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All right, ready to dive deep into some data storage.

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Let's do it.

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We're talking Minio A store, an object storage solution.

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That's, um, making ways in the AI world.

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Yeah, definitely a lot of buzz.

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We're digging through Minio's website, all their marketing stuff to figure

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out what makes AI store tick and why everyone's making such a fuss about it.

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It's interesting for sure.

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AI models these days are getting so demanding, gobbling up data like crazy.

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So the right storage can really make or break a project.

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No question about it.

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And Minio is, uh, making some pretty bold claims.

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Hyperscale software to find massive cost saving.

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Oh yeah.

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All the buzzwords.

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So before we go too far for anyone who needs a quick refresher, sure.

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What exactly is object storage and why is it so crucial in the AI world?

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So imagine you're trying to find a specific research paper, okay.

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But it's buried in a room full of unsorted documents.

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Oh, a nightmare.

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Right.

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That's like traditional file storage.

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Object storage is different.

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How so?

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It's like having a library, but with a super efficient indexing system.

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Each piece of data, like your paper and image, whatever, it becomes an object

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with a unique ID and searchable metadata.

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So it's organized.

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Exactly.

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And that makes managing massive amounts of data, way faster, more efficient.

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Which is what AI needs.

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Exactly.

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Speed and efficiency.

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Okay, so finding the right needle in the haystack, even if that haystack is huge.

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Huge.

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Got it.

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Good.

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Now let's unpack these bold claims about AI store.

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All right.

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They say it's hyperscale.

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What does that even mean in practice?

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So hyperscale means the system can grow as your needs grow, even

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if those needs get enormous.

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Like how enormous are we talking?

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Pedabytes.

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Wow.

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Even exabytes of data.

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No way.

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And AI store handles this by distributing data.

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Okay.

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Across multiple servers, they act as one big storage pool.

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Yeah.

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So no more hitting a wall as your AI project takes off.

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So as my data grows, AI store grows with it.

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Exactly.

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That's a relief.

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Yeah.

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No more scrambling for storage.

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Right.

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Just when your model is about to make a breakthrough.

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Exactly.

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Okay.

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What about software defined?

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Ah, what kind of flexibility does that offer?

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Freedom.

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Freedom.

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Yeah.

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Freedom from proprietary hardware.

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Okay.

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AI store can run on pretty much anything.

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Really?

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Like what?

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Standard servers, cloud instances, even those new fancy AI chips.

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Oh, interesting.

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So it gives you choices.

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Right.

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And it can save you a ton of money.

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Yeah.

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Compared to those locked in hardware solutions.

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Exactly.

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Okay.

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I'm seeing the appeal there, especially for organizations with a tight budget.

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Oh, for sure.

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Now, speaking of budget, Minio claims AI store can slash costs by 60% compared to

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cloud storage.

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That's a big claim.

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I'm always a little skeptical.

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I hear you.

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Is that realistic?

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Well, the cloud is convenient.

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Oh, absolutely.

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But those costs can get out of control.

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Yeah.

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Especially for AI workloads.

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Definitely.

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So what would those savings look like in real world terms?

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Let's say you're managing a petabyte of data.

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Okay.

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Which is not unusual in AI these days.

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Right.

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With cloud storage, you could be paying tens of thousands per month.

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Seriously?

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Easy.

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Wow.

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AI store running on your own infrastructure could bring that down to a fraction of

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the

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cost.

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Okay.

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Now we're talking.

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Intentionally saving millions over time.

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Millions.

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Yeah.

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Okay.

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I see why people are paying attention.

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It's a game changer.

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Absolutely.

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Especially since Minio says users can manage all that data.

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Right.

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With surprisingly small teams.

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Yeah.

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They've really streamlined things.

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How do they achieve that level of efficiency?

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They've focused on making AI store easy to manage.

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Okay.

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A lot of the complexities of large scale storage.

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I bet.

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Have been simplified.

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So even the small team can handle it.

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Yeah.

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What used to require a whole department.

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Wow.

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It's lean and mean.

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All right.

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Now let's talk speed.

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Minio calls AI store the world's fastest object store.

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Of course they do.

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Marketing loves superlatives.

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Always.

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But in AI, where every second counts.

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Yeah.

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How much does storage speed really matter?

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Speed is critical.

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Okay.

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Especially when training AI models.

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Right.

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Think of it like this.

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Your model is learning by processing tons of data.

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Yeah.

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The faster it accesses that data.

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Okay.

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The faster it learns.

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Makes sense.

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And delivers results.

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So AI store helps with that.

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AI store minimizes the data bottleneck.

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So it's like giving my models a caffeine boost.

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Exactly.

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They can learn and evolve much quicker.

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And they back up these speed claims with benchmarks.

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Oh, yeah, they've run extensive tests.

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Okay.

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The results are impressive.

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Especially for AI demands.

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Particularly for the high throughput demands of AI.

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Take your word for it.

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You should.

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It's pretty impressive.

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But all this talk about performance and efficiency.

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Are we sacrificing anything in terms of security?

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That's a good question.

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We're dealing with increasingly sensitive data in AI.

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For sure.

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So how does AI sort address that?

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Security is paramount.

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They know that AI store has multiple layers of protection.

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Like what?

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Starting with robust encryption.

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Okay.

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And they're smart about it.

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How so?

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They use algorithms that minimize the performance impact.

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So you get security without sacrificing speed.

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Exactly.

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A win-win.

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Slow encryption has always been a concern.

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It has.

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So they've made it secure A and D fast.

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Yes.

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Impressive.

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Right.

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What else is in their security toolkit?

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Well, they include their own key management server.

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Okay.

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Or KMS for short.

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It gives you complete control over those encryption keys.

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Oh, that's good.

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Plus there's a built-in S3 aware firewall to prevent unauthorized access.

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Sounds pretty secure.

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They're serious about keeping your data safe.

