NVIDIA RTX 6000 Ada Generation
48 GB · 960 GB/s · 300 W
In short
The NVIDIA RTX 6000 Ada Generation has 48 GB of GDDR6 memory with 960 GB/s of bandwidth, which sets how fast it generates text. At 8k context it runs 78 of the 126 open models we track fully in memory; the most capable is DeepSeek V4 Flash at UD-Q2_K_XL, at about 48 tok/s (estimated). The best new price for the NVIDIA RTX 6000 Ada Generation in Canada is $15,136 at eBay.
Updated . Speeds are estimates; how they are worked out.
Prices
Every retailer we track in Canada, cheapest first. Buy links may earn us a commission.
| Retailer | Condition | Price | Stock | Checked | Buy |
|---|---|---|---|---|---|
| eBayNVIDIA RTX 6000 Ada Generation 48 GB GDDR6 with ECC HPC AI acceleration GPU | New | $15,136 | In stock | 3 h ago | Buy |
What two of them run
Every model in the catalogue, with the best quant for this hardware. Estimates, not measurements.
| Model | Quant | Fits | Memory | Max context | Decode @8k | Prefill | Good for |
|---|---|---|---|---|---|---|---|
| DeepSeek V4 Flash DeepSeek | UD-Q2_K_XL | fits | 92.0 GB | 39k69k with q8 cache | 48tok/sest. | 642 tok/s | chat, coding |
| Qwen 3.8 Flash Next Alibaba Qwen | UD-Q3_K_XL | fits | 85.2 GB | 256k | 12tok/sest. | 330 tok/s | – |
| MiniMax M2.7 MiniMax | UD-Q2_K_XL | fits | 73.2 GB | 95k175k with q8 cache | 63tok/sest. | 1449 tok/s | chat, coding |
| Qwen 3.8 27B Alibaba Qwen | Q8_0 | fits | 28.8 GB | 256k | 20tok/sest. | 717 tok/s | chat, long documents |
| Qwen 3.5 122B-A10B Alibaba Qwen | Q5_K_M | fits | 86.7 GB | 256k | 47tok/sest. | 1897 tok/s | chat, coding, agents, long documents |
| Qwen 3.6 27B Alibaba Qwen | Q8_0 | fits | 28.4 GB | 256k | 20tok/sest. | 717 tok/s | chat, long documents |
| gpt-oss 120B OpenAI | MXFP4 | fits | 60.5 GB | 128k | 104tok/sest. | 3216 tok/s | chat, coding, agents, long documents |
| Qwen3 Coder Next Alibaba Qwen | Q8_0 | fits | 80.4 GB | 256k | 81tok/sest. | 4792 tok/s | chat, coding, agents, long documents |
| Nemotron 3 Super 120B-A12B NVIDIA | Q5_K_M | fits | 91.3 GB | 256k | 37tok/sest. | 1671 tok/s | chat, coding, agents, long documents |
| Gemma 4 31B | Q8_0 | fits | 32.9 GB | 256k | 17tok/sest. | 625 tok/s | chat |
| Mistral Small 4 119B Mistral AI | UD-Q6_K | fits | 93.9 GB | 39k62k with q8 cache | 59tok/sest. | 2479 tok/s | chat, coding, agents, long documents |
| Qwen 3.6 35B-A3B Alibaba Qwen | Q8_0 | fits | 35.7 GB | 256k | 108tok/sest. | 6145 tok/s | chat, coding, agents, long documents |
| Qwen 3.5 27B Alibaba Qwen | Q8_0 | fits | 28.4 GB | 256k | 20tok/sest. | 717 tok/s | chat, long documents |
| Gemma 4 26B-A4B | Q8_0 | fits | 26.5 GB | 256k | 79tok/sest. | 4683 tok/s | chat, coding, agents, long documents |
