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The NVIDIA V100-16G is a high-performance deep learning and AI training solution. Ideal for enterprise data centers, it offers scalable performance with efficient power consumption, making it a top choice for engineers and IT professionals.
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The NVIDIA V100-16G is a high-performance deep learning and AI training solution. Ideal for enterprise data centers, it offers scalable performance with efficient power consumption, making it a top choice for engineers and IT professionals.
Feature | NVIDIA V100-16G | NVIDIA A100-40G | NVIDIA P100-16G | NVIDIA Tesla K80 | AMD MI100 | Google TPU v3 | Intel NNP-T1000 |
---|---|---|---|---|---|---|---|
Memory | 16GB HBM2 | 40GB HBM2 | 16GB HBM2 | 24GB GDDR5 | 32GB HBM2 | Variable | 12GB |
Cores | 5120 CUDA | 6912 CUDA | 3584 CUDA | 4992 CUDA | 7680 Stream | Variable | Variable |
Power Consumption | 300W | 400W | 250W | 300W | 300W | High | Variable |
Peak Performance | 15 TFLOPS | 19.5 TFLOPS | 9.3 TFLOPS | 8.7 TFLOPS | 11.5 TFLOPS | 180 TFLOPS | Variable |
Form Factor | PCIe | PCIe | PCIe | PCIe | PCIe | Cloud | PCIe |
Model | Description |
---|---|
Nvidia NVLink Bridge | Increases bandwidth between GPUs |
Active Cooling Solution | Enhanced cooling for high workloads |
Nvidia Pascal GP100 | Additional powerful processing power |
Nvidia V100-16G Specifications | |
Model | NVIDIA V100-16G |
GPU Architecture | Volta |
Memory | 16 GB HBM2 |
Tensor Cores | 640 |
CUDA Cores | 5120 |
Memory Bandwidth | 900 GB/s |
Transistor Count | 21.1 Billion |
FP64 Performance | 7.8 TFLOPS |
FP32 Performance | 15.7 TFLOPS |
INT8 Performance | 125 TOPS |
Form Factor | PCI Express 3.0 |
Thermal Design Power (TDP) | 300 W |
ECC Support | Yes |
NVLink Bandwidth | 300 GB/s |
Maximum GPU Temperature | 85°C |
L2 Cache Size | 6 MB |
Display Connectors | None |
DirectX Support | 12.0 |
OpenGL Support | 4.6 |
Product Dimensions | 267mm x 111mm |
Maximum Power Consumption | 300W |