1 00:00:00,000 --> 00:00:02,540 All right, ready to dive deep into some data storage. 2 00:00:02,540 --> 00:00:03,200 Let's do it. 3 00:00:03,200 --> 00:00:07,640 We're talking Minio A store, an object storage solution. 4 00:00:07,640 --> 00:00:10,960 That's, um, making ways in the AI world. 5 00:00:10,960 --> 00:00:12,360 Yeah, definitely a lot of buzz. 6 00:00:12,360 --> 00:00:16,240 We're digging through Minio's website, all their marketing stuff to figure 7 00:00:16,240 --> 00:00:20,640 out what makes AI store tick and why everyone's making such a fuss about it. 8 00:00:20,640 --> 00:00:21,800 It's interesting for sure. 9 00:00:21,800 --> 00:00:26,400 AI models these days are getting so demanding, gobbling up data like crazy. 10 00:00:26,400 --> 00:00:29,800 So the right storage can really make or break a project. 11 00:00:29,840 --> 00:00:30,960 No question about it. 12 00:00:30,960 --> 00:00:36,160 And Minio is, uh, making some pretty bold claims. 13 00:00:36,160 --> 00:00:40,040 Hyperscale software to find massive cost saving. 14 00:00:40,040 --> 00:00:40,600 Oh yeah. 15 00:00:40,600 --> 00:00:41,400 All the buzzwords. 16 00:00:41,400 --> 00:00:44,720 So before we go too far for anyone who needs a quick refresher, sure. 17 00:00:44,720 --> 00:00:50,760 What exactly is object storage and why is it so crucial in the AI world? 18 00:00:50,760 --> 00:00:54,960 So imagine you're trying to find a specific research paper, okay. 19 00:00:54,960 --> 00:00:58,120 But it's buried in a room full of unsorted documents. 20 00:00:58,120 --> 00:00:59,000 Oh, a nightmare. 21 00:00:59,000 --> 00:00:59,400 Right. 22 00:00:59,440 --> 00:01:01,040 That's like traditional file storage. 23 00:01:01,040 --> 00:01:02,440 Object storage is different. 24 00:01:02,440 --> 00:01:03,040 How so? 25 00:01:03,040 --> 00:01:07,920 It's like having a library, but with a super efficient indexing system. 26 00:01:07,920 --> 00:01:13,800 Each piece of data, like your paper and image, whatever, it becomes an object 27 00:01:13,800 --> 00:01:17,440 with a unique ID and searchable metadata. 28 00:01:17,440 --> 00:01:18,520 So it's organized. 29 00:01:18,520 --> 00:01:19,280 Exactly. 30 00:01:19,280 --> 00:01:23,840 And that makes managing massive amounts of data, way faster, more efficient. 31 00:01:23,840 --> 00:01:25,200 Which is what AI needs. 32 00:01:25,200 --> 00:01:25,760 Exactly. 33 00:01:25,760 --> 00:01:27,000 Speed and efficiency. 34 00:01:27,040 --> 00:01:31,680 Okay, so finding the right needle in the haystack, even if that haystack is huge. 35 00:01:31,680 --> 00:01:32,280 Huge. 36 00:01:32,280 --> 00:01:32,760 Got it. 37 00:01:32,760 --> 00:01:33,400 Good. 38 00:01:33,400 --> 00:01:37,480 Now let's unpack these bold claims about AI store. 39 00:01:37,480 --> 00:01:38,240 All right. 40 00:01:38,240 --> 00:01:40,240 They say it's hyperscale. 41 00:01:40,240 --> 00:01:43,280 What does that even mean in practice? 42 00:01:43,280 --> 00:01:47,680 So hyperscale means the system can grow as your needs grow, even 43 00:01:47,680 --> 00:01:48,760 if those needs get enormous. 44 00:01:48,760 --> 00:01:50,360 Like how enormous are we talking? 45 00:01:50,360 --> 00:01:51,120 Pedabytes. 46 00:01:51,120 --> 00:01:51,560 Wow. 47 00:01:51,560 --> 00:01:53,040 Even exabytes of data. 48 00:01:53,040 --> 00:01:53,600 No way. 49 00:01:53,600 --> 00:01:56,320 And AI store handles this by distributing data. 50 00:01:56,320 --> 00:01:56,600 Okay. 51 00:01:56,960 --> 00:02:00,760 Across multiple servers, they act as one big storage pool. 52 00:02:00,760 --> 00:02:01,240 Yeah. 53 00:02:01,240 --> 00:02:04,560 So no more hitting a wall as your AI project takes off. 54 00:02:04,560 --> 00:02:07,240 So as my data grows, AI store grows with it. 55 00:02:07,240 --> 00:02:07,800 Exactly. 