NVIDIA A2
- NVIDIA Ampere GPU architecture
- Compute + graphics GPU
- 1280 NVIDIA CUDA Cores
- 40 NVIDIA Tensor Cores
- 16GB memory
- Up to 200GB/s memory bandwidth
- Max. power consumption: 40-60W
- Graphics bus: PCIe 4.0 x16
- Thermal solution: Passive
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NVIDIA A2
Description
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.
Technical Specification
| Peak FP32 | 4.5 TF |
|---|---|
| TF32 Tensor Core | 9 TF | 18 TF¹ |
| BFLOAT16 Tensor Core | 18 TF | 36 TF¹ |
| Peak FP16 Tensor Core | 18 TF | 36 TF¹ |
| Peak INT8 Tensor Core | 36 TOPS | 72 TOPS¹ |
| Peak INT4 Tensor Core | 72 TOPS | 144 TOPS¹ |
| RT Cores | 10 |
| Media Engines | 1 video encoder, 2 video decoders (includes AV1 decode) |
| GPU Memory | 16 GB GDDR6 |
| GPU Memory Bandwidth | 200 GB/s |
| Interconnect | PCIe Gen4 x8 |
| Form Factor | 1-slot, low-profile PCIe |
| Max Thermal Design Power (TDP) | 40–60 W (configurable) |
| 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) |
¹ With sparsity
² Supported in future vGPU release