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It sounds like a fortress for my data.

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It really does.

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Which is reassuring these days.

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Yeah.

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With all the cybersecurity concerns.

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Exactly.

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But AI store isn't just about storing data, right?

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Right.

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They also mentioned features like replication, versioning, lifecycle management.

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Yes, it's a whole package.

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Why are these so important for AI specifically?

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Well, these features ensure your data is always available, protected and used

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efficiently, which is critical for any data intensive field.

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Especially AI.

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Especially AI.

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Imagine you're training a crucial model and a server fails.

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Oh no.

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Replication kicks in.

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It automatically copies your data.

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So my project doesn't skip a beat.

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Exactly.

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That's amazing.

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Or maybe you're experimenting with your model and you need to go back

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to a previous dataset.

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Oh, interesting.

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Versioning lets you track every change.

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So you can compare and revoke.

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Precisely.

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That's like a time machine for my experiments.

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Exactly.

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And life cycle management is all about automation.

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How so?

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AI store moves data between storage tiers based on how often it's needed.

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So frequently used data stays easily accessible.

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Yes.

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On the fast track.

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And less used data.

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Goes to a more cost effective tier.

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So it's optimizing performance and costs.

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You got it.

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Without having to micromanage everything.

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Exactly.

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It takes care of itself.

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Now you mentioned AI store is object native.

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Yeah.

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That's a key point.

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It keeps coming up.

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So it must be important.

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It is.

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Can you explain what that means for someone in AI development?

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So it means AI store is built from the ground up for object storage.

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It's not an afterthought.

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Okay.

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It's like speaking the same language as all those other AI tools and frameworks.

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So smoother integration.

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Yes.

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Easier data pipelines.

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Okay.

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Potentially faster model training.

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So it fits right into the AI workflow.

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It does.

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Another thing that caught my eye.

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What's that?

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Is all the companies AI store integrates with?

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Yeah.

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They've got a lot of partnerships.

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Any scale zillies.

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Not small players.

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What does this tell us about Minio's place in the AI world?

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It means they're serious.

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Okay.

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They're not playing around.

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They're building a strong ecosystem.

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Collaborating with key players.

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So it's more than just storage.

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Yeah.

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They're becoming part of the AI infrastructure.

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But what do these integrations mean for someone using AI store?

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Real world benefits.

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Give me an example.

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Take their integration with any scale.

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Okay.

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They specialize in distributed computing for AI, which can be tough to set up.

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I bet.

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But with AI store, you can seamlessly scale your AI workloads.

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Across a whole cluster of servers.

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Exactly.

287
00:08:39,960 --> 00:08:40,520
Wow.

288
00:08:40,520 --> 00:08:41,240
That's powerful.

289
00:08:41,240 --> 00:08:43,440
It's like having expert engineers.

290
00:08:43,440 --> 00:08:44,520
Right there to help.

291
00:08:44,520 --> 00:08:45,880
Optimizing your infrastructure.

292
00:08:45,880 --> 00:08:49,360
So it takes away the pain of managing large scale AI.

293
00:08:49,360 --> 00:08:50,280
Exactly.

294
00:08:50,280 --> 00:08:52,720
And Zillis, they're the vector database folks, right?

295
00:08:52,720 --> 00:08:53,320
They are.

296
00:08:53,320 --> 00:08:54,760
What does that integration bring?

297
00:08:54,760 --> 00:08:58,600
Vector databases are crucial for AI applications.

298
00:08:58,600 --> 00:08:58,920
Okay.

299
00:08:58,920 --> 00:09:02,240
Like image recognition and natural language processing.

300
00:09:02,240 --> 00:09:04,800
So AI store makes it easy to work with that data.

301
00:09:04,800 --> 00:09:09,040
It simplifies storing and querying these complex data sets.

302
00:09:09,160 --> 00:09:10,960
It's all about removing roadblocks.

303
00:09:10,960 --> 00:09:11,360
Exactly.

304
00:09:11,360 --> 00:09:14,280
So you can focus on building AI applications.

305
00:09:14,280 --> 00:09:14,960
That's the goal.

306
00:09:14,960 --> 00:09:19,970
We've covered a lot here from the basics of object storage to some pretty advanced

307
00:09:19,970 --> 00:09:20,240
stuff.

308
00:09:20,240 --> 00:09:20,520
Yeah.

309
00:09:20,520 --> 00:09:21,240
We went deep.

310
00:09:21,240 --> 00:09:22,760
What are the key takeaways for you?

311
00:09:22,760 --> 00:09:24,640
It's the combination of factors.

312
00:09:24,640 --> 00:09:25,360
Like what?

313
00:09:25,360 --> 00:09:30,680
The focus on performance, the software defined flexibility and the

314
00:09:30,680 --> 00:09:33,120
features built specifically for AI.

315
00:09:33,120 --> 00:09:34,680
They're hitting that sweet spot.

316
00:09:34,680 --> 00:09:35,760
They're trying to.

317
00:09:35,760 --> 00:09:38,000
Of speed, affordability and ease of use.

318
00:09:38,000 --> 00:09:38,880
Exactly.

319
00:09:39,240 --> 00:09:41,280
And it seems like they might be pulling it off.

320
00:09:41,280 --> 00:09:42,360
From what we've seen.

321
00:09:42,360 --> 00:09:42,840
Yeah.

322
00:09:42,840 --> 00:09:44,560
They're making a strong case.

323
00:09:44,560 --> 00:09:45,240
They are.

324
00:09:45,240 --> 00:09:47,800
But we need to look at the other side of the coin too.

325
00:09:47,800 --> 00:09:48,160
Right.

326
00:09:48,160 --> 00:09:50,560
Are there any downsides or challenges?

327
00:09:50,560 --> 00:09:52,120
That's always a good question to ask.

328
00:09:52,120 --> 00:09:55,360
We'll tackle those tough questions in the next part of our deep dive.

