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

CDNA 2 Architecture
| Specification | NVIDIA L40S | AMD MI250X |
|---|---|---|
| Architecture | Ada Lovelace | CDNA 2 |
| Release Year | 2023 | 2021 |
| VRAM | 48 GB | 128 GB+62.5% |
| Memory Type | GDDR6 | HBM2e |
| Memory Bandwidth | 864 GB/s | 3277 GB/s+73.6% |
| FP32 Performance | 91.6 TFLOPS+91.2% | 47.9 TFLOPS |
| FP16 Performance | 183 TFLOPS+91.2% | 95.7 TFLOPS |
| INT8 Performance | 733 TOPS+91.4% | 383 TOPS |
| Tensor Cores | 18176 | N/A |
| CUDA Cores | 18176 | 14080 |
| TDP | 350W | 560W |
| Form Factor | PCIe | OAM |
| NVLink Support | No | No |
| Avg. Price/Hour | $0.85 | $1.35+37% |
Single-precision floating-point performance for general compute workloads
NVIDIA L40S is 91.2% faster
Half-precision performance optimized for deep learning training
NVIDIA L40S is 91.2% faster
Integer performance for efficient model inference and deployment
NVIDIA L40S is 91.4% faster
Data transfer speed between GPU and memory
AMD MI250X is 73.6% faster
NVIDIA L40S
AMD MI250X
NVIDIA L40S
NVIDIA L40S

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