NVIDIA H100 SXMvsNVIDIA RTX 4080
Comprehensive comparison for AI, machine learning, and high-performance computing workloads.
NVIDIA H100 SXM
Hopper Architecture
NVIDIA RTX 4080
Ada Lovelace Architecture
Detailed Specifications
| Specification | NVIDIA H100 SXM | NVIDIA RTX 4080 |
|---|---|---|
| Architecture | Hopper | Ada Lovelace |
| Release Year | 2022 | 2022 |
| VRAM | 80 GB+400.0% | 16 GB |
| Memory Type | HBM3 | GDDR6X |
| Memory Bandwidth | 3350 GB/s+355.2% | 736 GB/s |
| FP32 Performance | 60 TFLOPS+23.2% | 48.7 TFLOPS |
| FP16 Performance | 120 TFLOPS+23.2% | 97.4 TFLOPS |
| INT8 Performance | 2400 TOPS+515.4% | 390 TOPS |
| Tensor Cores | 16896 | 9728 |
| CUDA Cores | 16896 | 9728 |
| TDP | 700W | 320W |
| Form Factor | SXM | Consumer |
| NVLink Support | Yes | No |
| Avg. Price/Hour | $1.5+328.6% | $0.35 |
Performance Breakdown
Compute Performance
Single-precision floating-point performance for general compute workloads
NVIDIA H100 SXM is 23.2% faster
AI Training Performance
Half-precision performance optimized for deep learning training
NVIDIA H100 SXM is 23.2% faster
AI Inference Performance
Integer performance for efficient model inference and deployment
NVIDIA H100 SXM is 515.4% faster
Memory Bandwidth
Data transfer speed between GPU and memory
NVIDIA H100 SXM is 355.2% faster
NVIDIA H100 SXM
NVIDIA H100 SXM
NVIDIA RTX 4080
NVIDIA RTX 4080
Ideal Workloads
NVIDIA H100 SXM
NVIDIA RTX 4080
Cost Analysis
Hourly Rate
Daily Cost
Monthly Cost
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Frequently Asked Questions
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