329
00:09:55,360 --> 00:09:56,320
Looking forward to it.

330
00:09:56,320 --> 00:09:57,360
So stay tuned.

331
00:09:57,360 --> 00:09:58,280
Definitely do.

332
00:09:58,280 --> 00:10:03,240
So we've just explored the shiny, exciting side of Mignot AI Store.

333
00:10:03,240 --> 00:10:03,880
Right.

334
00:10:03,880 --> 00:10:05,200
All the bells and whistles.

335
00:10:05,200 --> 00:10:06,800
But like with any technology.

336
00:10:06,800 --> 00:10:07,240
Sure.

337
00:10:07,240 --> 00:10:08,360
There are always trade-offs.

338
00:10:08,400 --> 00:10:09,160
Absolutely.

339
00:10:09,160 --> 00:10:10,040
Potential challenges.

340
00:10:10,040 --> 00:10:10,280
Yeah.

341
00:10:10,280 --> 00:10:11,520
Got to look at both sides.

342
00:10:11,520 --> 00:10:13,080
So let's flip the script for a moment.

343
00:10:13,080 --> 00:10:14,280
Play devil's advocate.

344
00:10:14,280 --> 00:10:14,840
I like it.

345
00:10:14,840 --> 00:10:19,360
What are some potential downsides or concerns with AI Store?

346
00:10:19,360 --> 00:10:24,200
Well, even though they've tried to make it user friendly, AI Store is still an

347
00:10:24,200 --> 00:10:28,400
enterprise-grade system, setting it up, especially at scale.

348
00:10:28,400 --> 00:10:28,680
Right.

349
00:10:28,680 --> 00:10:31,080
It does require some technical expertise.

350
00:10:31,080 --> 00:10:33,000
So it's not something you can just download.

351
00:10:33,000 --> 00:10:33,440
Right.

352
00:10:33,440 --> 00:10:35,000
And expect it to magically work.

353
00:10:35,000 --> 00:10:36,000
It's not plug and play.

354
00:10:36,000 --> 00:10:36,880
You need some know-how.

355
00:10:37,040 --> 00:10:42,680
You'll probably need someone on your team who's comfortable with networking storage

356
00:10:42,680 --> 00:10:46,760
protocols, maybe a bit of Linux system administration.

357
00:10:46,760 --> 00:10:49,200
So some basic IT knowledge.

358
00:10:49,200 --> 00:10:51,480
It's not rocket science, but it helps.

359
00:10:51,480 --> 00:10:52,440
Makes sense.

360
00:10:52,440 --> 00:10:53,560
What about support?

361
00:10:53,560 --> 00:10:56,160
If things go wrong, who do you call?

362
00:10:56,160 --> 00:11:01,040
Mineo offers different support levels, including enterprise-grade support with

363
00:11:01,040 --> 00:11:06,280
guaranteed response times, but they're primarily a software company.

364
00:11:06,280 --> 00:11:06,600
Right.

365
00:11:06,600 --> 00:11:11,240
So for hardware trouble, you'll have to rely on your hardware vendor.

366
00:11:11,240 --> 00:11:15,360
So you need a plan for both software and hardware support.

367
00:11:15,360 --> 00:11:16,960
It's always good to be prepared.

368
00:11:16,960 --> 00:11:17,880
Just in case.

369
00:11:17,880 --> 00:11:19,160
Exactly.

370
00:11:19,160 --> 00:11:20,560
What about compatibility?

371
00:11:20,560 --> 00:11:23,960
We talk about AI store being object native.

372
00:11:23,960 --> 00:11:26,840
Is that limited to certain AI tools?

373
00:11:26,840 --> 00:11:30,800
They've designed it to be compatible with a wide range, largely because

374
00:11:30,800 --> 00:11:32,360
they stick to industry standards.

375
00:11:32,360 --> 00:11:33,160
Like S3.

376
00:11:33,160 --> 00:11:34,440
Exactly.

377
00:11:34,440 --> 00:11:35,960
But it's still smart to double check.

378
00:11:36,000 --> 00:11:36,920
Always a good idea.

379
00:11:36,920 --> 00:11:38,920
Make sure your specific tools are supported.

380
00:11:38,920 --> 00:11:39,280
Yeah.

381
00:11:39,280 --> 00:11:40,080
Do your homework.

382
00:11:40,080 --> 00:11:40,440
Okay.

383
00:11:40,440 --> 00:11:41,640
So some research is involved.

384
00:11:41,640 --> 00:11:42,800
A little due diligence.

385
00:11:42,800 --> 00:11:45,280
Then we talked about potential cost savings.

386
00:11:45,280 --> 00:11:45,840
Right.

387
00:11:45,840 --> 00:11:46,920
Compared to the cloud.

388
00:11:46,920 --> 00:11:49,000
Are there any hidden costs or gotchas?

389
00:11:49,000 --> 00:11:51,480
Well, AI store itself is open source.

390
00:11:51,480 --> 00:11:51,840
Okay.

391
00:11:51,840 --> 00:11:52,800
Free to use.

392
00:11:52,800 --> 00:11:54,880
But of course there are other costs.

393
00:11:54,880 --> 00:11:55,520
Like what?

394
00:11:55,520 --> 00:11:57,120
Hardware is the big one.

395
00:11:57,120 --> 00:11:57,600
Okay.

396
00:11:57,600 --> 00:12:00,040
Servers, networking gear.

397
00:12:00,040 --> 00:12:01,160
All of that.

398
00:12:01,160 --> 00:12:02,080
That can add up?

399
00:12:02,080 --> 00:12:03,960
It can, depending on your needs.

400
00:12:04,080 --> 00:12:08,560
So you're trading cloud fees for an upfront hardware investment.

401
00:12:08,560 --> 00:12:09,520
You could see it that way.

402
00:12:09,520 --> 00:12:11,080
And then there are operational costs.

