TESLA A2
The NVIDIA A2 Tensor Core GPU provides entry-level inference with low power, a small footprint, and high performance for NVIDIA AI at the edge. Featuring a low-profile PCIe Gen4 card and a low 40-60W configurable thermal design power (TDP) capability, the A2 brings versatile inference acceleration to any server for deployment at scale.
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- DESCRIPTION
- SPECIFICATION
- BIOS / DRIVERS UPDATE
- REQUIREMENT
►Third-Generation Tensor Cores
►Root of Trust Security
►Second-Generation RT Cores
►Hardware Transcoding Performance
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Peak FP32 |
4.5 TF |
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TF32 Tensor Core |
9 TF | 18 TF¹ |
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BFLOAT16 Tensor Core |
18 TF | 36 TF¹ |
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Peak FP16 Tensor Core |
18 TF | 36 TF¹ |
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Peak INT8 Tensor Core |
36 TOPS | 72 TOPS¹ |
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Peak INT4 Tensor Core |
72 TOPS | 144 TOPS¹ |
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RT Cores |
10 |
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Media engines |
1 video encoder |
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GPU memory |
16GB GDDR6 |
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GPU memory bandwidth |
200GB/s |
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Interconnect |
PCIe Gen4 x8 |
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Form factor |
1-slot, low-profile PCIe |
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Max thermal design power (TDP) |
40–60W (configurable) |
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Virtual GPU (vGPU) software support² |
NVIDIA Virtual PC (vPC), NVIDIA Virtual Applications (vApps), NVIDIA RTX Virtual Workstation (vWS), NVIDIA AI Enterprise, NVIDIA Virtual Compute Server (vCS) |
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