L40S vs AMD Instinct MI210
Detailed comparison of specifications, performance, and pricing between NVIDIA L40S and AMD Instinct MI210
Difference Analysis
Full Specifications
| Specification | L40S | AMD Instinct MI210 |
|---|---|---|
| Brand | NVIDIA | AMD |
| Series | Data Center | Data Center |
| Architecture | Ada Lovelace | CDNA 2 |
| VRAM | 48GB | 64GB |
| VRAM Type | GDDR6 | HBM2E |
| Memory Bandwidth | 864 GB/s | 1.6 TB/s |
| FP16 TFLOPS | 183.0 | 181.0 |
| Tensor TFLOPS | 733.0 | 362.0 |
| TDP | 350W | 300W |
| Form Factor | PCIe | - |
| Hardware Price | $$9.0k | - |
| Cloud Price (min) | $0.860/hr | - |
Which Should You Choose?
For AI Training
Large model training needs maximum VRAM and memory bandwidth.
For AI Inference
Inference prioritizes throughput and cost efficiency.
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L40S vs AMD Instinct MI210 FAQ
It depends on your use case. The L40S offers 102% better performance (733.0 vs 362.0 TFLOPS). For raw performance, choose L40S. For value, consider your budget and workload requirements.
The AMD Instinct MI210 has more VRAM with 64GB compared to 48GB (33% more). More VRAM is crucial for training large models and running inference on bigger batch sizes.
For AI training, the AMD Instinct MI210 is generally better due to its larger VRAM (64GB). Large language models and deep learning workloads benefit significantly from more memory. However, if your models fit in 48GB, the cheaper option may be more cost-effective.
Price comparison requires both GPUs to have available pricing data. Check individual GPU pages for current market prices.
Upgrading to L40S would give you 102% more performance and similar VRAM. Consider if your workloads are bottlenecked by current GPU capabilities.