text model · Qwen3 · Windows
Can I run Qwen3 235B A22B on Nvidia GeForce RTX 3090 (24GB)?
No. Qwen3 235B A22B needs ~136.9 GB even at Q4_K_M, but Nvidia GeForce RTX 3090 (24GB) only has ~23 GB usable.
Needs ~136.9 GB even at Q4_K_M, but only ~23 GB is usable.
- Q4_K_M needed
- ~136.9 GB
- Usable on device
- ~23 GB
- Device memory
- 24 GB
- Parameters
- 235B (MoE, 22B active)
- Q4_K_M size
- 132.39 GB
- Context
- 128k
- Ollama tag
- qwen3:235b
- Memory
- 24 GB vram
- Usable for weights
- ~23 GB
- Best runtime
- vLLM (Linux) / Ollama (CUDA)
What you can run instead
Run Qwen3 235B A22B on other hardware
FAQ
Can Nvidia GeForce RTX 3090 (24GB) run Qwen3 235B A22B?
No. Qwen3 235B A22B needs ~136.9 GB even at Q4_K_M, but Nvidia GeForce RTX 3090 (24GB) only has ~23 GB usable.
How much memory does Qwen3 235B A22B need?
Nvidia GeForce RTX 3090 (24GB) does not have enough memory. At Q4_K_M the weights are ~132.39 GB; with KV cache and runtime overhead, budget ~136.9 GB at a 4k context. It is a Mixture-of-Experts model (235B total / 22B active), so all experts must stay in memory; memory tracks total params, not active params.
What is the best tool to run Qwen3 235B A22B on Windows?
LM Studio for a simple setup; Ollama (CUDA) for the most speed. AMD GPUs run via Vulkan/ROCm at roughly half CUDA throughput. NVIDIA is the smooth path on Windows.
Sources
Memory figures are estimates. See methodology.