H100 PCIe vs RTX 4090
Detailed comparison of specifications, performance, and pricing between NVIDIA H100 PCIe and NVIDIA GeForce RTX 4090
Difference Analysis
Full Specifications
| Specification | H100 PCIe | RTX 4090 | AMD Instinct MI100 |
|---|---|---|---|
| Brand | NVIDIA | NVIDIA | AMD |
| Series | Data Center | Consumer | Data Center |
| Architecture | Hopper | Ada Lovelace | CDNA |
| VRAM | 80GB | 24GB | 32GB |
| VRAM Type | HBM2e | GDDR6X | HBM2 |
| Memory Bandwidth | 2.0 TB/s | 1.0 TB/s | 1.2 TB/s |
| FP16 TFLOPS | 102.0 | 165.2 | 184.6 |
| Tensor TFLOPS | 1.5k | - | 184.6 |
| TDP | 350W | 450W | 300W |
| Form Factor | PCIe | PCIe | - |
| Hardware Price | $$28k | $$1.8k | - |
| Cloud Price (min) | $2.39/hr | $0.235/hr | - |
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H100 PCIe vs RTX 4090 FAQ
It depends on your use case. The H100 PCIe offers 816% better performance (1.5k vs 165.2 TFLOPS). However, the RTX 4090 is 1456% cheaper. For raw performance, choose H100 PCIe. For value, consider your budget and workload requirements.
The H100 PCIe has more VRAM with 80GB compared to 24GB (233% more). More VRAM is crucial for training large models and running inference on bigger batch sizes.
For AI training, the H100 PCIe is generally better due to its larger VRAM (80GB). Large language models and deep learning workloads benefit significantly from more memory. However, if your models fit in 24GB, the cheaper option may be more cost-effective.
The RTX 4090 is 1456% cheaper at $$1.8k vs $$28k. When considering performance per dollar, evaluate your specific workload requirements to determine the best value.
Upgrading to H100 PCIe would give you 816% more performance and 233% more VRAM. The upgrade cost difference is approximately $$26k. Consider if your workloads are bottlenecked by current GPU capabilities.