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 ...

Company Overview - Nscale is a vertically integrated AI stack provider, offering end-to-end solutions from infrastructure to cloud [1] - The company customizes data centers for customers, optimizing for specific workloads, similar to a hyperscaler approach for private clouds [2][3] - Nscale is building the largest supercomputer cluster with Microsoft in Europe, comprising approximately 23,000 nodes [4] Technology and Services - Nscale supports diverse AI workloads including model training, fine-tuning, and inference, accommodating various parameters [5] - The company embraces Kubernetes and SLURM for orchestration, providing managed services and bare metal as a service [9][10] - Nscale offers an open AI API compatible interface, enabling scaling and deployment of open source or proprietary models, along with fine-tuning services [12] - The platform supports both Nvidia and AMD GPUs, catering to different customer requirements [13] Future Directions - Nscale aims to provide a global fleet management solution, integrating on-premise and public/private cloud solutions for a consistent customer experience [14] - The company plans to further diversify its AI services, focusing on open source systems and enterprise features like fine-grained access controls [15] - Nscale supports the open-source community through Hugging Face, acting as an inference provider [16]

the founding uh quote from Danny Thomas, if you're familiar with Danny Thomas in the 60s was no child should die in the dawn of life. That I think is a mission we can all get behind. It's a it's a statement we can all agree with.And so it's a really amazing organization and as a children's research hospital, we don't really do product endorsements, but we do have a very close collaboration with DDN. They are they are provider of a lot of our equipment. We work with them closely to make sure we're getting th ...

uh but there's a uh you know massive amount of uh proof of concept massive amount of gathering of use cases right uh I was talking to a fortune 500 and they've gathered literally over a thousand use cases but really the challenge is to will those through these thousand use cases extract which ones are the most important and implement them right so uh so the the we have to make it simpler for enterprise to adopt AI. ...

Welcome. Today I'll be showing how the Exosscaler data intelligence platform supports multi-tenency. Exoscaler has always had strong capabilities with regard to the networking it supports and exoscaler multi-tenency takes advantage of this by using VLANs along with X's ability to divide its data space up into secure partitions.We now have the ability to create a secure multi-tenant environment. For additional security, we've also implemented client access controls to prevent unauthorized access to a tenants ...

Product Overview - Google Cloud Manage Luster is a persistent storage offering powered by DDN Xcaler [1] - The product launched four and a half months ago and has good customer traction [1] - It is fully integrated with Google Cloud, including Google Cloud Storage (GCS) and Google Kubernetes Engine (GKE) [2] - The product is compliant and has a 999% SLA [2] Performance and Scalability - The product runs up to 1 terabyte per second of throughput with sub-millisecond latency and millions of IOPS [3] - It scales from 9 terabytes to 8 petabytes [3] Technology - The company partnered with EDM for a mature and reliable product with a rich feature set, choosing Exosscaler as the foundation [1]

St Jude's Mission and Goals - St Jude's mission is to advance cures and means of prevention for pediatric catastrophic diseases [3] - St Jude aims to save lives and improve the lives of children globally, focusing on areas with lower survival rates [6] - St Jude is in the business of knowledge discovery through research [5] Data Growth and Infrastructure - St Jude's storage utilization has doubled in the past four years, reaching 100 petabytes [13][14] - Bio image data is the fastest growing data source, increasing from 12% to 28% of research storage in the last four years [15] - The institution has expanded from three storage systems to eight to address different regulations and improve resilience [17] - A second data center with a live, asynchronously replicated copy of almost all data has been added for disaster recovery and business continuity [17][18] Future Focus Areas - St Jude anticipates doubling its data utilization again in the next four years and is exploring improved tiering strategies [20][21] - The institution is focused on improved sharing and collaboration tools for its global initiative [21][22] - St Jude is exploring the integration of quantum computing with its current systems [23] - The organization is addressing the challenges of balancing data accessibility for artificial intelligence with cost-effective tiering techniques [24][25]

Science at full speed, from single GPU to full data center scale 🦾 Ken Hester, NVIDIA Solution Architects Director, shares how NVIDIA’s full-stack approach, spanning hardware and a deep software stack, powers reference architectures that scale. With MagnumIO and RDMA creating a direct GPU-to-data path, NVIDIA and DDN align tightly to cut overhead and accelerate real research outcomes. Watch to learn how this NVIDIA and DDN collaboration boosts AI Infrastructure performance and take away best practices you c ...

I don't think you can do AI unless you have flexibility on prem in the cloud and cloud the consumption and the utilization needs to be flexible. I have to be able to today. So you know DDN we're offering exa through Google. We have a onep offering with Google.Well if a customer wants to consume and it makes sense for them to consume on Google. If they want to consume through core wave so be it. If they want to do it on prem so be it.So the flexibility I think is very very important. uh and unlike the migrat ...