403
00:12:11,080 --> 00:12:11,440
Right.

404
00:12:11,440 --> 00:12:12,640
Electricity.

405
00:12:12,640 --> 00:12:14,080
Keeping those servers running.

406
00:12:14,080 --> 00:12:14,720
Yeah.

407
00:12:14,720 --> 00:12:16,400
Those costs can add up at scale.

408
00:12:16,400 --> 00:12:17,840
So it's not just the sticker price.

409
00:12:17,840 --> 00:12:20,360
No, it's about the total cost of ownership.

410
00:12:20,360 --> 00:12:21,800
Looking at all the angles.

411
00:12:21,800 --> 00:12:23,440
All the pieces of the puzzle.

412
00:12:23,440 --> 00:12:24,920
Don't forget about human resources.

413
00:12:24,920 --> 00:12:25,320
Right.

414
00:12:25,320 --> 00:12:30,480
Even though AI store is designed for efficiency, you still need skilled people.

415
00:12:30,480 --> 00:12:31,920
To manage the infrastructure.

416
00:12:31,920 --> 00:12:32,560
Exactly.

417
00:12:32,560 --> 00:12:34,280
It's not completely hands off.

418
00:12:34,280 --> 00:12:39,040
So you might be saving on cloud costs, but you're investing in other areas.

419
00:12:39,040 --> 00:12:41,240
Hardware, energy, people.

420
00:12:41,240 --> 00:12:42,120
It's a balancing act.

421
00:12:42,120 --> 00:12:45,040
It is finding the right balance for your organization.

422
00:12:45,040 --> 00:12:45,440
Okay.

423
00:12:45,440 --> 00:12:46,520
Let's zoom out a bit.

424
00:12:46,520 --> 00:12:46,880
All right.

425
00:12:46,880 --> 00:12:47,640
Look at the competition.

426
00:12:47,640 --> 00:12:47,880
Yeah.

427
00:12:47,880 --> 00:12:49,360
The object storage landscape.

428
00:12:49,360 --> 00:12:51,040
How does AI score stack up?

429
00:12:51,040 --> 00:12:52,240
It's a credit space.

430
00:12:52,240 --> 00:12:53,480
Lots of options out there.

431
00:12:53,480 --> 00:12:56,160
You've got Ceph, Gluster FS.

432
00:12:56,160 --> 00:12:56,520
Okay.

433
00:12:56,520 --> 00:12:57,520
Some familiar names.

434
00:12:57,520 --> 00:12:59,080
And of course the cloud giants.

435
00:12:59,080 --> 00:13:02,080
Amazon S3, Azure Blob storage.

436
00:13:02,160 --> 00:13:03,040
All the big players.

437
00:13:03,040 --> 00:13:04,960
So what makes AI store stand out?

438
00:13:04,960 --> 00:13:06,480
Minio is focused.

439
00:13:06,480 --> 00:13:06,880
Okay.

440
00:13:06,880 --> 00:13:07,240
On what?

441
00:13:07,240 --> 00:13:12,360
Performance, simplicity, and catering to AI workloads.

442
00:13:12,360 --> 00:13:13,720
They're going all in on AI.

443
00:13:13,720 --> 00:13:15,600
Their object native approach.

444
00:13:15,600 --> 00:13:16,840
Their focus on speed.

445
00:13:16,840 --> 00:13:18,680
It's all tailored for AI.

446
00:13:18,680 --> 00:13:21,720
Trying to be the go-to solution for AI storage.

447
00:13:21,720 --> 00:13:24,400
But how do they compete with the cloud providers?

448
00:13:24,400 --> 00:13:25,440
That's a big question.

449
00:13:25,440 --> 00:13:27,040
All those resources and infrastructure.

450
00:13:27,040 --> 00:13:27,960
That's a tough challenge.

451
00:13:27,960 --> 00:13:31,280
So what might sway someone to choose AI store instead?

452
00:13:32,040 --> 00:13:33,040
A few key things.

453
00:13:33,040 --> 00:13:34,640
Okay, I'm all ears.

454
00:13:34,640 --> 00:13:35,840
Cost is a big one.

455
00:13:35,840 --> 00:13:37,200
We talked about that.

456
00:13:37,200 --> 00:13:39,680
Running AI store on your own infrastructure.

457
00:13:39,680 --> 00:13:39,960
Right.

458
00:13:39,960 --> 00:13:41,360
Can save you a lot of money.

459
00:13:41,360 --> 00:13:43,080
Especially for large data sets.

460
00:13:43,080 --> 00:13:45,720
If you're dealing with terabytes or petabytes.

461
00:13:45,720 --> 00:13:46,760
The difference can be huge.

462
00:13:46,760 --> 00:13:49,200
Enormous, potentially millions of dollars.

463
00:13:49,200 --> 00:13:51,240
So cost might be the deciding factor.

464
00:13:51,240 --> 00:13:52,800
For some, it could be.

465
00:13:52,800 --> 00:13:53,360
What else?

466
00:13:53,360 --> 00:13:54,000
Control.

467
00:13:54,000 --> 00:13:54,360
Okay.

468
00:13:54,360 --> 00:13:57,840
With AI store, your data is your data.

469
00:13:57,840 --> 00:13:58,880
You have full control.

470
00:13:58,880 --> 00:14:00,120
You control the infrastructure.

471
00:14:00,480 --> 00:14:02,080
You set the security policies.

472
00:14:02,080 --> 00:14:02,440
Okay.

473
00:14:02,440 --> 00:14:04,480
You're not relying on a third party.

474
00:14:04,480 --> 00:14:06,680
For some organizations, that's crucial.

475
00:14:06,680 --> 00:14:08,240
Especially for sensitive data.

476
00:14:08,240 --> 00:14:08,720
Right.

477
00:14:08,720 --> 00:14:09,560
Peace of mind.

