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VRAM-Rechner β€Ί GPUs β€Ί NVIDIA RTX 6000 Ada

What LLMs Run on NVIDIA RTX 6000 Ada (48GB VRAM)?

NVIDIA RTX 6000 Ada (48GB VRAM, 960 GB/s bandwidth, 182.2 TFLOPS FP16).

Modellname Parameter (Aktiv) Q4_K_M (4-bit) FP16 VRAM Status on NVIDIA RTX 6000 Ada Decode / Prefill Report
DeepSeek-R1 671B (MoE) 671B 378.7 GB 1250.87 GB Nein ~3 / 1280 tok/s Calculate β†’
DeepSeek-V3-0324 671B (MoE) 671B 378.7 GB 1250.87 GB Nein ~3 / 1280 tok/s Calculate β†’
DeepSeek-R1-Distill-Llama-70B 70.55B 43.09 GB 134.41 GB Fits Q4_K_M ~15.5 / 671 tok/s Calculate β†’
DeepSeek-R1-Distill-Qwen-32B 32.76B 21.23 GB 63.51 GB Fits Q4_K_M ~33.4 / 1446 tok/s Calculate β†’
DeepSeek-R1-Distill-Qwen-14B 14.77B 10.61 GB 29.5 GB FP16 & Q4 ~74 / 3207 tok/s Calculate β†’
DeepSeek-R1-Distill-Llama-8B 8.03B 6.22 GB 16.45 GB FP16 & Q4 ~136.1 / 5899 tok/s Calculate β†’
DeepSeek-R1-Distill-Qwen-7B 7.62B 5.43 GB 15.12 GB FP16 & Q4 ~143.4 / 6217 tok/s Calculate β†’
Qwen3-235B-A22B (MoE) 235.1B 134.4 GB 439.87 GB Nein ~6.5 / 2134 tok/s Calculate β†’
Qwen3-30B-A3B (MoE) 30.53B 18.53 GB 58.1 GB Fits Q4_K_M ~327.2 / 14183 tok/s Calculate β†’
Qwen3-32B 32.76B 21.22 GB 63.51 GB Fits Q4_K_M ~33.4 / 1446 tok/s Calculate β†’
Qwen3-14B 14.77B 10.36 GB 29.25 GB FP16 & Q4 ~74 / 3207 tok/s Calculate β†’
Qwen3-8B 8.19B 6.47 GB 16.87 GB FP16 & Q4 ~133.4 / 5784 tok/s Calculate β†’
Qwen3-4B 4.02B 3.61 GB 8.68 GB FP16 & Q4 ~271.8 / 11784 tok/s Calculate β†’
Qwen2.5-72B-Instruct 72.71B 44.38 GB 138.43 GB Fits Q4_K_M ~15 / 652 tok/s Calculate β†’
Qwen2.5-Coder-32B-Instruct 32.76B 21.23 GB 63.51 GB Fits Q4_K_M ~33.4 / 1446 tok/s Calculate β†’
Qwen2.5-14B-Instruct 14.77B 10.61 GB 29.5 GB FP16 & Q4 ~74 / 3207 tok/s Calculate β†’
Qwen2.5-7B-Instruct 7.62B 5.43 GB 15.12 GB FP16 & Q4 ~143.4 / 6217 tok/s Calculate β†’
QwQ-32B Reasoning 32.76B 21.23 GB 63.51 GB Fits Q4_K_M ~33.4 / 1446 tok/s Calculate β†’
Llama-4-Maverick-17B-128E (400B MoE) 400B 227.32 GB 747.05 GB Nein ~7 / 2754 tok/s Calculate β†’
Llama-4-Scout-17B-16E (109B MoE) 109B 63.7 GB 205.02 GB Nein ~18.1 / 2754 tok/s Calculate β†’
Llama-3.3-70B-Instruct 70.55B 43.09 GB 134.41 GB Fits Q4_K_M ~15.5 / 671 tok/s Calculate β†’
Llama-3.1-405B-Instruct 405B 233.02 GB 758.82 GB Nein ~1.2 / 117 tok/s Calculate β†’
Llama-3.1-70B-Instruct 70.55B 43.09 GB 134.41 GB Fits Q4_K_M ~15.5 / 671 tok/s Calculate β†’
Llama-3.1-8B-Instruct 8.03B 6.22 GB 16.45 GB FP16 & Q4 ~136.1 / 5899 tok/s Calculate β†’
Llama-3.2-3B-Instruct 3.21B 3.33 GB 7.34 GB FP16 & Q4 ~340.4 / 14758 tok/s Calculate β†’
Mistral-Large-2-123B 122.6B 72.84 GB 231.62 GB Nein ~2 / 386 tok/s Calculate β†’
Mistral-Small-3.1-24B-Instruct 23.6B 15.28 GB 45.7 GB FP16 & Q4 ~46.3 / 2007 tok/s Calculate β†’
Mixtral-8x22B-Instruct (MoE) 140.6B 81.38 GB 264.13 GB Nein ~5.4 / 1212 tok/s Calculate β†’
Mixtral-8x7B-Instruct (MoE) 46.7B 27.8 GB 88.47 GB Fits Q4_K_M ~84.7 / 3672 tok/s Calculate β†’
Codestral-22B 22.2B 14.81 GB 43.59 GB FP16 & Q4 ~49.2 / 2134 tok/s Calculate β†’
Google Gemma-3-27B-IT 27.4B 20.34 GB 55.4 GB Fits Q4_K_M ~39.9 / 1729 tok/s Calculate β†’
Google Gemma-3-12B-IT 12.2B 10.75 GB 26.21 GB FP16 & Q4 ~89.6 / 3883 tok/s Calculate β†’
Google Gemma-3-4B-IT 4.3B 4.24 GB 9.56 GB FP16 & Q4 ~254.1 / 11017 tok/s Calculate β†’
Microsoft Phi-4 14B 14.66B 10.5 GB 29.36 GB FP16 & Q4 ~74.5 / 3231 tok/s Calculate β†’
Cohere Command-A 111B 111B 66.19 GB 209.26 GB Nein ~2.6 / 427 tok/s Calculate β†’
GLM-4-32B-0414 32B 20.77 GB 62 GB Fits Q4_K_M ~34.1 / 1480 tok/s Calculate β†’