| GLM 4.5 Air Z.ai | Q6_K | fits | 94.8 GB | 8k14k with q8 cache | 25tok/sest. | 1131 tok/s | chat |
| Qwen 3.5 35B-A3B Alibaba Qwen | Q8_0 | fits | 35.7 GB | 256k | 108tok/sest. | 6145 tok/s | chat, coding, agents, long documents |
| Qwen3 Next 80B-A3B Alibaba Qwen | Q8_0 | fits | 80.4 GB | 256k | 105tok/sest. | 6024 tok/s | chat, coding, agents, long documents |
| GLM 4.7 Flash Z.ai | Q8_0 | fits | 31.2 GB | 198k | 62tok/sest. | 3439 tok/s | chat, coding, agents, long documents |
| Devstral Small 2 24B Mistral AI | Q8_0 | fits | 25.7 GB | 384k | 23tok/sest. | 809 tok/s | chat |
| Nemotron 3.5 Lightning 30B-A3B NVIDIA | UD-Q6_K_XL | fits | 33.8 GB | 256k | 104tok/sest. | 6403 tok/s | chat, coding, agents, long documents |
| gpt-oss 20B OpenAI | MXFP4 | fits | 12.6 GB | 128k | 136tok/sest. | 4448 tok/s | chat, coding, agents, long documents |
| Kimi Linear 48B-A3B Moonshot AI | Q8_0 | fits | 49.9 GB | 1024k | 108tok/sest. | 5840 tok/s | chat, coding, long documents |
| Qwen3 Coder 30B-A3B Alibaba Qwen | Q8_0 | fits | 32.1 GB | 256k | 89tok/sest. | 4446 tok/s | chat, coding, agents, long documents |
| Qwen3 32B Alibaba Qwen | Q8_0 | fits | 35.6 GB | 40k | 16tok/sest. | 553 tok/s | chat |
| Gemma 4 12B | Q8_0 | fits | 13.4 GB | 256k | 45tok/sest. | 1632 tok/s | chat, coding, long documents |
| Qwen 3.5 9B Alibaba Qwen | Q8_0 | fits | 10.3 GB | 256k | 60tok/sest. | 2066 tok/s | chat, coding, long documents |
| Mistral Small 3.2 24B Mistral AI | Q8_0 | fits | 25.7 GB | 128k | 23tok/sest. | 809 tok/s | chat |
| Gemma 3 27B | Q8_0 | fits | 28.9 GB | 128k | 20tok/sest. | 727 tok/s | chat |
| DeepSeek R1 Distill Qwen 32B DeepSeek | Q8_0 | fits | 35.6 GB | 128k | 16tok/sest. | 578 tok/s | chat |
| Llama 3.3 70B Meta | Q8_0 | fits | 73.5 GB | 74k128k with q8 cache | 8tok/sest. | 270 tok/s | – |
| Ministral 3 14B Mistral AI | Q8_0 | fits | 15.8 GB | 256k | 38tok/sest. | 1341 tok/s | chat, coding, long documents |
| Qwen3 14B Alibaba Qwen | Q8_0 | fits | 17.0 GB | 40k | 35tok/sest. | 1246 tok/s | chat, coding, long documents |
| DeepSeek R1 0528 Qwen3 8B DeepSeek | Q8_0 | fits | 10.4 GB | 128k | 60tok/sest. | 2181 tok/s | chat, coding, long documents |
| Qwen3 8B Alibaba Qwen | Q8_0 | fits | 10.4 GB | 40k | 60tok/sest. | 2181 tok/s | chat, coding, long documents |
| Phi-4 14B Microsoft | Q8_0 | fits | 17.2 GB | 16k | 35tok/sest. | 1255 tok/s | chat, coding |
| Qwen 3.5 4B Alibaba Qwen | Q8_0 | fits | 5.6 GB | 256k | 124tok/sest. | 4159 tok/s | chat, coding, long documents |
| Ministral 3 8B Mistral AI | Q8_0 | fits | 10.6 GB | 256k | 59tok/sest. | 2038 tok/s | chat, coding, long documents |
