NVIDIA H100 SXMvsNVIDIA A40
Comprehensive comparison for AI, machine learning, and high-performance computing workloads.
NVIDIA H100 SXM
Hopper Architecture
NVIDIA A40
Ampere Architecture
Detailed Specifications
| Specification | NVIDIA H100 SXM | NVIDIA A40 |
|---|---|---|
| Architecture | Hopper | Ampere |
| Release Year | 2022 | 2020 |
| VRAM | 80 GB+66.7% | 48 GB |
| Memory Type | HBM3 | GDDR6 |
| Memory Bandwidth | 3350 GB/s+381.3% | 696 GB/s |
| FP32 Performance | 60 TFLOPS+60.4% | 37.4 TFLOPS |
| FP16 Performance | 120 TFLOPS+60.4% | 74.8 TFLOPS |
| INT8 Performance | 2400 TOPS+702.7% | 299 TOPS |
| Tensor Cores | 16896 | 10752 |
| CUDA Cores | 16896 | 10752 |
| TDP | 700W | 300W |
| Form Factor | SXM | PCIe |
| NVLink Support | Yes | No |
| Avg. Price/Hour | $1.5+100.0% | $0.75 |
Performance Breakdown
Compute Performance
Single-precision floating-point performance for general compute workloads
NVIDIA H100 SXM is 60.4% faster
AI Training Performance
Half-precision performance optimized for deep learning training
NVIDIA H100 SXM is 60.4% faster
AI Inference Performance
Integer performance for efficient model inference and deployment
NVIDIA H100 SXM is 702.7% faster
Memory Bandwidth
Data transfer speed between GPU and memory
NVIDIA H100 SXM is 381.3% faster
NVIDIA H100 SXM
NVIDIA H100 SXM
NVIDIA A40
NVIDIA A40
Ideal Workloads
NVIDIA H100 SXM
NVIDIA A40
Cost Analysis
Hourly Rate
Daily Cost
Monthly Cost
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Frequently Asked Questions
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