478
00:14:09,560 --> 00:14:11,920
Knowing your data is truly yours.

479
00:14:11,920 --> 00:14:12,920
And the third point.

480
00:14:12,920 --> 00:14:13,360
Okay.

481
00:14:13,360 --> 00:14:14,160
We talked about that too.

482
00:14:14,160 --> 00:14:18,280
AI store has consistently shown top-notch performance.

483
00:14:18,280 --> 00:14:19,760
Even compared to the cloud.

484
00:14:19,760 --> 00:14:23,480
Especially for those high throughput AI workloads.

485
00:14:23,480 --> 00:14:24,600
They're pushing the boundaries.

486
00:14:24,600 --> 00:14:25,960
In terms of speed and efficiency.

487
00:14:25,960 --> 00:14:27,840
So they're giving the cloud a run for its money.

488
00:14:27,840 --> 00:14:29,640
They're definitely competitive.

489
00:14:29,680 --> 00:14:31,760
But the cloud is constantly innovating too.

490
00:14:31,760 --> 00:14:32,000
Right.

491
00:14:32,000 --> 00:14:33,200
It's a moving target.

492
00:14:33,200 --> 00:14:34,360
It's a dynamic market.

493
00:14:34,360 --> 00:14:37,040
You have to find the best solution for you.

494
00:14:37,040 --> 00:14:39,240
There's no one size fits all answer.

495
00:14:39,240 --> 00:14:40,160
Exactly.

496
00:14:40,160 --> 00:14:41,600
It depends on your needs.

497
00:14:41,600 --> 00:14:45,680
Your priorities, your budget, your risk tolerance.

498
00:14:45,680 --> 00:14:47,320
All those factors come into play.

499
00:14:47,320 --> 00:14:48,480
So do your research.

500
00:14:48,480 --> 00:14:49,040
Absolutely.

501
00:14:49,040 --> 00:14:50,040
Compare the options.

502
00:14:50,040 --> 00:14:51,640
Don't be afraid to ask questions.

503
00:14:51,640 --> 00:14:52,040
All right.

504
00:14:52,040 --> 00:14:53,080
We've covered a lot here.

505
00:14:53,080 --> 00:14:55,720
From potential downsides to the competitive landscape.

506
00:14:55,720 --> 00:14:57,000
As we wrap up this part.

507
00:14:57,000 --> 00:14:57,560
Yeah.

508
00:14:57,560 --> 00:14:59,960
What are some key questions to keep in mind?

509
00:14:59,960 --> 00:15:04,400
When evaluating AI store or any object storage.

510
00:15:04,400 --> 00:15:06,400
For AI projects.

511
00:15:06,400 --> 00:15:08,720
It always starts with your data needs.

512
00:15:08,720 --> 00:15:09,880
How much data do you have?

513
00:15:09,880 --> 00:15:11,240
How much do you expect to have?

514
00:15:11,240 --> 00:15:12,400
Because it grows quickly.

515
00:15:12,400 --> 00:15:14,120
It does, especially in AI.

516
00:15:14,120 --> 00:15:16,080
So think about tomorrow's challenges.

517
00:15:16,080 --> 00:15:17,600
Don't just focus on today.

518
00:15:17,600 --> 00:15:19,400
Then think about performance.

519
00:15:19,400 --> 00:15:21,520
How quickly do you need to access the data?

520
00:15:21,520 --> 00:15:23,120
What are your latency needs?

521
00:15:23,120 --> 00:15:24,880
What about throughput?

522
00:15:24,880 --> 00:15:26,840
Speed is key in AI.

523
00:15:27,040 --> 00:15:27,760
It often is.

524
00:15:27,760 --> 00:15:28,480
What else?

525
00:15:28,480 --> 00:15:29,640
Security, of course.

526
00:15:29,640 --> 00:15:30,000
Right.

527
00:15:30,000 --> 00:15:30,960
Protecting your data.

528
00:15:30,960 --> 00:15:32,600
What level of protection do you need?

529
00:15:32,600 --> 00:15:36,760
Encryption, access controls, auditing.

530
00:15:36,760 --> 00:15:38,840
It all depends on your use case.

531
00:15:38,840 --> 00:15:41,160
Don't skimp on security.

532
00:15:41,160 --> 00:15:42,840
Especially with sensitive data.

533
00:15:42,840 --> 00:15:44,480
Better safe than sorry.

534
00:15:44,480 --> 00:15:45,200
Absolutely.

535
00:15:45,200 --> 00:15:46,280
Any other considerations?

536
00:15:46,280 --> 00:15:49,960
Be realistic about your budget and your internal expertise.

537
00:15:49,960 --> 00:15:51,400
Can you afford the hardware?

538
00:15:51,400 --> 00:15:53,440
Do you have the skills to manage it?

539
00:15:53,440 --> 00:15:54,960
Those are important questions.

540
00:15:54,960 --> 00:15:55,960
Before you dive in.

541
00:15:55,960 --> 00:15:56,960
So take a holistic view.

542
00:15:57,000 --> 00:15:58,000
Look at all the pieces.

543
00:15:58,000 --> 00:15:59,080
Before making a decision.

544
00:15:59,080 --> 00:16:00,240
It's a big decision.

545
00:16:00,240 --> 00:16:02,600
Now, how do you see object storage adapting?

546
00:16:02,600 --> 00:16:05,280
To keep pace with AI innovation.

547
00:16:05,280 --> 00:16:06,920
What are the trends on the horizon?

548
00:16:06,920 --> 00:16:09,440
I'm excited about integration with hardware.

549
00:16:09,440 --> 00:16:10,160
Okay.

550
00:16:10,160 --> 00:16:11,200
Like what kind of hardware?

551
00:16:11,200 --> 00:16:15,360
Specialized AI chips, high-performance networking.

552
00:16:15,360 --> 00:16:17,040
Object storage needs to keep up.

