V100 vs AMD Instinct MI210
Detailed comparison of specifications, performance, and pricing between NVIDIA V100 32GB and AMD Instinct MI210
Difference Analysis
Full Specifications
| Specification | V100 | AMD Instinct MI210 |
|---|---|---|
| Brand | NVIDIA | AMD |
| Series | Data Center | Data Center |
| Architecture | Volta | CDNA 2 |
| VRAM | 32GB | 64GB |
| VRAM Type | HBM2 | HBM2E |
| Memory Bandwidth | 900 GB/s | 1.6 TB/s |
| FP16 TFLOPS | 31.4 | 181.0 |
| Tensor TFLOPS | 125.0 | 362.0 |
| TDP | 300W | 300W |
| Form Factor | SXM | - |
| Hardware Price | $$2.5k | - |
| Cloud Price (min) | $0.140/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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V100 vs AMD Instinct MI210 FAQ
It depends on your use case. The AMD Instinct MI210 offers 190% better performance (362.0 vs 125.0 TFLOPS). For raw performance, choose AMD Instinct MI210. For value, consider your budget and workload requirements.
The AMD Instinct MI210 has more VRAM with 64GB compared to 32GB (100% 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 32GB, 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.
The AMD Instinct MI210 actually offers 190% better performance. An "upgrade" to V100 would be a downgrade in raw performance, though it may offer other benefits like lower power consumption or cost.