NVIDIA Tesla P100 16GB Specifications for AI Enthusiasts
The NVIDIA Tesla P100 was announced in 2016 as the first of their Pascal architecture powered Tesla cards. The Tesla P100 came in PCIe and SXM versions and was the first GPU accelerator to use High Bandwidth Memory 2 (HBM2). It did not have Tensor Cores, so it isn't usually preferred for machine learning. However, it's FP32 and FP16 FLOPs are still quite good.
- GPU Architecture: pascal
- Hardware-Accelerated GEMM Operations:FP16 FP32 BF16 FP8 INT8 INT4 TF32 FP64 INT1
- CUDA Compute Capability : 6
Specifications for NVIDIA Tesla P100
| Raw Performance | |
|---|---|
| Tensor Core Count: | |
| FP32 TFLOPs: 10.6 | |
| FP16 TFLOPs: 21.2 | |
| Int8 TOPs: | |
| Memory Capacity (GB): 16 | |
| Memory Bandwidth (GB/s): 732 |
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