Whether creating quality customer experiences, delivering better patient outcomes, or streamlining the supply chain, enterprises need infrastructure that can deliver AI-powered insights. NVIDIA DGX™ systems deliver the world’s leading solutions for enterprise AI infrastructure at scale.
Accelerate your most demanding HPC and hyperscale data center workloads with NVIDIA Tesla GPUs. Data scientists and researchers can now parse petabytes of data orders of magnitude faster than they could using traditional CPUs, in applications ranging from energy exploration to deep learning. Tesla accelerators also deliver the horsepower needed to run bigger simulations faster than ever before. Plus, Tesla delivers the highest performance and user density for virtual desktops, applications, and workstations.
Generally, the price is affordable, but the most recent update comes with a notable increase in cost.
Generally, the price is affordable, but the most recent update comes with a notable increase in cost.
The Intel Xeon Phi processor is a bootable host processor that delivers massive parallelism and vectorization to support the most demanding high-performance computing applications. The integrated and power-efficient architecture delivers significantly more compute per unit of energy consumed versus comparable platforms to give you an improved total cost of ownership.1 The integration of memory and fabric topples the memory wall and reduces cost to help you solve your biggest challenges faster.
Gaudi is a processor that handles machine learning training workloads, and has 32GB of memory built-in, a memory bandwidth of 1TB per second, and consumes up to 200W. The only AI processor with Integrated RDMA over Converged Ethernet to provide scalability and lower total cost of ownership. Gaudi is designed for versatile and efficient system scale out and scale up with integrated on-chip RoCE RDMA, enabling high-performance inter connectivity.