553
00:16:17,040 --> 00:16:19,520
It does to take advantage of those advancements.

554
00:16:19,520 --> 00:16:22,080
So optimizing for the hardware driving AI.

555
00:16:22,080 --> 00:16:22,960
Exactly.

556
00:16:22,960 --> 00:16:24,360
We're also seeing a shift.

557
00:16:24,400 --> 00:16:28,400
Towards using object storage for the entire AI life cycle.

558
00:16:28,400 --> 00:16:30,040
Not just storing data.

559
00:16:30,040 --> 00:16:31,920
It's about managing it.

560
00:16:31,920 --> 00:16:33,040
From beginning to end.

561
00:16:33,040 --> 00:16:35,040
From ingestion to deployment.

562
00:16:35,040 --> 00:16:37,680
So it's becoming an active part of the workflow.

563
00:16:37,680 --> 00:16:39,840
More than just a passive repository.

564
00:16:39,840 --> 00:16:41,160
As AI advances.

565
00:16:41,160 --> 00:16:43,320
I think we'll see even more creative uses.

566
00:16:43,320 --> 00:16:45,360
Unlocking more value from our data.

567
00:16:45,360 --> 00:16:46,080
That's the goal.

568
00:16:46,080 --> 00:16:48,520
Now for anyone still on the fence about object storage.

569
00:16:48,520 --> 00:16:49,120
Yeah.

570
00:16:49,120 --> 00:16:50,320
Those who are hesitant.

571
00:16:50,320 --> 00:16:52,440
What would you tell them about taking the plunge?

572
00:16:53,280 --> 00:16:55,480
Especially with something like AI store.

573
00:16:55,480 --> 00:16:57,880
Don't be afraid to explore.

574
00:16:57,880 --> 00:16:58,920
Experiment.

575
00:16:58,920 --> 00:17:02,200
The world of object storage is full of powerful solutions.

576
00:17:02,200 --> 00:17:04,160
That can change how you manage data.

577
00:17:04,160 --> 00:17:06,400
AI stores is definitely worth considering.

578
00:17:06,400 --> 00:17:08,400
But find the solution that fits your needs.

579
00:17:08,400 --> 00:17:10,040
Do your research.

580
00:17:10,040 --> 00:17:11,640
Find the right fit.

581
00:17:11,640 --> 00:17:12,880
That's great advice.

582
00:17:12,880 --> 00:17:13,440
Thanks.

583
00:17:13,440 --> 00:17:14,960
Don't be afraid to dive in.

584
00:17:14,960 --> 00:17:16,120
See if it's possible.

585
00:17:16,120 --> 00:17:18,160
And for those ready to take the next step.

586
00:17:18,160 --> 00:17:18,760
Yeah.

587
00:17:18,760 --> 00:17:20,200
We'll be back in part three.

588
00:17:20,200 --> 00:17:21,680
With some practical tips.

589
00:17:21,720 --> 00:17:23,640
To help you get started with AI store.

590
00:17:23,640 --> 00:17:24,680
Hands on advice.

591
00:17:24,680 --> 00:17:25,800
So stay tuned.

592
00:17:25,800 --> 00:17:27,040
We'll be right back.

593
00:17:27,040 --> 00:17:28,840
Welcome back to the deep dive.

594
00:17:28,840 --> 00:17:29,720
Glad to be here.

595
00:17:29,720 --> 00:17:33,880
We've spent the last two parts exploring Minio AI store.

596
00:17:33,880 --> 00:17:35,280
All its ins and outs.

597
00:17:35,280 --> 00:17:38,160
From the features to the potential challenges.

598
00:17:38,160 --> 00:17:38,680
Great.

599
00:17:38,680 --> 00:17:40,040
A comprehensive look.

600
00:17:40,040 --> 00:17:42,240
Now for those of you ready to take the leap.

601
00:17:42,240 --> 00:17:43,720
Ready to get their hands dirty.

602
00:17:43,720 --> 00:17:45,480
We've got some practical tips.

603
00:17:45,480 --> 00:17:45,800
Yeah.

604
00:17:45,800 --> 00:17:47,120
Some actionable advice.

605
00:17:47,120 --> 00:17:49,040
To help you get started with AI store.

606
00:17:49,040 --> 00:17:50,360
Let's dive in.

607
00:17:50,400 --> 00:17:51,800
So where do we even begin?

608
00:17:51,800 --> 00:17:53,720
It's easy to feel overwhelmed.

609
00:17:53,720 --> 00:17:54,880
With all this information.

610
00:17:54,880 --> 00:17:55,920
It can be a lot.

611
00:17:55,920 --> 00:17:57,240
So many moving parts.

612
00:17:57,240 --> 00:18:00,160
That's why I always recommend starting with a proof of concept.

613
00:18:00,160 --> 00:18:00,520
Okay.

614
00:18:00,520 --> 00:18:01,440
A proof of concept.

615
00:18:01,440 --> 00:18:01,680
Yeah.

616
00:18:01,680 --> 00:18:06,480
Before you commit to a full deployment, test AI store in a safe environment.

617
00:18:06,480 --> 00:18:08,120
So get a feel for how it works.

618
00:18:08,120 --> 00:18:08,640
Exactly.

619
00:18:08,640 --> 00:18:09,640
See if it's a good fit.

620
00:18:09,640 --> 00:18:11,080
Without diving into the deep end.

621
00:18:11,080 --> 00:18:11,400
Right.

622
00:18:11,400 --> 00:18:13,200
Dip your toes in first.

623
00:18:13,200 --> 00:18:14,840
How do we set up a proof of concept?

624
00:18:14,840 --> 00:18:16,040
Minio makes it easy.

625
00:18:16,040 --> 00:18:16,800
Okay, good.

626
00:18:16,800 --> 00:18:17,880
They have a free trial.

627
00:18:17,880 --> 00:18:18,800
Oh, even better.

