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How Metadata Powers Real-Time AI Insights | Jyothi Swaroop, DDN CMO at Future of Memory and Storage
DDNยท 2025-08-11 23:45
Essentially what you're trying to do is you're trying to convert data into information. AI struggle sometimes is it has to read a large swath of multimodel data at all times and convert that to information which could be a small little nugget that you actually need. You don't need to move large swats of data every time you need to do something.We're just going to focus on the metadata layer and that gives you context and converts data into information in real time. Right. So as soon as the data comes in, ho ...
Alex Bouzari Explains Why Multimodal Metadata Tagging is Essential for Enterprise AI | DDN Infinia
DDNยท 2025-08-08 17:39
So multimodal I think is a necessity in order for enterprises to really benefit from AI. And so with multimodal metadata tagging and the ability to move the metadata part of it becomes essential. That's otherwise the economics simply don't work out.There isn't enough data center space in the world. There isn't enough power in the world to get it done like that. That's so the metadata attributes are very key.And when we started out with Infinia, that was one of the things we focused on. We said it has to be ...
Jensen Huang on DDN Infinia and the Future of AI Data Infrastructure
DDNยท 2025-08-07 22:54
the great work that we do together in this new product line that you have. The thing about Infinia is using accelerated computing and using artificial intelligence to uh learn from all of the the data that you have uh transform the raw data into data intelligence. Yeah.embedding the intelligence into the model, extracting uh from all of your data, the semantic of it, the intelligence of it, the information of it. Now, instead of serving raw data, you serve metadata, the knowledge, the the intelligence, the ...
๐—•๐—ฒ๐˜†๐—ผ๐—ป๐—ฑ ๐—”๐—ฟ๐˜๐—ถ๐—ณ๐—ถ๐—ฐ๐—ถ๐—ฎ๐—น โ€” Jensen Huang (NVIDIA) and Alex Bouzari (DDN)
DDNยท 2025-06-07 20:14
AI Infrastructure and Architecture - Infinia was conceived due to the need for a different architecture for AI, one that scales efficiently for training, has low latency, is distributed on-premise and multi-cloud, and minimizes data movement [1] - The industry is shifting towards Data Intelligence, reframing storage of raw data into informational form, which is a new opportunity for DDN to provide data intelligence for enterprises running AI [1] - Metadata and tagging are essential for multimodal AI, enabling the movement of metadata and making the economics viable due to the compression ratio [1] AI Application and Adoption - Enterprises need to adopt AI at an accelerated pace, requiring the application layer to be supercharged and the infrastructure to be efficient [1] - The industry is moving from high-performance computing to Enterprise, and then to digital twins of Enterprise, enabled by technologies like Omniverse [2] - AI is enabling companies to create digital twins, allowing them to run thousands of experiments simultaneously and optimize outcomes, applicable to enterprises, governments, and individuals [2] AI Model and Ecosystem - Post-training, which involves problem-solving and reasoning, is a crucial and compute-intensive part of intelligence, following pre-training [3] - The release of open-source reasoning models like DeepSeek's R1 is accelerating AI adoption by highlighting opportunities for more efficient models [3] - The CUDA ecosystem is enabling the application of AI in specific industries like Life Sciences, Financial Services, and autonomous driving [3] Strategic Partnership and Future Vision - The partnership between Nvidia and DDN is expanding from supercomputing to Enterprise and Omniverse, with Infinia playing a key role [4] - Companies should both use public cloud AI and build their own specialized AI, curating AI agents from various sources to solve large problems [3] - Differentiation for organizations comes from specialized application of AI, enabled by technologies like Nvidia's Nims and DDN's Infinia [4]
Introducing the Data Intelligence Platform: DDN Infinia 2.0
DDNยท 2025-05-15 19:49
uh I would like to talk about uh infinia uh most of you have probably seen we've done a pretty great announcement uh we delivered a product in version 20 lots of people ask why is it 2.0% well if it's already in production you shouldn't call it 1.0% at the time with G and so we gave it a 2.0% given that it's also a pretty significant large deployment we saw 2.0% is probably a a better number to start with so what is infinia uh infinia is our great software defined Next Generation data intelligence platform ...