The NVIDIA A10 Tensor Core GPU provides designers, engineers, artists and scientists with the effectiveness they need to overcome today’s challenges. Small, single-slot 150W GPUs, combined with NVIDIA Virtualized GPU (vGPU) software, accelerate multiple data center workloads in an infrastructure that is easy to manage, secure and resilient to adapt to a variety of needs, ranging from graphically rich virtual desktop infrastructure (VDI) to artificial intelligence.
Specifications
| Feature | Details |
| FP32 | 31.2TF |
| TF32 Tensor Core | 62.5TF | 125 TF |
| BFLOAT16 Tensor Core | 125TF | 250TF |
| FP16 Tensor Core | 125TF | 250 TF |
| INT8 Tensor Core | 250 TOPS | 500 TOPS |
| INT4 Tensor Core | 500 TOPS | 1000TOPS |
| RT Cores | 72 |
| Encode/Decode | 1 encoder, 2 decoders (+AV1 decode) |
| GPU Memory | 24 GB GDDR6 |
System & Connectivity
| Feature | Details |
| GPU Memory Bandwidth | 600 GB/s |
| Interconnect | PCIe Gen4: 64 GB/s |
| Form Factor | 1-slot FHFL |
| Max TDP Power | 150W |
| Secure and Measured Boot with Hardware Root of Trust | Yes (optional) |
| NEBS Ready | Level 3 |
| Power Connector | PEX 8-pin |
| vGPU Software Support | NVIDIA vPC/vApps, NVIDIA RTX? vWS, NVIDIA AI Enterprise |
