NVIDIA A10 Tensor Core GPU

The NVIDIA A10 Tensor Core GPU is a powerful graphics processing unit designed for data centers and cloud computing. Key features include:
– Tensor Cores for accelerated AI and deep learning workloads
– High-performance graphics rendering for virtualized environments
– Multi-Instance GPU (MIG) for secure and isolated workloads
– 24 GB of GDDR6 memory for large model training and complex simulations
– Support for NVIDIA’s virtual GPU (vGPU) software for flexible deployment.

Benefits include accelerated AI, HPC, and graphics workloads, improved data center efficiency, and increased productivity. Unique selling points are its balanced performance for both compute and graphics workloads, and its compatibility with NVIDIA’s software stack for AI and HPC applications.

$Quote

Brand๏ผšnvidia
Products Status๏ผšNew
Application๏ผšWorkstation
ROPs๏ผš96
Interface๏ผšPCIe 4.0 x16
Brand

nvidia

Products Status

New

Application

Workstation

ROPs

96

Interface

PCIe 4.0 x16

Memory Size

24GB

Bus Width

256bit

Cores

288

Memory Type

GDDR6

Cache

6 MB

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