NVIDIA RTX 4080vsAMD MI250X
Comprehensive comparison for AI, machine learning, and high-performance computing workloads.
NVIDIA RTX 4080
Ada Lovelace Architecture
AMD MI250X
CDNA 2 Architecture
Detailed Specifications
| Specification | NVIDIA RTX 4080 | AMD MI250X |
|---|---|---|
| Architecture | Ada Lovelace | CDNA 2 |
| Release Year | 2022 | 2021 |
| VRAM | 16 GB | 128 GB+87.5% |
| Memory Type | GDDR6X | HBM2e |
| Memory Bandwidth | 736 GB/s | 3277 GB/s+77.5% |
| FP32 Performance | 48.7 TFLOPS+1.7% | 47.9 TFLOPS |
| FP16 Performance | 97.4 TFLOPS+1.8% | 95.7 TFLOPS |
| INT8 Performance | 390 TOPS+1.8% | 383 TOPS |
| Tensor Cores | 9728 | N/A |
| CUDA Cores | 9728 | 14080 |
| TDP | 320W | 560W |
| Form Factor | Consumer | OAM |
| NVLink Support | No | No |
| Avg. Price/Hour | $0.35 | $1.35+74.1% |
Performance Breakdown
Compute Performance
Single-precision floating-point performance for general compute workloads
NVIDIA RTX 4080 is 1.7% faster
AI Training Performance
Half-precision performance optimized for deep learning training
NVIDIA RTX 4080 is 1.8% faster
AI Inference Performance
Integer performance for efficient model inference and deployment
NVIDIA RTX 4080 is 1.8% faster
Memory Bandwidth
Data transfer speed between GPU and memory
AMD MI250X is 77.5% faster
NVIDIA RTX 4080
AMD MI250X
NVIDIA RTX 4080
NVIDIA RTX 4080
Ideal Workloads
NVIDIA RTX 4080
AMD MI250X
Cost Analysis
Hourly Rate
Daily Cost
Monthly Cost
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Frequently Asked Questions
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