▸ DEVICE UNDER TEST
NVIDIA Tesla T4G — 16 GB VRAM.
▸ TESLA T4G SPEC
- BRAND
- NVIDIA
- VRAM
- 16 GB GDDR6
- BANDWIDTH
- 320 GB/s
- FP16 COMPUTE
- 65.1 TFLOPS
- FP32 COMPUTE
- 8.1 TFLOPS
- CUDA CORES
- 2,560
- TENSOR CORES
- 320
- TDP
- 70 W
- ARCHITECTURE
- Turing
▸ AI CAPABILITY
202/ 331 models @ Q4
With 16 GB VRAM and 320 GB/s bandwidth, this GPU handles models up to 22.2B parameters.
Speed ≈ bandwidth / model_size × efficiency. A 7B model at Q4 runs at ~37 tok/s.
§ 01TOP MODELS FOR TESLA T4G
202 FIT · SHOWING 20| MODEL | SIZE | VRAM Q4 | TOK/S | AVG |
|---|---|---|---|---|
| Codestral 22B | 22.2B | 14.1 GB | 12 | 50.1 |
| Devstral Small 22B | 22.2B | 14.1 GB | 12 | 35.5 |
| Mistral Small 22B | 22.2B | 14.1 GB | 12 | 35.2 |
| SOLAR-Pro 22B | 22.1B | 14.0 GB | 12 | 44.2 |
| ERNIE 4.5 21B A3B | 21B | 13.3 GB | 85 | — |
| GPT-OSS 20B | 21B | 13.3 GB | 71 | 52.9 |
| InternLM2 20B | 19.8B | 12.6 GB | 13 | 45.1 |
| InternLM2.5 20B | 19.8B | 12.6 GB | 13 | 50.9 |
| Ling-lite 16.8B | 16.8B | 10.8 GB | 107 | — |
| DeepSeek V2 Lite 16B | 16B | 10.3 GB | 107 | 38.0 |
| DeepSeek-Coder-V2-Lite 15.7B | 15.7B | 10.1 GB | 107 | 43.0 |
| DeepSeek-VL2 Small 16B | 15.7B | 10.1 GB | 107 | 43.1 |
| StarCoder 15B | 15.5B | 10.0 GB | 17 | 21.0 |
| StarCoder2 15B | 15B | 9.7 GB | 17 | 26.5 |
| DeepSeek R1 Distill Qwen 14B | 14.8B | 9.5 GB | 17 | 43.9 |
| DeepCoder 14B | 14.8B | 9.5 GB | 17 | 38.7 |
| Qwen2.5-Coder-14B | 14.8B | 9.5 GB | 17 | 41.3 |
| Qwen2.5-14B | 14.8B | 9.5 GB | 17 | 41.3 |
| Qwen3 14B | 14.8B | 9.5 GB | 17 | 45.7 |
| Ministral 3 14B | 14B | 9.0 GB | 18 | 25.9 |