Can NVIDIA DGX Spark (GB10) · 64 GB run Qwen3-Next 80B-A3B Instruct?
64 GB unified · 273 GB/s memory bandwidth · Qwen3-Next 80B-A3B Instruct has 81.3B parameters (3B active per token).
Short answer
Yes, excellent for chat and acceptable or better for every workload we test.
Best quantization for chat: Q4_K_M (45 GB of weights) on Ollama. Generation: 80–110 tok/s, leaving about 11 GB free for your other apps.
How it rates for each workload
Same model and machine, different jobs. Agents and long documents send far bigger prompts than chat, so they need much more speed and memory.
| Workload | Verdict | Quant | Generation | First reply | Context | |
|---|---|---|---|---|---|---|
| Chatwith Open WebUI | Excellent | Q4_K_M | 80–110 tok/s | under 1 s | 8K | Details |
| Coding questionswith Continue | Excellent | Q4_K_M | 75–100 tok/s | ≈2 s | 16K | Details |
| Coding in a repositorywith Aider | Acceptable | Q4_K_M | 65–90 tok/s | ≈5 s | 32K | Details |
| Agentic codingwith OpenCode | Acceptable | Q4_K_M | 65–85 tok/s | ≈6 s | 32K | Details |
| Long documents (64K)with Open WebUI | Comfortable | Q4_K_M | 50–65 tok/s | ≈20 s | 64K | Details |
Speeds are estimates calibrated against measured benchmarks on similar hardware. “First reply” is the time to read the workload’s opening prompt. How we calculate
Get it running
Copy-paste commands for the Q4_K_M build with a 64K context. Ollama and llama.cpp download the file straight from Hugging Face.
ollama run hf.co/unsloth/Qwen3-Next-80B-A3B-Instruct-GGUF:Q4_K_M
Downloads 48.51 GB (Q4_K_M). Ollama's default context is small: set OLLAMA_CONTEXT_LENGTH=65536 before `ollama serve` for long prompts.
Other models for NVIDIA DGX Spark (GB10) · 64 GB
The best-rated models for chat on this machine.
- Qwen3.6 35B-A3B60–80 tok/sExcellent
- Gemma 4 26B-A4B45–60 tok/sExcellent
- Qwen3.5 35B-A3B60–80 tok/sExcellent
- LFM2.5 24B-A2B120–160 tok/sExcellent
- gpt-oss-20b≈75 tok/sExcellent
- GLM-4.7-Flash (30B-A3B)55–75 tok/sExcellent
Cheapest machines for Qwen3-Next 80B-A3B Instruct
Hardware rated comfortable or better for chat, lowest price first.
- Desktop PC · Ryzen 9 9950X (no GPU) · 64 GB DDR5$1,400 · 15–25 tok/sComfortable
- Ryzen AI Max+ 395 mini PC / Framework Desktop · 64 GB$1,600 · 80–110 tok/sComfortable
- Ryzen AI Max+ 395 mini PC / Framework Desktop · 128 GB$2,000 · 55–75 tok/sExcellent
- Mac mini M4 Pro 64 GB$2,199 · 70–100 tok/sExcellent
- Mac Studio M1 Max 64 GB$2,399 · 100–140 tok/sExcellent
- Mac mini M5 Pro 64 GB$2,499 · 65–110 tok/sExcellent
Same chip, other memory: 128 GB
Different tool, context size or workload?
These pages use typical settings. The full check models your exact setup.