628
00:18:18,880 --> 00:18:24,720
Download AI store, install it on a couple of servers, run some basic tests.

629
00:18:24,720 --> 00:18:26,160
And see how it performs.

630
00:18:26,160 --> 00:18:28,520
With your specific AI workloads.

631
00:18:28,520 --> 00:18:30,800
So a free trial is the first step.

632
00:18:30,800 --> 00:18:32,280
Great starting point.

633
00:18:32,280 --> 00:18:33,480
Where can our listeners find that?

634
00:18:33,480 --> 00:18:34,760
Minio's website.

635
00:18:34,760 --> 00:18:35,120
Okay.

636
00:18:35,120 --> 00:18:35,720
Easy enough.

637
00:18:35,720 --> 00:18:37,320
min.io.

638
00:18:37,320 --> 00:18:38,920
I'll make sure to link it in the show notes.

639
00:18:38,920 --> 00:18:40,880
So you've downloaded AI store.

640
00:18:40,880 --> 00:18:41,920
You've got your test environment.

641
00:18:41,920 --> 00:18:42,560
It's next.

642
00:18:42,560 --> 00:18:43,760
Now comes the fun part.

643
00:18:43,760 --> 00:18:45,040
Configuration.

644
00:18:45,040 --> 00:18:46,000
Configuration.

645
00:18:46,000 --> 00:18:46,160
Yeah.

646
00:18:46,160 --> 00:18:48,320
AI store is highly configurable.

647
00:18:48,480 --> 00:18:48,840
Okay.

648
00:18:48,840 --> 00:18:50,760
You can fine tune it to meet your needs.

649
00:18:50,760 --> 00:18:51,920
That's where I get a little nervous.

650
00:18:51,920 --> 00:18:52,880
It sounds intimidating.

651
00:18:52,880 --> 00:18:53,840
All those settings.

652
00:18:53,840 --> 00:18:54,400
Don't worry.

653
00:18:54,400 --> 00:18:56,640
NEO has excellent documentation.

654
00:18:56,640 --> 00:18:58,640
That's good to hear.

655
00:18:58,640 --> 00:19:00,040
It walks you through everything.

656
00:19:00,040 --> 00:19:01,640
All the different configuration options.

657
00:19:01,640 --> 00:19:03,040
We also have a great community forum.

658
00:19:03,040 --> 00:19:04,080
Oh nice.

659
00:19:04,080 --> 00:19:07,080
Ask questions, get help from other users.

660
00:19:07,080 --> 00:19:08,120
So I'm not alone.

661
00:19:08,120 --> 00:19:11,240
You can even talk to Minio experts.

662
00:19:11,240 --> 00:19:12,880
That's a huge relief.

663
00:19:12,880 --> 00:19:14,080
They're very responsive.

664
00:19:14,080 --> 00:19:15,680
So let's say I've done the configuration.

665
00:19:15,680 --> 00:19:16,760
You've run some tests.

666
00:19:16,760 --> 00:19:18,400
I'm happy with the results.

667
00:19:18,480 --> 00:19:19,440
It's looking good.

668
00:19:19,440 --> 00:19:20,920
How do I take this to production?

669
00:19:20,920 --> 00:19:22,360
You need a solid plan.

670
00:19:22,360 --> 00:19:22,800
Okay.

671
00:19:22,800 --> 00:19:24,280
A plan for your production deployment.

672
00:19:24,280 --> 00:19:26,360
What kind of things should we be thinking about?

673
00:19:26,360 --> 00:19:31,800
Hardware selection, network architecture, security protocols.

674
00:19:31,800 --> 00:19:32,120
Right.

675
00:19:32,120 --> 00:19:33,160
All the important stuff.

676
00:19:33,160 --> 00:19:36,120
And your data backup and recovery strategy.

677
00:19:36,120 --> 00:19:37,440
So it's a whole ecosystem.

678
00:19:37,440 --> 00:19:40,080
It is supporting your AI infrastructure.

679
00:19:40,080 --> 00:19:42,000
Does Minio offer help with that?

680
00:19:42,000 --> 00:19:42,400
You do.

681
00:19:42,400 --> 00:19:43,880
They have professional services.

682
00:19:43,880 --> 00:19:44,560
Oh, that's good to know.

683
00:19:44,560 --> 00:19:46,280
They can guide you through the process.

684
00:19:46,280 --> 00:19:47,760
Provide expert advice.

685
00:19:47,800 --> 00:19:48,720
Best practices.

686
00:19:48,720 --> 00:19:49,800
Hands-on assistance.

687
00:19:49,800 --> 00:19:52,200
They can help make that transition smooth.

688
00:19:52,200 --> 00:19:55,520
Especially for organizations without a big IT staff.

689
00:19:55,520 --> 00:19:57,240
It can be a huge help.

690
00:19:57,240 --> 00:20:00,360
Now let's say my production environment is up and running.

691
00:20:00,360 --> 00:20:01,840
Data is flowing.

692
00:20:01,840 --> 00:20:03,400
Models are training.

693
00:20:03,400 --> 00:20:05,160
What about maintenance and support?

694
00:20:05,160 --> 00:20:06,000
That's important.

695
00:20:06,000 --> 00:20:07,920
Is it a full-time job to keep it running?

696
00:20:07,920 --> 00:20:10,880
Minio offers different support levels.

697
00:20:10,880 --> 00:20:11,320
Okay.

698
00:20:11,320 --> 00:20:12,560
To fit different needs.

699
00:20:12,560 --> 00:20:14,000
From community support.

700
00:20:14,000 --> 00:20:14,800
On the forum.

701
00:20:14,800 --> 00:20:16,760
To enterprise-grade support.

702
00:20:16,880 --> 00:20:18,360
With those guaranteed response times.

703
00:20:18,360 --> 00:20:19,960
So peace of mind if things go wrong.

704
00:20:19,960 --> 00:20:22,000
They also release regular updates.

