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NVIDIA RTX 6000 Ada Generation

NVIDIA · 48GB GDDR6 ECC · Can run 62 models

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Manufacturer NVIDIA
VRAM 48 GB
Memory Type GDDR6 ECC
Architecture Ada Lovelace
CUDA Cores 18,176
Tensor Cores 568
Bandwidth 960 GB/s
TDP 300W
MSRP $6,800
Released Dec 3, 2022

AI Notes

The RTX 6000 Ada is a flagship workstation GPU with 48GB of ECC VRAM. It can comfortably run 30B-parameter models at high quantizations and 70B models at Q4, making it a strong choice for professional AI inference. The high CUDA and tensor core count delivers excellent throughput for demanding workloads.

Compatible Models

Model Parameters Best Quant VRAM Used Fit Est. Speed
Qwen 3 0.6B 600M Q4_K_M 2.5 GB Runs ~384 tok/s
Gemma 3 1B 1B Q8_0 2 GB Runs ~480 tok/s
Llama 3.2 1B 1B Q8_0 3 GB Runs ~320 tok/s
DeepSeek R1 1.5B 1.5B Q8_0 3 GB Runs ~320 tok/s
Gemma 2 2B 2B Q8_0 4 GB Runs ~240 tok/s
Gemma 3n E2B 2B Q4_K_M 3.3 GB Runs ~291 tok/s
Llama 3.2 3B 3B Q8_0 5 GB Runs ~192 tok/s
Phi-3 Mini 3.8B 3.8B Q8_0 5.8 GB Runs ~166 tok/s
Phi-4 Mini 3.8B 3.8B Q4_K_M 4.5 GB Runs ~213 tok/s
Gemma 3 4B 4B Q4_K_M 5 GB Runs ~192 tok/s
Gemma 3n E4B 4B Q4_K_M 4.5 GB Runs ~213 tok/s
Qwen 3 4B 4B Q4_K_M 4.5 GB Runs ~213 tok/s
DeepSeek R1 7B 7B Q8_0 9 GB Runs ~107 tok/s
Falcon 3 7B 7B Q4_K_M 6.8 GB Runs ~141 tok/s
Mistral 7B 7B Q8_0 9 GB Runs ~107 tok/s
Qwen 2.5 7B 7B Q8_0 9 GB Runs ~107 tok/s
Qwen 2.5 Coder 7B 7B Q8_0 9 GB Runs ~107 tok/s
Qwen 2.5 VL 7B 7B Q4_K_M 7 GB Runs ~137 tok/s
Cogito 8B 8B Q4_K_M 7.5 GB Runs ~128 tok/s
DeepSeek R1 8B 8B Q4_K_M 7.5 GB Runs ~128 tok/s
Llama 3.1 8B 8B Q8_0 10 GB Runs ~96 tok/s
Nemotron 3 Nano 8B 8B Q4_K_M 7.5 GB Runs ~128 tok/s
Qwen 3 8B 8B Q4_K_M 7.5 GB Runs ~128 tok/s
Gemma 2 9B 9B Q8_0 11 GB Runs ~87 tok/s
Falcon 3 10B 10B Q4_K_M 8.5 GB Runs ~113 tok/s
Llama 3.2 Vision 11B 11B Q4_K_M 8.5 GB Runs ~113 tok/s
Gemma 3 12B 12B Q4_K_M 10.5 GB Runs ~91 tok/s
Mistral Nemo 12B 12B Q4_K_M 9.5 GB Runs ~101 tok/s
DeepSeek R1 14B 14B Q4_K_M 9.9 GB Runs ~97 tok/s
Phi-4 14B 14B Q4_K_M 9.9 GB Runs ~97 tok/s
Phi-4 Reasoning 14B 14B Q4_K_M 11 GB Runs ~87 tok/s
Qwen 2.5 14B 14B Q4_K_M 9.9 GB Runs ~97 tok/s
Qwen 2.5 Coder 14B 14B Q4_K_M 12 GB Runs ~80 tok/s
Qwen 3 14B 14B Q4_K_M 12 GB Runs ~80 tok/s
StarCoder2 15B 15B Q8_0 17 GB Runs ~56 tok/s
Codestral 22B 22B Q4_K_M 14.7 GB Runs ~65 tok/s
Devstral 24B 24B Q4_K_M 17 GB Runs ~56 tok/s
Magistral Small 24B 24B Q4_K_M 17 GB Runs ~56 tok/s
Mistral Small 3.1 24B 24B Q4_K_M 18 GB Runs ~53 tok/s
Gemma 2 27B 27B Q4_K_M 17.7 GB Runs ~54 tok/s
Gemma 3 27B 27B Q4_K_M 20 GB Runs ~48 tok/s
Qwen 3 30B-A3B (MoE) 30B Q4_K_M 22 GB Runs ~44 tok/s
Cogito 32B 32B Q4_K_M 21.5 GB Runs ~45 tok/s
DeepSeek R1 32B 32B Q4_K_M 20.7 GB Runs ~46 tok/s
Qwen 2.5 32B 32B Q4_K_M 20.7 GB Runs ~46 tok/s
Qwen 2.5 Coder 32B 32B Q4_K_M 23 GB Runs ~42 tok/s
Qwen 3 32B 32B Q4_K_M 23 GB Runs ~42 tok/s
QwQ 32B 32B Q4_K_M 21.5 GB Runs ~45 tok/s
Command R 35B 35B Q4_K_M 22.5 GB Runs ~43 tok/s
Mixtral 8x7B 47B Q4_K_M 29.7 GB Runs ~32 tok/s
Cogito 70B 70B Q4_K_M 43 GB Runs (tight) ~22 tok/s
DeepSeek R1 70B 70B Q4_K_M 43.5 GB Runs (tight) ~22 tok/s
Llama 3.1 70B 70B Q4_K_M 43.5 GB Runs (tight) ~22 tok/s
Llama 3.3 70B 70B Q4_K_M 43.5 GB Runs (tight) ~22 tok/s
Qwen 2.5 72B 72B Q4_K_M 44.7 GB Runs (tight) ~21 tok/s
Qwen 2.5 VL 72B 72B Q4_K_M 41 GB Runs (tight) ~23 tok/s
Llama 3.2 Vision 90B 90B Q4_K_M 50 GB CPU Offload ~6 tok/s
Command R+ 104B 104B Q4_K_M 57 GB CPU Offload ~5 tok/s
Llama 4 Scout (109B/17B active) 109B Q4_K_M 72 GB CPU Offload ~4 tok/s
Command A 111B 111B Q4_K_M 61 GB CPU Offload ~5 tok/s
Devstral 2 123B 123B Q4_K_M 67 GB CPU Offload ~4 tok/s
Mistral Large 2 123B 123B Q4_K_M 67 GB CPU Offload ~4 tok/s
7 model(s) are too large for this hardware.