NVIDIA RTX 4080vsAMD MI300X
Comprehensive comparison for AI, machine learning, and high-performance computing workloads.
NVIDIA RTX 4080
Ada Lovelace Architecture
AMD MI300X
CDNA 3 Architecture
Detailed Specifications
| Specification | NVIDIA RTX 4080 | AMD MI300X |
|---|---|---|
| Architecture | Ada Lovelace | CDNA 3 |
| Release Year | 2022 | 2023 |
| VRAM | 16 GB | 192 GB+91.7% |
| Memory Type | GDDR6X | HBM3 |
| Memory Bandwidth | 736 GB/s | 5300 GB/s+86.1% |
| FP32 Performance | 48.7 TFLOPS | 163 TFLOPS+70.1% |
| FP16 Performance | 97.4 TFLOPS | 326 TFLOPS+70.1% |
| INT8 Performance | 390 TOPS | 2610 TOPS+85.1% |
| Tensor Cores | 9728 | N/A |
| CUDA Cores | 9728 | 19456 |
| TDP | 320W | 750W |
| Form Factor | Consumer | OAM |
| NVLink Support | No | No |
| Avg. Price/Hour | $0.35 | $2.5+86% |
Performance Breakdown
Compute Performance
Single-precision floating-point performance for general compute workloads
AMD MI300X is 70.1% faster
AI Training Performance
Half-precision performance optimized for deep learning training
AMD MI300X is 70.1% faster
AI Inference Performance
Integer performance for efficient model inference and deployment
AMD MI300X is 85.1% faster
Memory Bandwidth
Data transfer speed between GPU and memory
AMD MI300X is 86.1% faster
AMD MI300X
AMD MI300X
NVIDIA RTX 4080
AMD MI300X
Ideal Workloads
NVIDIA RTX 4080
AMD MI300X
Cost Analysis
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Daily Cost
Monthly Cost
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Frequently Asked Questions
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