56 00:02:07,800 --> 00:02:08,440 That's a relief. 57 00:02:08,440 --> 00:02:08,720 Yeah. 58 00:02:08,720 --> 00:02:10,640 No more scrambling for storage. 59 00:02:10,640 --> 00:02:11,040 Right. 60 00:02:11,040 --> 00:02:14,120 Just when your model is about to make a breakthrough. 61 00:02:14,120 --> 00:02:14,880 Exactly. 62 00:02:14,880 --> 00:02:15,200 Okay. 63 00:02:15,200 --> 00:02:16,520 What about software defined? 64 00:02:16,520 --> 00:02:19,720 Ah, what kind of flexibility does that offer? 65 00:02:19,720 --> 00:02:20,240 Freedom. 66 00:02:20,240 --> 00:02:21,000 Freedom. 67 00:02:21,000 --> 00:02:21,200 Yeah. 68 00:02:21,200 --> 00:02:22,920 Freedom from proprietary hardware. 69 00:02:22,920 --> 00:02:23,520 Okay. 70 00:02:23,520 --> 00:02:25,560 AI store can run on pretty much anything. 71 00:02:25,560 --> 00:02:26,080 Really? 72 00:02:26,080 --> 00:02:26,600 Like what? 73 00:02:27,080 --> 00:02:33,000 Standard servers, cloud instances, even those new fancy AI chips. 74 00:02:33,000 --> 00:02:34,400 Oh, interesting. 75 00:02:34,400 --> 00:02:35,800 So it gives you choices. 76 00:02:35,800 --> 00:02:36,200 Right. 77 00:02:36,200 --> 00:02:37,920 And it can save you a ton of money. 78 00:02:37,920 --> 00:02:38,440 Yeah. 79 00:02:38,440 --> 00:02:40,320 Compared to those locked in hardware solutions. 80 00:02:40,320 --> 00:02:41,240 Exactly. 81 00:02:41,240 --> 00:02:41,520 Okay. 82 00:02:41,520 --> 00:02:45,800 I'm seeing the appeal there, especially for organizations with a tight budget. 83 00:02:45,800 --> 00:02:46,760 Oh, for sure. 84 00:02:46,760 --> 00:02:54,720 Now, speaking of budget, Minio claims AI store can slash costs by 60% compared to 85 00:02:54,720 --> 00:02:55,600 cloud storage. 86 00:02:56,080 --> 00:02:57,400 That's a big claim. 87 00:02:57,400 --> 00:02:58,880 I'm always a little skeptical. 88 00:02:58,880 --> 00:02:59,720 I hear you. 89 00:02:59,720 --> 00:03:00,800 Is that realistic? 90 00:03:00,800 --> 00:03:02,080 Well, the cloud is convenient. 91 00:03:02,080 --> 00:03:03,200 Oh, absolutely. 92 00:03:03,200 --> 00:03:05,160 But those costs can get out of control. 93 00:03:05,160 --> 00:03:05,600 Yeah. 94 00:03:05,600 --> 00:03:07,400 Especially for AI workloads. 95 00:03:07,400 --> 00:03:08,040 Definitely. 96 00:03:08,040 --> 00:03:11,880 So what would those savings look like in real world terms? 97 00:03:11,880 --> 00:03:14,680 Let's say you're managing a petabyte of data. 98 00:03:14,680 --> 00:03:15,160 Okay. 99 00:03:15,160 --> 00:03:17,320 Which is not unusual in AI these days. 100 00:03:17,320 --> 00:03:17,800 Right. 101 00:03:17,800 --> 00:03:22,160 With cloud storage, you could be paying tens of thousands per month. 102 00:03:22,160 --> 00:03:23,040 Seriously? 103 00:03:23,040 --> 00:03:23,680 Easy. 104 00:03:23,680 --> 00:03:24,040 Wow. 105 00:03:24,040 --> 00:03:28,680 AI store running on your own infrastructure could bring that down to a fraction of 106 00:03:28,680 --> 00:03:28,800 the 107 00:03:28,800 --> 00:03:29,200 cost. 108 00:03:29,200 --> 00:03:29,440 Okay. 109 00:03:29,440 --> 00:03:30,040 Now we're talking. 110 00:03:30,040 --> 00:03:32,200 Intentionally saving millions over time. 111 00:03:32,200 --> 00:03:32,760 Millions. 112 00:03:32,760 --> 00:03:33,000 Yeah. 113 00:03:33,000 --> 00:03:33,360 Okay. 114 00:03:33,360 --> 00:03:34,720 I see why people are paying attention. 115 00:03:34,720 --> 00:03:35,880 It's a game changer. 