NVIDIA H100 SXMvsNVIDIA A100 SXM
Comprehensive comparison for AI, machine learning, and high-performance computing workloads.
NVIDIA H100 SXM
Hopper Architecture
NVIDIA A100 SXM
Ampere Architecture
Detailed Specifications
| Specification | NVIDIA H100 SXM | NVIDIA A100 SXM |
|---|---|---|
| Architecture | Hopper | Ampere |
| Release Year | 2022 | 2020 |
| VRAM | 80 GB | 80 GB |
| Memory Type | HBM3 | HBM2e |
| Memory Bandwidth | 3350 GB/s+64.3% | 2039 GB/s |
| FP32 Performance | 60 TFLOPS+207.7% | 19.5 TFLOPS |
| FP16 Performance | 120 TFLOPS+53.8% | 78 TFLOPS |
| INT8 Performance | 2400 TOPS+284.6% | 624 TOPS |
| Tensor Cores | 16896 | 6912 |
| CUDA Cores | 16896 | 6912 |
| TDP | 700W | 400W |
| Form Factor | SXM | SXM |
| NVLink Support | Yes | Yes |
| Avg. Price/Hour | $1.5+42.9% | $1.05 |
Performance Breakdown
Compute Performance
Single-precision floating-point performance for general compute workloads
NVIDIA H100 SXM is 207.7% faster
AI Training Performance
Half-precision performance optimized for deep learning training
NVIDIA H100 SXM is 53.8% faster
AI Inference Performance
Integer performance for efficient model inference and deployment
NVIDIA H100 SXM is 284.6% faster
Memory Bandwidth
Data transfer speed between GPU and memory
NVIDIA H100 SXM is 64.3% faster
NVIDIA H100 SXM
NVIDIA A100 SXM
NVIDIA A100 SXM
NVIDIA H100 SXM
Ideal Workloads
NVIDIA H100 SXM
NVIDIA A100 SXM
Cost Analysis
Hourly Rate
Daily Cost
Monthly Cost
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Frequently Asked Questions
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