
Legacy (2017)
NVIDIA
Volta
NVIDIA Volta introduced the first Tensor Cores. While mostly replaced by Ampere and Hopper, V100 GPUs are still in use for legacy AI workloads and HPC.
GPU Models in this Family
Click any card to expand detailed specifications

V100
16 GB HBM2 / 32 GB HBM2900 GB/sSXM2 / PCIe Gen3

V100
16 GB HBM2 / 32 GB HBM2900 GB/sSXM2 / PCIe Gen3
First GPU with Tensor Cores. Legacy architecture — mostly replaced by A100/H100 but still in use.
Legacy AI workloadsHPC (legacy)Budget training
Architecture
Volta
VRAM
16 GB HBM2 / 32 GB HBM2
Memory Bandwidth
900 GB/s
Interconnect
NVLink 2 (300 GB/s)
FP16 Performance
125 TFLOPS (with Tensor Cores)
FP32 Performance
15.7 TFLOPS
FP64 Performance
7.8 TFLOPS
TDP
300W (SXM), 250W (PCIe)
CUDA Cores
5,120
Tensor Cores
640
Process Node
TSMC 12N
Form Factor
SXM2 / PCIe Gen3
Quick Comparison
| GPU Model | VRAM | Bandwidth | FP16 | TDP | Starting Price |
|---|---|---|---|---|---|
| V100 | 16 GB HBM2 / 32 GB HBM2 | 900 GB/s | 125 TFLOPS (with Tensor Cores) | 300W (SXM), 250W (PCIe) | — |
Why Choose Volta?
Proven Performance
Volta GPUs power the world's largest AI training clusters. Battle-tested in production at scale for LLM training, fine-tuning, and inference.
Cloud-Native Ready
Available across multiple cloud providers with hourly billing. Compare real-time pricing and pick the cheapest option for your workload.
Ecosystem Support
Full compatibility with PyTorch, TensorFlow, JAX, vLLM, TensorRT, and all major ML frameworks. NVLink for multi-GPU scaling.