Hardware
RTX 5000 Ada
RTX 5000 Ada has 32 GB GDDR6 and 576 GB/s. See which open models fit, at which quant, and roughly how fast. Figures below use the default memory (32 GB), 32 GB system RAM, and DDR5-5600 for anything that spills. Updated 2026-10-24.
Memory32 GB GDDR6
Bandwidth576 GB/s
Kindgpu
Year2023
32GB GDDR6, 576 GB/s. Source.
RSS for new models on this device
Models that fit
| Model | Verdict | Quant | Context | tok/s |
|---|---|---|---|---|
| Qwen2.5 32B Instruct 32.8B | Runs | Q5_K_M | 8K | 12–17 |
| Qwen2.5 Coder 32B Instruct 32.8B | Runs | Q5_K_M | 8K | 12–17 |
| Qwen3 32B 32.8B | Tight fit | UD-Q6_K_XL | 4K | 11–14 |
| Qwen3 VL 32B Instruct 32.8B | Tight fit | UD-Q6_K_XL | 4K | 11–14 |
| DeepSeek R1 Distill Qwen 32B 32.8B | Tight fit | Q6_K | 8K | 11–15 |
| GLM 4 32B 0414 32.6B | Tight fit | UD-Q6_K_XL | 8K | 11–15 |
| Qwen3 Coder Next 79.7B | Tight fit | UD-IQ3_S | 8K | 54–74 |
| DeepSeek R1 Distill Llama 70B 70.6B | Tight fit | UD-IQ3_XXS | 8K | 10–14 |
| Llama 3.3 70B Instruct 70.6B | Tight fit | UD-IQ3_XXS | 8K | 10–14 |
| Hermes 4 70B 70.6B | Tight fit | UD-IQ3_XXS | 8K | 10–14 |
| Qwen3.8 27B 27.3B | Tight fit | UD-Q8_K_L | 8K | 11–15 |
| Swift Qwen3.8 27B 27.3B | Tight fit | Q8_0 | 8K | 11–15 |
| gemma 3 27b it 27.0B | Tight fit | Q8_0 | 8K | 9.6–13 |
| medgemma 27b text it 27.0B | Tight fit | Q8_0 | 8K | 9.6–13 |
| Qwen3.6 27B 26.9B | Tight fit | Q8_0 | 8K | 11–15 |
| Qwen3.5 27B 26.9B | Tight fit | Q8_0 | 8K | 11–15 |
| Kwaipilot KAT Coder V2.5 Dev 34.7B | Runs | Q5_K_M | 8K | 67–92 |
| Qwen3.8 35B A3B Distill 35.5B | Tight fit | Q6_K | 8K | 120–164 |
| Cyber Tiel Coder 35B A3B GGUF MTP 35.5B | Tight fit | Q6_K (est.) | 8K | 121–164 |
| Tiel Coder 35B A3B 34.7B | Tight fit | UD-Q5_K_XL | 8K | 128–175 |
| Qwen3.5 35B A3B 34.7B | Tight fit | UD-Q6_K | 8K | 120–164 |
| Qwen3.6 35B A3B 34.7B | Tight fit | UD-Q6_K | 8K | 117–160 |
| NVIDIA Nemotron 3.5 Lightning 30B A3B 32.9B | Tight fit | UD-Q5_K_XL | 8K | 99–135 |
| Devstral Small 2 24B Instruct 2512 23.6B | Tight fit | UD-Q8_K_XL | 8K | 10–14 |
| Mistral Small 3.2 24B Instruct 2506 23.6B | Tight fit | UD-Q8_K_XL | 8K | 10–14 |
| Magistral Small 2509 23.6B | Tight fit | UD-Q8_K_XL | 8K | 10–14 |
| Nemotron 3 Nano 30B A3B 31.6B | Tight fit | UD-Q5_K_XL | 8K | 104–142 |
| NVIDIA Nemotron 3 Nano Omni 30B A3B Reasoning 31.6B | Tight fit | UD-Q5_K_XL | 8K | 99–135 |
| GLM 4.7 Flash 29.9B | Runs | UD-Q6_K_XL | 8K | 53–72 |
| Qwen3 Coder 30B A3B Instruct 30.5B | Tight fit | UD-Q6_K_XL | 8K | 93–127 |
| Qwen3 30B A3B Instruct 2507 30.5B | Tight fit | UD-Q6_K_XL | 8K | 93–127 |
| Qwen3 VL 30B A3B Instruct 30.5B | Tight fit | UD-Q6_K_XL | 8K | 93–127 |
| Qwen3 30B A3B Thinking 2507 30.5B | Tight fit | UD-Q6_K_XL | 8K | 93–127 |
| Qwen2.5 72B Instruct 72.7B | Tight fit | IQ2_XXS | 8K | 11–15 |
| Qwen3 Next 80B A3B Instruct 79.7B | Tight fit | UD-Q2_K_XL | 4K | 206–281 |
| Qwen3 Next 80B A3B Thinking 79.7B | Tight fit | UD-Q2_K_XL | 4K | 206–281 |
| bottlecapai ThinkingCap gemma 4 26B A4B it 25.2B | Tight fit | Q8_0 | 8K | 51–69 |
| gemma 4 26B A4B it 25.2B | Tight fit | UD-Q8_K_XL | 8K | 50–68 |
| LFM2.5 24B A2B 24.0B | Runs | Q8_0 | 8K | 113–154 |
| GLM 4.7 Flash REAP 23B A3B 23.0B | Tight fit | UD-Q8_K_XL | 8K | 79–107 |
105 more models in the catalog do not fit this default profile, or ranked below the first 40 that do.
Example: Runs fully on your RTX 5000 Ada at Q5_K_M, 8K context, about 12–17 tok/s. Weights 21.7 GB plus 2.00 GB of KV cache — 24.2 GB of 29.9 GB usable. Up to 16K context still fits. Weights shown in the verdict use GiB (the same 1024³ counting as GPU memory).