NVIDIA Tesla V100 16GB Specifications for AI Enthusiasts
The NVIDIA Tesla V100 16GB version, introduced with NVIDIA's Volta architecture, is a high-end data center GPU. It was the first GPU to feature NVIDIA's Tensor Cores for deep learning and machine learning applications. It's renowned for its AI and high-performance computing capabilities, significantly advancing the field with its impressive tensor core count and large memory capacity. The 16GB version has part number 900-2G500-0000-000 or 699-2G500-0200-XXX. The PNY part number for this card was TCSV100MPCIE-PB and ASIN B076P84525.
- GPU Architecture: volta
- Hardware-Accelerated GEMM Operations:FP16 FP32 BF16 FP8 INT8 INT4 TF32 FP64 INT1
- CUDA Compute Capability : 7
Specifications for NVIDIA Tesla V100
| Raw Performance | |
|---|---|
| FP32 TFLOPs: 14 | |
| FP16 TFLOPs: 28 | |
| Tensor Core Count: 640 | |
| Memory Capacity (GB): 16 | |
| Memory Bandwidth (GB/s): 900 | |
| Int8 TOPs: 56 |
Real-time NVIDIA Tesla V100 GPU Prices
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- https://developer.nvidia.com/blog/inside-volta/
- https://www.nvidia.com/en-us/data-center/v100/
- https://images.nvidia.com/content/tesla/pdf/Tesla-V100-PCIe-Product-Brief.pdf
- https://resources.nvidia.com/en-us-virtualization-and-gpus/v100-datasheet
- https://www.tomshardware.com/news/nvidia-tesla-v100-volta-gpu,34379.html
- https://www.microway.com/knowledge-center-articles/in-depth-comparison-of-nvidia-tesla-volta-gpu-accelerators/
- https://www.nvidia.com/en-us/data-center/tensor-cores/