NVIDIA H100 SXMvsNVIDIA RTX 5090
Comprehensive comparison for AI, machine learning, and high-performance computing workloads.
NVIDIA H100 SXM
Hopper Architecture
NVIDIA RTX 5090
Blackwell Architecture
Detailed Specifications
| Specification | NVIDIA H100 SXM | NVIDIA RTX 5090 |
|---|---|---|
| Architecture | Hopper | Blackwell |
| Release Year | 2022 | 2025 |
| VRAM | 80 GB+150.0% | 32 GB |
| Memory Type | HBM3 | GDDR7 |
| Memory Bandwidth | 3350 GB/s+86.9% | 1792 GB/s |
| FP32 Performance | 60 TFLOPS | 125 TFLOPS+52% |
| FP16 Performance | 120 TFLOPS | 250 TFLOPS+52% |
| INT8 Performance | 2400 TOPS+140.0% | 1000 TOPS |
| Tensor Cores | 16896 | 21760 |
| CUDA Cores | 16896 | 21760 |
| TDP | 700W | 575W |
| Form Factor | SXM | Consumer |
| NVLink Support | Yes | No |
| Avg. Price/Hour | $1.5+172.7% | $0.55 |
Performance Breakdown
Compute Performance
Single-precision floating-point performance for general compute workloads
NVIDIA RTX 5090 is 52% faster
AI Training Performance
Half-precision performance optimized for deep learning training
NVIDIA RTX 5090 is 52% faster
AI Inference Performance
Integer performance for efficient model inference and deployment
NVIDIA H100 SXM is 140% faster
Memory Bandwidth
Data transfer speed between GPU and memory
NVIDIA H100 SXM is 86.9% faster
NVIDIA RTX 5090
NVIDIA H100 SXM
NVIDIA RTX 5090
NVIDIA RTX 5090
Ideal Workloads
NVIDIA H100 SXM
NVIDIA RTX 5090
Cost Analysis
Hourly Rate
Daily Cost
Monthly Cost
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Frequently Asked Questions
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