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NVIDIA GPU-Accelerated Server Platforms

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.

Accelerating Data Center Workloads
With NVIDIA Data Center Platform

Accelerate Data Center Workloads with the NVIDIA Tesla Platform

Training

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

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.

Take a Free Test Drive

The World's Fastest GPU Accelerators for HPC and
Deep Learning.

Where to Buy

Find an NVIDIA Accelerated Computing Partner through our NVIDIA Partner Network (NPN).

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