Accelerate your most demanding HPC and hyperscale data center workloads with NVIDIA® Data Center 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 todeep learning. NVIDIA’s accelerators also deliver the horsepower needed to run bigger simulations faster than ever before. Plus, NVIDIA GPUs deliver the highest performance and user density forvirtual desktops, applications, and workstations.
View the Complete List of NVIDIA Data Center Gpu Certified Servers.
NVIDIA partners offer a wide array of cutting-edge servers capable of diverse AI, HPC, and accelerated computing workloads. To promote the optimal server for each workload, NVIDIA has introduced GPU-accelerated server platforms, which recommends ideal classes of servers for various Training (HGX-T), Inference (HGX-I), and Supercomputing (SCX) applications.
Platforms align the entire data center server ecosystem and ensure that, when a customer selects a specific server platform that matches their accelerated computing application, they’ll achieve the industry’s best performance.

Training increasingly complexmodels faster is key to improving productivity for data scientists and delivering AI services more quickly. Servers powered by NVIDIA® GPUs use the performance of accelerated computing to cut deep learning training time from months to hours or minutes.
Inference is where a trained neural network really goes to work. As new data points come in such as images, speech, visual and video search, inference is what gives the answers and recommendations at the heart of many AI services. A server with a single GPU can deliver 27X higher inference throughput than a single-socket CPU-only server resulting in dramatic cost savings.
The World's Fastest GPU Accelerators for HPC and
Deep Learning.
Find an NVIDIA Accelerated Computing Partner through our NVIDIA Partner Network (NPN).