116 00:03:35,880 --> 00:03:36,640 Absolutely. 117 00:03:36,640 --> 00:03:40,520 Especially since Minio says users can manage all that data. 118 00:03:40,520 --> 00:03:40,920 Right. 119 00:03:40,920 --> 00:03:42,840 With surprisingly small teams. 120 00:03:42,840 --> 00:03:43,160 Yeah. 121 00:03:43,160 --> 00:03:44,720 They've really streamlined things. 122 00:03:44,720 --> 00:03:47,000 How do they achieve that level of efficiency? 123 00:03:47,000 --> 00:03:51,080 They've focused on making AI store easy to manage. 124 00:03:51,080 --> 00:03:51,480 Okay. 125 00:03:51,680 --> 00:03:54,280 A lot of the complexities of large scale storage. 126 00:03:54,280 --> 00:03:54,720 I bet. 127 00:03:54,720 --> 00:03:55,680 Have been simplified. 128 00:03:55,680 --> 00:03:57,400 So even the small team can handle it. 129 00:03:57,400 --> 00:03:57,840 Yeah. 130 00:03:57,840 --> 00:03:59,760 What used to require a whole department. 131 00:03:59,760 --> 00:04:00,320 Wow. 132 00:04:00,320 --> 00:04:01,440 It's lean and mean. 133 00:04:01,440 --> 00:04:03,240 All right. 134 00:04:03,240 --> 00:04:04,200 Now let's talk speed. 135 00:04:04,200 --> 00:04:08,280 Minio calls AI store the world's fastest object store. 136 00:04:08,280 --> 00:04:09,600 Of course they do. 137 00:04:09,600 --> 00:04:11,120 Marketing loves superlatives. 138 00:04:11,120 --> 00:04:12,400 Always. 139 00:04:12,400 --> 00:04:15,640 But in AI, where every second counts. 140 00:04:15,640 --> 00:04:16,200 Yeah. 141 00:04:16,200 --> 00:04:18,360 How much does storage speed really matter? 142 00:04:18,360 --> 00:04:19,880 Speed is critical. 143 00:04:19,880 --> 00:04:20,200 Okay. 144 00:04:20,200 --> 00:04:23,480 Especially when training AI models. 145 00:04:23,480 --> 00:04:23,880 Right. 146 00:04:23,880 --> 00:04:25,040 Think of it like this. 147 00:04:25,040 --> 00:04:29,960 Your model is learning by processing tons of data. 148 00:04:29,960 --> 00:04:30,200 Yeah. 149 00:04:30,200 --> 00:04:32,520 The faster it accesses that data. 150 00:04:32,520 --> 00:04:32,840 Okay. 151 00:04:32,840 --> 00:04:34,000 The faster it learns. 152 00:04:34,000 --> 00:04:34,440 Makes sense. 153 00:04:34,440 --> 00:04:35,440 And delivers results. 154 00:04:35,440 --> 00:04:36,720 So AI store helps with that. 155 00:04:36,720 --> 00:04:39,880 AI store minimizes the data bottleneck. 156 00:04:39,880 --> 00:04:42,800 So it's like giving my models a caffeine boost. 157 00:04:42,800 --> 00:04:43,760 Exactly. 158 00:04:43,760 --> 00:04:46,320 They can learn and evolve much quicker. 159 00:04:46,320 --> 00:04:48,560 And they back up these speed claims with benchmarks. 160 00:04:48,600 --> 00:04:50,840 Oh, yeah, they've run extensive tests. 161 00:04:50,840 --> 00:04:51,200 Okay. 162 00:04:51,200 --> 00:04:52,440 The results are impressive. 163 00:04:52,440 --> 00:04:54,080 Especially for AI demands. 164 00:04:54,080 --> 00:04:57,120 Particularly for the high throughput demands of AI. 165 00:04:57,120 --> 00:04:57,960 Take your word for it. 166 00:04:57,960 --> 00:04:58,640 You should. 167 00:04:58,640 --> 00:04:59,680 It's pretty impressive. 168 00:04:59,680 --> 00:05:01,920 But all this talk about performance and efficiency. 169 00:05:01,920 --> 00:05:05,400 Are we sacrificing anything in terms of security? 170 00:05:05,400 --> 00:05:06,280 That's a good question. 171 00:05:06,280 --> 00:05:10,040 We're dealing with increasingly sensitive data in AI. 172 00:05:10,040 --> 00:05:10,760 For sure. 173 00:05:10,760 --> 00:05:12,920 So how does AI sort address that? 174 00:05:12,920 --> 00:05:14,680 Security is paramount. 