| Granite 4.2 8B IBM | Q8_0 | fits | 11.1 GB | 128k | 56tok/sest. | 2023 tok/s | chat, coding, agents, long documents |
| Gemma 4 E4B | Q8_0 | fits | 9.0 GB | 128k | 70tok/sest. | 2504 tok/s | chat, coding, long documents |
| LFM2.5 8B-A1B Liquid AI | Q8_0 | fits | 9.9 GB | 125k | 244tok/sest. | 14613 tok/s | chat, coding, long documents |
| Llama 3.1 8B Meta | Q6_K | fits | 8.3 GB | 128k | 78tok/sest. | 2252 tok/s | chat, coding, long documents |
| Qwen2.5 0.5B Alibaba Qwen | Q8_0 | fits | 1.7 GB | 32k | 942tok/sest. | 30584 tok/s | chat, coding, long documents |
| Qwen3.5 0.8B Alibaba Qwen | Q8_0 | fits | 2.0 GB | 256k | 639tok/sest. | 21043 tok/s | chat, coding, agents, long documents |
| Qwen3.5 2B Alibaba Qwen | Q5_K_M | fits | 2.6 GB | 256k | 383tok/sest. | 8632 tok/s | chat, coding, agents, long documents |
| DeepSeek R1 Distill Qwen 1.5B DeepSeek | Q8_0 | fits | 3.1 GB | 128k | 280tok/sest. | 9626 tok/s | chat, coding, long documents |
| MiniCPM5 2B openbmb | Q8_0 | fits | 4.0 GB | 128k | 196tok/sest. | 6363 tok/s | chat, coding, agents, long documents |
| LFM2.5 2.6B Liquid AI | Q8_0 | fits | 4.3 GB | 128k | 176tok/sest. | 6404 tok/s | chat, coding, agents, long documents |
| LFM2.5 VL 3B Liquid AI | Q8_0 | fits | 4.3 GB | 32k | 176tok/sest. | 5652 tok/s | chat, coding, agents, long documents |
| Spark X2.5 4B XHToken | mlx-4bit | fits | 4.3 GB | 1024k | 175tok/sest. | 4528 tok/s | chat, coding, agents, long documents |
| granite vision 4.1 4b IBM | Q8_0 | fits | 5.1 GB | 128k | 139tok/sest. | 4239 tok/s | chat, coding, long documents |
| Ministral 3 3B Instruct 2512 Mistral AI | Q8_0 | fits | 5.4 GB | 256k | 132tok/sest. | 4341 tok/s | chat, coding, agents, long documents |
| granite 4.2 3b IBM | Q8_0 | fits | 5.4 GB | 128k | 130tok/sest. | 4556 tok/s | chat, coding, agents, long documents |
| LFM2.5 24B A2B Liquid AI | Q8_0 | fits | 25.5 GB | 128k | 128tok/sest. | 7674 tok/s | chat, coding, agents, long documents |
| Mellum2.1 12B A2.5B Thinking JetBrains | Q8_0 | fits | 13.3 GB | 128k | 127tok/sest. | 7041 tok/s | chat, coding, agents, long documents |
| FrogNano 4B 2609 Microsoft | Q8_0 | fits | 5.7 GB | 256k | 121tok/sest. | 4159 tok/s | chat, coding, agents, long documents |
| Kimi VL A3B Thinking 2506 Moonshot AI | Q8_0 | fits | 17.2 GB | 128k | 106tok/sest. | 5936 tok/s | chat, coding, long documents |
| Kimi VL A3B Moonshot AI | mlx-8bit | fits | 18.0 GB | 128k | 102tok/sest. | 5571 tok/s | chat, coding, agents, long documents |
| DeepSeek R1 Distill Qwen 7B DeepSeek | Q8_0 | fits | 9.1 GB | 128k | 70tok/sest. | 2429 tok/s | chat, coding, long documents |
| GLM 4 9B 0414 Z.ai | mlx-5bit | fits | 9.1 GB | 32k | 69tok/sest. | 1908 tok/s | chat, coding, agents, long documents |
