NVIDIA T4 — 16GB
Specifications
| Brand | NVIDIA |
|---|---|
| Model | T4 |
| VRAM | 16GB |
| Architecture | Turing |
| CUDA / Stream Processors | 2,560 |
| Memory Bandwidth | 320 GB/s |
| TDP | 70W |
| FP32 TFLOPS | 8.1 |
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For AI / LLM Use
Good for 14B models. 30B requires aggressive quantisation. Slower generation — usable but not snappy. Datacenter card — no display output, may need aftermarket cooling.
What Models Can It Run?
- 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: ~24 tokens/sec
Prefill: ~145 tokens/sec
Recommended Quantisations
- Q4_K_M for 14B models
- Q6_K for 7B-8B models
- Q8 for 7B if VRAM allows
Pros & Cons
Pros
- Only 70W TDP — power efficient
- Turing architecture — good software support
Cons
- No display output — headless only
- May need aftermarket cooling solution
Community Verdict
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