AMD MI210 - 64GB usable
64GB of HBM2e on one card, by far the easiest route to that capacity. ROCm only, so plan for the software side.
Specifications
| Brand | AMD |
|---|---|
| Model | MI210 |
| Usable VRAM | 64GB |
| Architecture | CDNA2 |
| CUDA / Stream Processors | 6,656 |
| Memory Bandwidth | 1638 GB/s |
| TDP | 300W |
| FP32 TFLOPS | 23 |
Current Offers
Used from £4200
Prices last updated:
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Price History
- eBay£4200mid-range
For AI / LLM Use
Best for running 70B+ models on a single GPU. Very fast generation speed. Datacenter card with no display output, may need aftermarket cooling.
What Models Can It Run?
- 70B Q4_K_M, 30B full precision
- 30B Q6_K, 70B Q2_K
- 30B Q4_K_M, 14B full precision, 70B Q2 (tight)
- 14B Q6_K, 30B Q3_K (tight)
- 14B Q4_K_M, 7B full precision
- 7B Q6_K, 14B Q3_K (tight)
- 7B Q4_K_M only
Estimated Performance
Generation: ~123 tokens/sec
Prefill: ~411 tokens/sec
Recommended Quantisations
- Q6_K or Q8 for best quality
- Q4_K_M for larger models
- Full precision for 30B and below
Pros & Cons
Pros
- 64GB usable VRAM: handles large models
- High memory bandwidth for fast generation
- CDNA2 architecture: supported by current ROCm stacks
Cons
- 300W TDP: high power draw
- ROCm and CUDA-first framework compatibility should be checked before purchase
- No display output: headless only
- May need aftermarket cooling solution
Community Verdict
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