NVIDIA

Accelerating AI Innovation for Datacentric Enterprises and HPC Workloads at Any Scale

NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Their work in AI and digital twins is transforming the world’s largest industries and profoundly impacting society..

By consolidating the power of an entire data center into a single platform, NVIDIA has revolutionized how complex machine learning workflows and AI models are developed and deployed in an enterprise. This computing marvel also led to the creation of Selene, one of the world’s fastest computers in total performance, and commercially available system – the first of its kind, NVIDIA DGX SuperPOD™ Solution. NVIDIA seeks to reduce the complexity of increasingly diverse AI models, including conversational AI, recommender systems, computer vision workloads and autonomous vehicles.

Challenges

To reduce the time-to-solution challenge, NVIDIA needs to be able to distribute large computational problems across hundreds of systems operating in parallel using an integrated set of compute, network and storage building blocks.

This approach requires extremely fast storage performance to support intensive processing demands. High degrees of parallel access to small and large files are critical, along with seamless horizontal scaling to ensure incremental expansion.

Solution

More than 300 all-flash and hybrid storage appliances

Seamless deployment and optimization for on-premises and in the cloud

Simple appliance model with powerful 2U building block

Benefits

Simple linear scaling of performance, optimized for AI/ML workloads
Easy access to DDN technical team for expedited collaboration
A globally connected team allows for faster development times

The real differentiator is DDN. I never hesitate to recommend DDN. DDN is the de facto name for AI Storage in high performance environments.
Marc HamiltonVP, Solutions Architecture & Engineering NVIDIA