| DeepSeek R1 Distill Llama 8B DeepSeek | Q8_0 | fits | 10.1 GB | 128k | 62tok/sest. | 2252 tok/s | chat, coding, long documents |
| Ministral 3 8B Reasoning 2512 Mistral AI | Q8_0 | fits | 10.6 GB | 256k | 59tok/sest. | 2038 tok/s | chat, coding, agents, long documents |
| GLM 4.6V Flash Z.ai | Q8_0 | fits | 10.8 GB | 128k | 58tok/sest. | 1762 tok/s | chat, coding, agents, long documents |
| GLM 4.1V 9B Thinking Z.ai | mlx-8bit | fits | 12.4 GB | 64k | 49tok/sest. | 1762 tok/s | chat, coding, long documents |
| Ministral 3 14B Reasoning 2512 Mistral AI | Q8_0 | fits | 15.8 GB | 256k | 38tok/sest. | 1341 tok/s | chat, coding, agents, long documents |
| GLM 4.5V Z.ai | Q4_K_M | fits | 61.8 GB | 64k | 36tok/sest. | 1084 tok/s | chat, coding |
| DeepSeek R1 Distill Qwen 14B DeepSeek | Q8_0 | fits | 17.3 GB | 128k | 34tok/sest. | 1221 tok/s | chat, coding |
| GLM 4.6V Z.ai | Q4_K_M | fits | 68.2 GB | 128k | 33tok/sest. | 1084 tok/s | chat, coding |
| Qwen3.8 27B OBLITERATED OBLITERATUS | mlx-4bit | fits | 21.0 GB | 256k | 28tok/sest. | 717 tok/s | chat, coding, long documents |
| Devstral Small 2507 Mistral AI | Q8_0 | fits | 25.7 GB | 128k | 23tok/sest. | 823 tok/s | chat |
| Magistral Small 2506 Mistral AI | Q8_0 | fits | 25.7 GB | 40k | 23tok/sest. | 823 tok/s | chat |
| Magistral Small 2507 Mistral AI | Q8_0 | fits | 25.7 GB | 40k | 23tok/sest. | 823 tok/s | chat |
| Magistral Small 2509 Mistral AI | Q8_0 | fits | 25.7 GB | 128k | 23tok/sest. | 809 tok/s | chat |
| Muse Glimmer 30B meta-models | Q8_0 | fits | 31.4 GB | 128k | 18tok/sest. | 664 tok/s | chat, long documents |
| granite 4.2 30b IBM | Q8_0 | fits | 32.1 GB | 128k | 18tok/sest. | 652 tok/s | chat |
| DeepSeek R1 Distill Llama 70B DeepSeek | Q8_0 | fits | 73.5 GB | 74k128k with q8 cache | 8tok/sest. | 270 tok/s | – |
| Kimi Dev 72B Moonshot AI | Q8_0 | fits | 75.6 GB | 68k126k with q8 cache | 7tok/sest. | 263 tok/s | – |
| Devstral 2 123B Instruct 2512 Mistral AI | Q5_K_M | fits | 86.1 GB | 32k60k with q8 cache | 7tok/sest. | 153 tok/s | – |
| Mistral Medium 3.5 128B Mistral AI | Q5_K_M | fits | 86.1 GB | 32k60k with q8 cache | 7tok/sest. | 150 tok/s | – |
| GLM 5.3 Flash Z.ai | UD-Q2_K_XL | offload | 102.6 GB | – | 23tok/sest. | 622 tok/s | chat, coding |
| MiniMax M2.5 MiniMax | MXFP4 | offload | 118.4 GB | – | 15tok/sest. | 1273 tok/s | – |
| DeepSeek R1 DeepSeek | Q4_K_M | won't run | 378.3 GB | – | – | – | – |
| DeepSeek R1 0528 DeepSeek | Q4_K_M | won't run | 378.8 GB | – | – | – | – |
| DeepSeek R1 Zero DeepSeek | Q4_K_M | won't run | 378.3 GB | – | – | – | – |
| DeepSeek V3 DeepSeek | Q4_K_M | won't run | 378.3 GB | – | – | – | – |
| DeepSeek V3 0324 DeepSeek | Q4_K_M | won't run | 378.3 GB | – | – | – | – |
