NVIDIA Tesla M40 — 24GB
Cheapest 24GB GPU at ~$80. Maxwell architecture is slow but the VRAM capacity is real. Needs aftermarket cooling.
Specifications
| Brand | NVIDIA |
|---|---|
| Model | Tesla M40 |
| VRAM | 24GB |
| Architecture | Maxwell |
| CUDA / Stream Processors | 3,072 |
| Memory Bandwidth | 288 GB/s |
| TDP | 250W |
| FP32 TFLOPS | 7 |
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For AI / LLM Use
Solid choice for 30B models and comfortable 14B inference. Slower generation — usable but not snappy. Older architecture may have limited software support (check CUDA compatibility). Datacenter card — no display output, may need aftermarket cooling.
What Models Can It Run?
- 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: ~22 tokens/sec
Prefill: ~125 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
- 24GB VRAM — handles large models
Cons
- Low memory bandwidth — slower token generation
- Older architecture — check CUDA/ROCm compatibility
- No display output — headless only
- May need aftermarket cooling solution
Community Verdict
- r/LocalLLaMA
The absolute cheapest 24GB card. Passive cooled so you need a blower mod. Slow but VRAM is VRAM.
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