NVIDIA RTX 4080vsNVIDIA H100 SXM
Comprehensive comparison for AI, machine learning, and high-performance computing workloads.
NVIDIA RTX 4080
Ada Lovelace Architecture
NVIDIA H100 SXM
Hopper Architecture
Detailed Specifications
| Specification | NVIDIA RTX 4080 | NVIDIA H100 SXM |
|---|---|---|
| Architecture | Ada Lovelace | Hopper |
| Release Year | 2022 | 2022 |
| VRAM | 16 GB | 80 GB+80% |
| Memory Type | GDDR6X | HBM3 |
| Memory Bandwidth | 736 GB/s | 3350 GB/s+78% |
| FP32 Performance | 48.7 TFLOPS | 60 TFLOPS+18.8% |
| FP16 Performance | 97.4 TFLOPS | 120 TFLOPS+18.8% |
| INT8 Performance | 390 TOPS | 2400 TOPS+83.8% |
| Tensor Cores | 9728 | 16896 |
| CUDA Cores | 9728 | 16896 |
| TDP | 320W | 700W |
| Form Factor | Consumer | SXM |
| NVLink Support | No | Yes |
| Avg. Price/Hour | $0.35 | $1.5+76.7% |
Performance Breakdown
Compute Performance
Single-precision floating-point performance for general compute workloads
NVIDIA H100 SXM is 18.8% faster
AI Training Performance
Half-precision performance optimized for deep learning training
NVIDIA H100 SXM is 18.8% faster
AI Inference Performance
Integer performance for efficient model inference and deployment
NVIDIA H100 SXM is 83.8% faster
Memory Bandwidth
Data transfer speed between GPU and memory
NVIDIA H100 SXM is 78% faster
NVIDIA H100 SXM
NVIDIA H100 SXM
NVIDIA RTX 4080
NVIDIA RTX 4080
Ideal Workloads
NVIDIA RTX 4080
NVIDIA H100 SXM
Cost Analysis
Hourly Rate
Daily Cost
Monthly Cost
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Frequently Asked Questions
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