175 00:05:14,680 --> 00:05:18,440 They know that AI store has multiple layers of protection. 176 00:05:18,840 --> 00:05:19,280 Like what? 177 00:05:19,280 --> 00:05:21,280 Starting with robust encryption. 178 00:05:21,280 --> 00:05:21,680 Okay. 179 00:05:21,680 --> 00:05:22,720 And they're smart about it. 180 00:05:22,720 --> 00:05:23,600 How so? 181 00:05:23,600 --> 00:05:27,360 They use algorithms that minimize the performance impact. 182 00:05:27,360 --> 00:05:29,920 So you get security without sacrificing speed. 183 00:05:29,920 --> 00:05:30,680 Exactly. 184 00:05:30,680 --> 00:05:31,520 A win-win. 185 00:05:31,520 --> 00:05:33,640 Slow encryption has always been a concern. 186 00:05:33,640 --> 00:05:34,440 It has. 187 00:05:34,440 --> 00:05:36,880 So they've made it secure A and D fast. 188 00:05:36,880 --> 00:05:37,360 Yes. 189 00:05:37,360 --> 00:05:38,120 Impressive. 190 00:05:38,120 --> 00:05:38,480 Right. 191 00:05:38,480 --> 00:05:40,280 What else is in their security toolkit? 192 00:05:40,280 --> 00:05:43,840 Well, they include their own key management server. 193 00:05:43,840 --> 00:05:44,280 Okay. 194 00:05:44,280 --> 00:05:45,880 Or KMS for short. 195 00:05:46,320 --> 00:05:49,440 It gives you complete control over those encryption keys. 196 00:05:49,440 --> 00:05:50,120 Oh, that's good. 197 00:05:50,120 --> 00:05:56,600 Plus there's a built-in S3 aware firewall to prevent unauthorized access. 198 00:05:56,600 --> 00:05:57,720 Sounds pretty secure. 199 00:05:57,720 --> 00:06:00,040 They're serious about keeping your data safe. 200 00:06:00,040 --> 00:06:01,640 It sounds like a fortress for my data. 201 00:06:01,640 --> 00:06:02,600 It really does. 202 00:06:02,600 --> 00:06:04,120 Which is reassuring these days. 203 00:06:04,120 --> 00:06:04,400 Yeah. 204 00:06:04,400 --> 00:06:06,120 With all the cybersecurity concerns. 205 00:06:06,120 --> 00:06:06,640 Exactly. 206 00:06:06,640 --> 00:06:09,800 But AI store isn't just about storing data, right? 207 00:06:09,800 --> 00:06:10,240 Right. 208 00:06:10,240 --> 00:06:15,040 They also mentioned features like replication, versioning, lifecycle management. 209 00:06:15,080 --> 00:06:16,400 Yes, it's a whole package. 210 00:06:16,400 --> 00:06:19,400 Why are these so important for AI specifically? 211 00:06:19,400 --> 00:06:24,680 Well, these features ensure your data is always available, protected and used 212 00:06:24,680 --> 00:06:28,880 efficiently, which is critical for any data intensive field. 213 00:06:28,880 --> 00:06:29,720 Especially AI. 214 00:06:29,720 --> 00:06:30,920 Especially AI. 215 00:06:30,920 --> 00:06:35,280 Imagine you're training a crucial model and a server fails. 216 00:06:35,280 --> 00:06:35,840 Oh no. 217 00:06:35,840 --> 00:06:37,120 Replication kicks in. 218 00:06:37,120 --> 00:06:39,240 It automatically copies your data. 219 00:06:39,240 --> 00:06:40,960 So my project doesn't skip a beat. 220 00:06:40,960 --> 00:06:42,200 Exactly. 221 00:06:42,200 --> 00:06:42,760 That's amazing. 222 00:06:42,960 --> 00:06:46,920 Or maybe you're experimenting with your model and you need to go back 223 00:06:46,920 --> 00:06:48,200 to a previous dataset. 224 00:06:48,200 --> 00:06:49,040 Oh, interesting. 225 00:06:49,040 --> 00:06:51,560 Versioning lets you track every change. 226 00:06:51,560 --> 00:06:52,800 So you can compare and revoke. 227 00:06:52,800 --> 00:06:53,480 Precisely. 228 00:06:53,480 --> 00:06:55,160 That's like a time machine for my experiments. 229 00:06:55,160 --> 00:06:55,920 Exactly. 230 00:06:55,920 --> 00:06:58,160 And life cycle management is all about automation. 