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The NVIDIA A100 Tensor Core GPU delivers unprecedented acceleration at every scale for AI, data analytics, and HPC to tackle the world’s toughest computing challenges. As the engine of the NVIDIA data center platform, A100 can be partitioned into 7 isolated GPU instances to accelerate workloads of all sizes.

NVIDIA A30 Tensor Core GPU is the most versatile mainstream compute GPU for AI inference and mainstream enterprise workloads. Powered by NVIDIA Ampere architecture Tensor Core technology, it supports a broad range of math precisions, providing a single accelerator to speed up every workload.

Multi-Instance GPU (MIG) and FP64 Tensor Cores combine with fast 933GB/s of memory bandwidth in a low 165W power envelope, all running on a PCIe card optimal for mainstream servers.

NVIDIA A40 supports the latest hardware-accelerated ray tracing, revolutionary AI features, advanced shading, and powerful simulation capabilities for a wide range of graphics and compute use cases in data center and edge server deployments, including batch rendering, virtual workstations, and deep learning training as well as inference workloads.

Built on the latest NVIDIA Ampere architecture, the A10 combines second- generation RT Cores, third-generation Tensor Cores, and new streaming microprocessors with 24GB of GDDR6 memory for versatile graphics, rendering, AI, and compute performance. From virtual workstations to data center, A10 is built to deliver optimal performance in a single-wide, full-height, full-length PCIe form factor.

Take remote work to the next level with NVIDIA A16. Combined with NVIDIA vPC or NVIDIA vWS software, it enables virtual desktops and workstations to tackle any project from anywhere.

Purpose-built for high-density, graphics-rich virtual desktop infrastructure (VDI) and leveraging the NVIDIA Ampere architecture, A16 provides double the user density versus the previous generation, while ensuring the best possible user experience.