Comprehensive comparison for AI, machine learning, and high-performance computing workloads.
Ada Lovelace Architecture
Hopper Architecture
| Specification | NVIDIA RTX 4090 | NVIDIA H100 SXM |
|---|---|---|
| Architecture | Ada Lovelace | Hopper |
| Release Year | 2022 | 2022 |
| VRAM | 24 GB | 80 GB+70% |
| Memory Type | GDDR6X | HBM3 |
| Memory Bandwidth | 1008 GB/s | 3350 GB/s+69.9% |
| FP32 Performance | 82.6 TFLOPS+37.7% | 60 TFLOPS |
| FP16 Performance | 165 TFLOPS+37.5% | 120 TFLOPS |
| INT8 Performance | 661 TOPS | 2400 TOPS+72.5% |
| Tensor Cores | 16384 | 16896 |
| CUDA Cores | 16384 | 16896 |
| TDP | 450W | 700W |
| Form Factor | Consumer | SXM |
| NVLink Support | No | Yes |
| Avg. Price/Hour | $0.36 | $1.5+76% |
Single-precision floating-point performance for general compute workloads
NVIDIA RTX 4090 is 37.7% faster
Half-precision performance optimized for deep learning training
NVIDIA RTX 4090 is 37.5% faster
Integer performance for efficient model inference and deployment
NVIDIA H100 SXM is 72.5% faster
Data transfer speed between GPU and memory
NVIDIA H100 SXM is 69.9% faster
NVIDIA RTX 4090
NVIDIA H100 SXM
NVIDIA RTX 4090
NVIDIA RTX 4090
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