T1000 8 GB
NVIDIA
8GB VRAM · 160 GB/s bandwidth · 5.0 FP16 TFLOPS · 50W TDP
The T1000 8 GB has 8GB of VRAM with 160 GB/s memory bandwidth and 5.0 TFLOPS FP16 compute. At Q4 quantization, it can comfortably run Gemma 3 4B (46 tok/s). Models larger than ~14B parameters won't fit even at Q4. Electricity cost is approximately $5/month at 50W TDP.
What LLMs can you run?
| Model | Params | Q4 Weight | Fit | Decode |
|---|---|---|---|---|
| Gemma 3 4B | 4.0B | 2 GB | comfortable | 46 tok/s |
| Qwen 2.5 7B | 7.6B | 4 GB | tight | 24 tok/s |
| Llama 3.1 8B | 8.0B | 4 GB | tight | 23 tok/s |
| Mistral Small 24B | 24.0B | 12 GB | won't fit | |
| Gemma 3 27B | 27.4B | 14 GB | won't fit | |
| Qwen 2.5 Coder 32B | 32.5B | 16 GB | won't fit | |
| Llama 3.3 70B | 70.6B | 35 GB | won't fit | |
| Qwen 2.5 72B | 72.7B | 36 GB | won't fit | |
| Llama 3.1 405B | 405B | 202 GB | won't fit | |
| DeepSeek R1 671B | 671B | 336 GB | won't fit |
Similar GPUs
| GPU | VRAM | BW | TFLOPS | TDP |
|---|---|---|---|---|
| RTX A1000 | 8GB | 192 GB/s | 6.7 | 50W |
| Tesla P4 | 8GB | 192 GB/s | 0.1 | 75W |
| M2 8GB | 8GB | 100 GB/s | 7.2 | 15W |
| M3 8GB | 8GB | 100 GB/s | 8.2 | 15W |
| Radeon Instinct MI6 | 8GB | 224 GB/s | 5.7 | 150W |
Compare with another GPU
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