Comprehensive comparison for AI, machine learning, and high-performance computing workloads.
Hopper Architecture
Ada Lovelace Architecture
| Specification | NVIDIA H100 SXM | NVIDIA RTX 4090 |
|---|---|---|
| Architecture | Hopper | Ada Lovelace |
| Release Year | 2022 | 2022 |
| VRAM | 80 GB+233.3% | 24 GB |
| Memory Type | HBM3 | GDDR6X |
| Memory Bandwidth | 3350 GB/s+232.3% | 1008 GB/s |
| FP32 Performance | 60 TFLOPS | 82.6 TFLOPS+27.4% |
| FP16 Performance | 120 TFLOPS | 165 TFLOPS+27.3% |
| INT8 Performance | 2400 TOPS+263.1% | 661 TOPS |
| Tensor Cores | 16896 | 16384 |
| CUDA Cores | 16896 | 16384 |
| TDP | 700W | 450W |
| Form Factor | SXM | Consumer |
| NVLink Support | Yes | No |
| Avg. Price/Hour | $1.5+316.7% | $0.36 |
Single-precision floating-point performance for general compute workloads
NVIDIA RTX 4090 is 27.4% faster
Half-precision performance optimized for deep learning training
NVIDIA RTX 4090 is 27.3% faster
Integer performance for efficient model inference and deployment
NVIDIA H100 SXM is 263.1% faster
Data transfer speed between GPU and memory
NVIDIA H100 SXM is 232.3% faster
NVIDIA RTX 4090
NVIDIA H100 SXM
NVIDIA RTX 4090
NVIDIA RTX 4090
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