NVIDIA Tesla V100 32GB Specifications for AI Enthusiasts
The NVIDIA Tesla V100, introduced with NVIDIA's Volta architecture, is a high-end data center GPU. The 32GB version has part numbers 900-2G500-0202-000, 699-2G500-0202-400, 699-2G500-0202-XXX and ASIN B07JVNHFFX. 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 PNY part number for this card is VCQGV100-PB.
- 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): 32 | |
Memory Bandwidth (GB/s): 900 | |
Int8 TOPs: 56 |
Real-time NVIDIA Tesla V100 GPU Prices
We're tracking 41 of the NVIDIA Tesla V100 GPUs currently available for sale. The lowest price is $999
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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/