705
00:20:22,000 --> 00:20:22,320
Okay.

706
00:20:22,320 --> 00:20:24,960
Security patches, performance enhancements.

707
00:20:24,960 --> 00:20:27,200
To keep your system running smoothly.

708
00:20:27,200 --> 00:20:28,800
Always evolving.

709
00:20:28,800 --> 00:20:30,960
It's important to choose the right support level.

710
00:20:30,960 --> 00:20:32,200
That matches your needs.

711
00:20:32,200 --> 00:20:33,600
And your risk tolerance.

712
00:20:33,600 --> 00:20:34,600
Exactly.

713
00:20:34,600 --> 00:20:36,680
But it's also wise to be proactive.

714
00:20:36,680 --> 00:20:38,160
Monitor your system.

715
00:20:38,160 --> 00:20:39,360
Have a backup plan.

716
00:20:39,360 --> 00:20:41,120
Stay up to date on security.

717
00:20:41,120 --> 00:20:43,080
A little prevention goes a long way.

718
00:20:43,080 --> 00:20:43,800
It does.

719
00:20:43,800 --> 00:20:45,600
As we wrap up our practical guide.

720
00:20:45,640 --> 00:20:48,680
Yeah, getting ready to launch AI Store.

721
00:20:48,680 --> 00:20:50,600
What are some key resources?

722
00:20:50,600 --> 00:20:53,000
Tools that our listeners should check out.

723
00:20:53,000 --> 00:20:54,400
As they embark on this journey.

724
00:20:54,400 --> 00:20:56,280
Minio's website is the first stop.

725
00:20:56,280 --> 00:20:58,080
We've mentioned that a few times.

726
00:20:58,080 --> 00:20:59,720
A goldmine of information.

727
00:20:59,720 --> 00:21:01,800
All the documentation, tutorial.

728
00:21:01,800 --> 00:21:02,720
Both. Forums.

729
00:21:02,720 --> 00:21:03,800
The wealth of knowledge.

730
00:21:03,800 --> 00:21:04,560
It's all there.

731
00:21:04,560 --> 00:21:06,160
Any other places worth exploring?

732
00:21:06,160 --> 00:21:08,040
If you're a hands-on learner.

733
00:21:08,040 --> 00:21:08,440
Okay.

734
00:21:08,440 --> 00:21:10,880
Minio has online training courses.

735
00:21:10,880 --> 00:21:11,680
Interesting.

736
00:21:11,680 --> 00:21:12,720
They cover everything.

737
00:21:12,720 --> 00:21:14,960
From the basics to advanced techniques.

738
00:21:15,040 --> 00:21:17,120
Find the right level for you.

739
00:21:17,120 --> 00:21:19,280
So, no matter your learning style.

740
00:21:19,280 --> 00:21:20,640
There's a path for you.

741
00:21:20,640 --> 00:21:22,000
And don't forget about the community.

742
00:21:22,000 --> 00:21:24,600
The Minio community is fantastic.

743
00:21:24,600 --> 00:21:25,800
Active and supportive.

744
00:21:25,800 --> 00:21:27,800
Always willing to share their knowledge.

745
00:21:27,800 --> 00:21:29,560
You can learn so much from others.

746
00:21:29,560 --> 00:21:31,160
Who are going through the same things.

747
00:21:31,160 --> 00:21:32,400
Facing the same challenges.

748
00:21:32,400 --> 00:21:34,000
Celebrating the same successes.

749
00:21:34,000 --> 00:21:38,040
As we wrap up our deep dive into Minio AI Store.

750
00:21:38,040 --> 00:21:39,520
Yeah, it's been a journey.

751
00:21:39,520 --> 00:21:42,560
What's the one key takeaway you want our listeners to leave with?

752
00:21:42,560 --> 00:21:45,760
Object storage is not a niche technology anymore.

753
00:21:45,760 --> 00:21:47,200
It's becoming mainstream.

754
00:21:47,200 --> 00:21:49,520
It's the foundation for modern AI.

755
00:21:49,520 --> 00:21:51,560
And solutions like AI Store.

756
00:21:51,560 --> 00:21:52,800
Are making it accessible.

757
00:21:52,800 --> 00:21:54,000
To harness its power.

758
00:21:54,000 --> 00:21:56,840
And as AI keeps evolving.

759
00:21:56,840 --> 00:21:58,160
At such a rapid pace.

760
00:21:58,160 --> 00:22:00,920
How we manage our data will be crucial.

761
00:22:00,920 --> 00:22:01,800
To our success.

762
00:22:01,800 --> 00:22:03,320
Stay curious, stay informed.

763
00:22:03,320 --> 00:22:05,440
Never stop exploring the possibilities.

764
00:22:05,440 --> 00:22:06,120
That's the key.

765
00:22:06,120 --> 00:22:07,360
Object storage.

766
00:22:07,360 --> 00:22:08,720
AI Store in particular.

767
00:22:08,720 --> 00:22:10,240
Definitely a space to watch.

768
00:22:10,240 --> 00:22:11,960
Thank you for joining us on this deep dive.

769
00:22:11,960 --> 00:22:13,080
It's been a pleasure.

770
00:22:13,080 --> 00:22:14,600
We hope you found it insightful.

771
00:22:14,600 --> 00:22:15,400
And helpful.

772
00:22:15,400 --> 00:22:16,480
And until next time.

773
00:22:16,480 --> 00:22:17,240
See you then.

774
00:22:17,240 --> 00:22:18,560
Keep exploring.

775
00:22:18,560 --> 00:22:19,440
Keep learning.

776
00:22:19,440 --> 00:22:20,800
Keep pushing those boundaries.

777
00:22:20,800 --> 00:22:22,320
And keep innovating with AI.

778
00:22:22,320 --> 00:22:23,400
Absolutely.

779
00:22:23,400 --> 00:22:24,680
Until next time.