Hi, we're going to show you two pipelines that are for financial services. I'm here with Moyes. One is a pipeline for news analytics that gets Liv's new feeds and the other is for financial risk simulations that financial services companies can run.What we've developed is an entire AI workflow. This AI workflow is not only for financial services firms. It applies to any AI workflow whether it's for life sciences, automotive, manufacturing.All AI workflows depend on some type of data being ingested. In our c ...

[MUSIC] Hi, I'm Moiz Kohari with DDN, and we're going to show you a AI workflow that applies to all industries, financial services, life sciences, and others. At the end of the day, you're bringing in data from multiple data sources. In our case, we're bringing in direct market feed from Polygon. This market feed is going over Kafka queues and being persisted into DDN's Infinia S3 product. Once that has been persisted, we leverage NVIDIA's NIM Microservices to curate that data. And once that data has be ...

65% of tech leaders say their infrastructure is already too complex — and it’s slowing them down. But the same report shows a clear way forward. As organizations move from pilots to production, they’re realizing that traditional systems weren’t built for this moment — where scaling AI means navigating new energy demands, faster iteration cycles, and a growing skills gap. The 2026 State of AI Infrastructure Report, based on insights from 600 global technology leaders, highlights the turning point: complexity ...

[MUSIC] Hi, I'm Stephanie Giard from DDN. I'm Izhar Sharon. We spend a lot of time with enterprises building AI in hybrid environments. Today, we want to share what's actually working, and the questions you should be asking before you scale. If you're running AI workloads, you're probably already hybrid, whether you planned it or not. Clouds give you the elastic flexibility, burst capacity, access to the latest GPUs. But you also have data that can't leave your data center, compliance requirements, IP y ...

[MUSIC PLAYING] Hi, I'm Nasir Wasim from DDN. Today, I'm going to talk about one of the most common problems you might recognize. Your GPUs are sitting idle, waiting for data. We're going to talk about fast object, the high performance object capability in DDN Infinia, designed specifically to eliminate the storage bottlenecks in AI pipeline to keep the GPUs busy. Fast object equals to Infinia. So let's start with what's actually happening in your infrastructure right now. So your organization invested ...

[MUSIC] Hello, I'm Jason from DDN. Today, I want to take you inside the AI Factory and show you how DDN powers full cycle AI workflows from the moment data arrives all the way through training, tuning, and inference. When people talk about AI, they often think only about model training. But an AI Factory is a pipeline with many unique stages, with ingest, data preparation, model training, fine-tuning, and then inference and RAG. As data moves through these stages, the volume increases, the access pattern ...

[music] [music] It's crazy how people are not thinking about what they need for data handling, data preparation, right. It's amazing. I'm here at this HPC show and I'm thinking like everybody has the right hardware, but who has the right data.Where's the quality of data. Any thoughts. I mean for me the AI data platform and like the hyperpod DDN solution you get this full you know fully integrated solution and like if you have your data you have to make sure that it's ready for your downstream AI application ...

Hi, good afternoon. My name is Yael Yanit and I'm from Nvidia and I'm a senior director of marketing responsible for networking in Nvidia. And today my talk covers the Bluefield for DPU which we just announced at GTCDC.But before before I get to blue field itself, I would like to give you a few minutes and talk about our view of networking in general in Nvidia. So as you know the GPUs are so strong and have so much compute power but GPUs alone by themselves is not enough. You must connect multiple GPUs toge ...

How do we take what a nation is already good at whether that's making cars whether that's building energy systems whatever it is and really put that on steroids like just turbocharge that with AI both those things come into play and then what's in common in terms of solutions that DDM provide is security the ability to deploy fast at large scale within different nations that means global support global management global integration with our NVIDIA partners and And finally, secure data sharing. ...

Hi everyone, my name is Daniel Blosski. I'm a product manager uh working at Nvidia in the enterprise product group. My focus is really on Nvidia AI data platform which I'm going to talk about today, but also on NVIDIA AI blueprints and I'm very proud to be here today talking about our partnership with VDN on the VDN hyperpod and avid data platform. And today I'm going to talk about the how you can unlock business value from your data with Nvidia AI data platform.Nvidia hyperpart. I'm going to start with AI ...