NVIDIA A100 SXMvsNVIDIA H100 SXM
Comprehensive comparison for AI, machine learning, and high-performance computing workloads.
NVIDIA A100 SXM
Ampere Architecture
NVIDIA H100 SXM
Hopper Architecture
Detailed Specifications
| Specification | NVIDIA A100 SXM | NVIDIA H100 SXM |
|---|---|---|
| Architecture | Ampere | Hopper |
| Release Year | 2020 | 2022 |
| VRAM | 80 GB | 80 GB |
| Memory Type | HBM2e | HBM3 |
| Memory Bandwidth | 2039 GB/s | 3350 GB/s+39.1% |
| FP32 Performance | 19.5 TFLOPS | 60 TFLOPS+67.5% |
| FP16 Performance | 78 TFLOPS | 120 TFLOPS+35% |
| INT8 Performance | 624 TOPS | 2400 TOPS+74% |
| Tensor Cores | 6912 | 16896 |
| CUDA Cores | 6912 | 16896 |
| TDP | 400W | 700W |
| Form Factor | SXM | SXM |
| NVLink Support | Yes | Yes |
| Avg. Price/Hour | $1.05 | $1.5+30% |
Performance Breakdown
Compute Performance
Single-precision floating-point performance for general compute workloads
NVIDIA H100 SXM is 67.5% faster
AI Training Performance
Half-precision performance optimized for deep learning training
NVIDIA H100 SXM is 35% faster
AI Inference Performance
Integer performance for efficient model inference and deployment
NVIDIA H100 SXM is 74% faster
Memory Bandwidth
Data transfer speed between GPU and memory
NVIDIA H100 SXM is 39.1% faster
NVIDIA H100 SXM
NVIDIA H100 SXM
NVIDIA A100 SXM
NVIDIA H100 SXM
Ideal Workloads
NVIDIA A100 SXM
NVIDIA H100 SXM
Cost Analysis
Hourly Rate
Daily Cost
Monthly Cost
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Frequently Asked Questions
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