Comprehensive comparison for AI, machine learning, and high-performance computing workloads.
Ada Lovelace Architecture

CDNA 3 Architecture
| Specification | NVIDIA RTX 4070 Ti | AMD MI300X |
|---|---|---|
| Architecture | Ada Lovelace | CDNA 3 |
| Release Year | 2023 | 2023 |
| VRAM | 12 GB | 192 GB+93.8% |
| Memory Type | GDDR6X | HBM3 |
| Memory Bandwidth | 504 GB/s | 5300 GB/s+90.5% |
| FP32 Performance | 40.1 TFLOPS | 163 TFLOPS+75.4% |
| FP16 Performance | 80.2 TFLOPS | 326 TFLOPS+75.4% |
| INT8 Performance | 321 TOPS | 2610 TOPS+87.7% |
| Tensor Cores | 7680 | N/A |
| CUDA Cores | 7680 | 19456 |
| TDP | 285W | 750W |
| Form Factor | Consumer | OAM |
| NVLink Support | No | No |
| Avg. Price/Hour | $0.28 | $2.5+88.8% |
Single-precision floating-point performance for general compute workloads
AMD MI300X is 75.4% faster
Half-precision performance optimized for deep learning training
AMD MI300X is 75.4% faster
Integer performance for efficient model inference and deployment
AMD MI300X is 87.7% faster
Data transfer speed between GPU and memory
AMD MI300X is 90.5% faster
AMD MI300X
AMD MI300X
NVIDIA RTX 4070 Ti
AMD MI300X

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