NVIDIA V100vsNVIDIA H100 SXM
Comprehensive comparison for AI, machine learning, and high-performance computing workloads.
NVIDIA V100
Volta Architecture
NVIDIA H100 SXM
Hopper Architecture
Detailed Specifications
| Specification | NVIDIA V100 | NVIDIA H100 SXM |
|---|---|---|
| Architecture | Volta | Hopper |
| Release Year | 2017 | 2022 |
| VRAM | 32 GB | 80 GB+60% |
| Memory Type | HBM2 | HBM3 |
| Memory Bandwidth | 900 GB/s | 3350 GB/s+73.1% |
| FP32 Performance | 15.7 TFLOPS | 60 TFLOPS+73.8% |
| FP16 Performance | 31.4 TFLOPS | 120 TFLOPS+73.8% |
| INT8 Performance | 125 TOPS | 2400 TOPS+94.8% |
| Tensor Cores | 5120 | 16896 |
| CUDA Cores | 5120 | 16896 |
| TDP | 300W | 700W |
| Form Factor | PCIe | SXM |
| NVLink Support | Yes | Yes |
| Avg. Price/Hour | $0.55 | $1.5+63.3% |
Performance Breakdown
Compute Performance
Single-precision floating-point performance for general compute workloads
NVIDIA H100 SXM is 73.8% faster
AI Training Performance
Half-precision performance optimized for deep learning training
NVIDIA H100 SXM is 73.8% faster
AI Inference Performance
Integer performance for efficient model inference and deployment
NVIDIA H100 SXM is 94.8% faster
Memory Bandwidth
Data transfer speed between GPU and memory
NVIDIA H100 SXM is 73.1% faster
NVIDIA H100 SXM
NVIDIA H100 SXM
NVIDIA V100
NVIDIA H100 SXM
Ideal Workloads
NVIDIA V100
NVIDIA H100 SXM
Cost Analysis
Hourly Rate
Daily Cost
Monthly Cost
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Frequently Asked Questions
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