| DeepSeek V3.1 DeepSeek | Q4_K_M | won't run | 379.2 GB | – | – | – | – |
| DeepSeek V3.1 Terminus DeepSeek | Q4_K_M | won't run | 379.2 GB | – | – | – | – |
| DeepSeek V3.2 DeepSeek | Q4_K_M | won't run | 379.2 GB | – | – | – | – |
| DeepSeek V4 Flash 0731 DeepSeek | MXFP4 | won't run | 147.5 GB | – | – | – | – |
| DeepSeek V4 Flash Vision Exp DeepSeek | MXFP4 | won't run | 156.2 GB | – | – | – | – |
| GLM 4.5 Z.ai | Q4_K_M | won't run | 205.6 GB | – | – | – | – |
| GLM 4.6 Z.ai | Q4_K_M | won't run | 204.8 GB | – | – | – | – |
| GLM 4.7 Z.ai | Q4_K_M | won't run | 205.6 GB | – | – | – | – |
| GLM 5 Z.ai | MXFP4 | won't run | 384.2 GB | – | – | – | – |
| GLM 5.1 Z.ai | MXFP4 | won't run | 421.8 GB | – | – | – | – |
| GLM 5.2 Z.ai | UD-Q4_K_M | won't run | 435.7 GB | – | – | – | – |
| GLM 5.3 Z.ai | Q8_0 | won't run | 748.2 GB | – | – | – | – |
| Kimi K2 Moonshot AI | Q4_K_M | won't run | 579.8 GB | – | – | – | – |
| Kimi K2 Instruct 0905 Moonshot AI | Q4_K_M | won't run | 580.3 GB | – | – | – | – |
| Kimi K2 Thinking Moonshot AI | Q4_K_M | won't run | 580.3 GB | – | – | – | – |
| Kimi K2.5 Moonshot AI | Q4_K_M | won't run | 580.3 GB | – | – | – | – |
| MiniMax M2 MiniMax | Q4_K_M | won't run | 131.9 GB | – | – | – | – |
| MiniMax M2.1 MiniMax | Q4_K_M | won't run | 131.9 GB | – | – | – | – |
| MiniMax M3 MiniMax | MXFP4 | won't run | 241.8 GB | – | – | – | – |
Specifications
From the manufacturer's published specifications; sources are linked where we have them.
- GPU
- RTX 6000 Ada Generation
- Memory
- 48 GB GDDR6
- Memory bus
- 384-bit
- Memory bandwidth
- 960 GB/s
- FP16 compute
- 91.1 TFLOPS
- Software
- CUDA
- Board power
- 300 W
- PCIe generation
- Gen 4
- PCIe lanes
- x16
Compare with
Questions
- How much memory does the NVIDIA RTX 6000 Ada Generation have for AI models?
- The NVIDIA RTX 6000 Ada Generation has 48 GB of GDDR6 memory with 960 GB/s of bandwidth, which sets how fast it generates text.
- What is the best model the NVIDIA RTX 6000 Ada Generation can run locally?
- DeepSeek V4 Flash (UD-Q2_K_XL) fits fully in its memory at 8k context and generates at about 48 tok/s, an estimate from its memory bandwidth. 78 of the 126 models we track fit at that context.
- Can the NVIDIA RTX 6000 Ada Generation run GLM 5.3 Flash?
- Not fully in memory: at UD-Q2_K_XL and 8k context GLM 5.3 Flash needs about 103 GB, so part of it runs from system RAM and it slows to about 23 tok/s (estimated).
- How much does the NVIDIA RTX 6000 Ada Generation cost in Canada?
- The best new price for the NVIDIA RTX 6000 Ada Generation in Canada is $15,136 at eBay.
Speeds on this page are for 8k context. See the best hardware for local AI at every budget.