NVIDIA A2
The NVIDIA A2 is an entry-level data center GPU based on the Ampere architecture, featuring 16GB of GDDR6 memory. Its low-profile, single-slot, low-power design makes it ideal for entry-level AI inference, video transcoding, and virtual desktops, enabling easy large-scale deployment in standard servers.
Core Specifications
CompleteSpecifications
| architecture | Ampere |
| Shape | PCIe single-slot low-profile |
| TF32 Tensor Core | 18 TFLOPS* (sparse) |
| VRAM | 1 6GB GDDR6 |
| Memory Bandwidth | 200 GB/s |
| Power Consumption | 40W-60W |
| Location | Entry-level AI inference, video transcoding, and virtual desktops |
| FP32 | 4.5 TFLOPS |
| FP16 Tensor Core | 36 TFLOPS* (sparse) |
* Sparse mode specifications: Dense performance is half that of sparse specs. Specs sourced from NVIDIA's official product page; actual configuration subject to factory settings.
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The NVIDIA A2 is an entry-level data center GPU based on the Ampere architecture, featuring 16GB of GDDR6 memory. Its low-profile, single-slot, low-power design makes it ideal for entry-level AI inference, video transcoding, and virtual desktops, enabling easy large-scale deployment in standard servers.
| architecture | Ampere |
| Shape | PCIe single-slot low-profile |
| TF32 Tensor Core | 18 TFLOPS* (sparse) |
| VRAM | 1 6GB GDDR6 |
| Memory Bandwidth | 200 GB/s |
| Power Consumption | 40W-60W |
| Location | Entry-level AI inference, video transcoding, and virtual desktops |
| FP32 | 4.5 TFLOPS |
| FP16 Tensor Core | 36 TFLOPS* (sparse) |
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