231 00:06:58,160 --> 00:06:58,800 How so? 232 00:06:58,800 --> 00:07:03,840 AI store moves data between storage tiers based on how often it's needed. 233 00:07:03,840 --> 00:07:07,080 So frequently used data stays easily accessible. 234 00:07:07,080 --> 00:07:07,520 Yes. 235 00:07:07,520 --> 00:07:08,320 On the fast track. 236 00:07:08,320 --> 00:07:09,480 And less used data. 237 00:07:09,480 --> 00:07:11,120 Goes to a more cost effective tier. 238 00:07:11,240 --> 00:07:13,480 So it's optimizing performance and costs. 239 00:07:13,480 --> 00:07:13,920 You got it. 240 00:07:13,920 --> 00:07:15,640 Without having to micromanage everything. 241 00:07:15,640 --> 00:07:16,240 Exactly. 242 00:07:16,240 --> 00:07:17,200 It takes care of itself. 243 00:07:17,200 --> 00:07:20,280 Now you mentioned AI store is object native. 244 00:07:20,280 --> 00:07:20,840 Yeah. 245 00:07:20,840 --> 00:07:22,000 That's a key point. 246 00:07:22,000 --> 00:07:22,760 It keeps coming up. 247 00:07:22,760 --> 00:07:23,840 So it must be important. 248 00:07:23,840 --> 00:07:24,440 It is. 249 00:07:24,440 --> 00:07:27,320 Can you explain what that means for someone in AI development? 250 00:07:27,320 --> 00:07:32,640 So it means AI store is built from the ground up for object storage. 251 00:07:32,640 --> 00:07:34,320 It's not an afterthought. 252 00:07:34,320 --> 00:07:34,640 Okay. 253 00:07:34,640 --> 00:07:40,280 It's like speaking the same language as all those other AI tools and frameworks. 254 00:07:40,280 --> 00:07:41,960 So smoother integration. 255 00:07:41,960 --> 00:07:42,400 Yes. 256 00:07:42,400 --> 00:07:44,000 Easier data pipelines. 257 00:07:44,000 --> 00:07:44,400 Okay. 258 00:07:44,400 --> 00:07:45,920 Potentially faster model training. 259 00:07:45,920 --> 00:07:48,680 So it fits right into the AI workflow. 260 00:07:48,680 --> 00:07:49,400 It does. 261 00:07:49,400 --> 00:07:50,680 Another thing that caught my eye. 262 00:07:50,680 --> 00:07:51,400 What's that? 263 00:07:51,400 --> 00:07:54,640 Is all the companies AI store integrates with? 264 00:07:54,640 --> 00:07:54,840 Yeah. 265 00:07:54,840 --> 00:07:56,120 They've got a lot of partnerships. 266 00:07:56,120 --> 00:07:58,440 Any scale zillies. 267 00:07:58,440 --> 00:08:00,520 Not small players. 268 00:08:00,520 --> 00:08:04,360 What does this tell us about Minio's place in the AI world? 269 00:08:04,360 --> 00:08:06,040 It means they're serious. 270 00:08:06,040 --> 00:08:06,480 Okay. 271 00:08:06,480 --> 00:08:07,680 They're not playing around. 272 00:08:07,680 --> 00:08:09,680 They're building a strong ecosystem. 273 00:08:10,040 --> 00:08:12,240 Collaborating with key players. 274 00:08:12,240 --> 00:08:13,760 So it's more than just storage. 275 00:08:13,760 --> 00:08:14,280 Yeah. 276 00:08:14,280 --> 00:08:16,480 They're becoming part of the AI infrastructure. 277 00:08:16,480 --> 00:08:20,760 But what do these integrations mean for someone using AI store? 278 00:08:20,760 --> 00:08:22,320 Real world benefits. 279 00:08:22,320 --> 00:08:23,320 Give me an example. 280 00:08:23,320 --> 00:08:25,320 Take their integration with any scale. 281 00:08:25,320 --> 00:08:26,080 Okay. 282 00:08:26,080 --> 00:08:31,880 They specialize in distributed computing for AI, which can be tough to set up. 283 00:08:31,880 --> 00:08:32,320 I bet. 284 00:08:32,320 --> 00:08:37,280 But with AI store, you can seamlessly scale your AI workloads. 285 00:08:37,280 --> 00:08:39,120 Across a whole cluster of servers. 286 00:08:39,120 --> 00:08:39,960 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.