NVIDIA H100 SXMvsNVIDIA V100
Comprehensive comparison for AI, machine learning, and high-performance computing workloads.
NVIDIA H100 SXM
Hopper Architecture
NVIDIA V100
Volta Architecture
Detailed Specifications
| Specification | NVIDIA H100 SXM | NVIDIA V100 |
|---|---|---|
| Architecture | Hopper | Volta |
| Release Year | 2022 | 2017 |
| VRAM | 80 GB+150.0% | 32 GB |
| Memory Type | HBM3 | HBM2 |
| Memory Bandwidth | 3350 GB/s+272.2% | 900 GB/s |
| FP32 Performance | 60 TFLOPS+282.2% | 15.7 TFLOPS |
| FP16 Performance | 120 TFLOPS+282.2% | 31.4 TFLOPS |
| INT8 Performance | 2400 TOPS+1820.0% | 125 TOPS |
| Tensor Cores | 16896 | 5120 |
| CUDA Cores | 16896 | 5120 |
| TDP | 700W | 300W |
| Form Factor | SXM | PCIe |
| NVLink Support | Yes | Yes |
| Avg. Price/Hour | $1.5+172.7% | $0.55 |
Performance Breakdown
Compute Performance
Single-precision floating-point performance for general compute workloads
NVIDIA H100 SXM is 282.2% faster
AI Training Performance
Half-precision performance optimized for deep learning training
NVIDIA H100 SXM is 282.2% faster
AI Inference Performance
Integer performance for efficient model inference and deployment
NVIDIA H100 SXM is 1820% faster
Memory Bandwidth
Data transfer speed between GPU and memory
NVIDIA H100 SXM is 272.2% faster
NVIDIA H100 SXM
NVIDIA H100 SXM
NVIDIA V100
NVIDIA H100 SXM
Ideal Workloads
NVIDIA H100 SXM
NVIDIA V100
Cost Analysis
Hourly Rate
Daily Cost
Monthly Cost
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Frequently Asked Questions
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