AMD MI100 - 32GB usable
Specifications
| Brand | AMD |
|---|---|
| Model | MI100 |
| Usable VRAM | 32GB |
| Architecture | CDNA |
| CUDA / Stream Processors | 7,680 |
| Memory Bandwidth | 1229 GB/s |
| TDP | 300W |
| FP32 TFLOPS | 23.1 |
Current Offers
Used from $880New from $2499
Prices last updated:
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Price History
- eBay$880at low
- Newegg$2499at high
For AI / LLM Use
Solid choice for 30B models and comfortable 14B inference. Very fast generation speed. Datacenter card with no display output, may need aftermarket cooling.
What Models Can It Run?
- 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: ~92 tokens/sec
Prefill: ~413 tokens/sec
Recommended Quantisations
- Q4_K_M recommended for 30B models
- Q6_K or Q8 for 14B and below
- Full precision for 7B
Pros & Cons
Pros
- 32GB usable VRAM: handles large models
- High memory bandwidth for fast generation
- CDNA 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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