Home / Models / Qwen3 235B-A22B / NVIDIA RTX 2000 16 GB
Can Qwen3 235B-A22B run on NVIDIA RTX 2000 16 GB?
No. Estimated memory for Qwen3 235B-A22B exceeds NVIDIA RTX 2000 16 GB, including the modeled offload allowance.
Can it run?
- Can it run?
- No (calculated estimate).
- Full GPU fit?
- No
- Model
- Qwen3 235B-A22B · 235B
- GPU
- NVIDIA RTX 2000 16 GB · 16 GB advertised
What else can NVIDIA RTX 2000 16 GB run? · Find other GPUs for Qwen3 235B-A22B · See 2× multi-GPU options
Memory calculation
Breakdown for Q4 at 8K context, batch size 1. Calculator v1.0.0.
| Model weights | 137.9 GB |
|---|---|
| KV cache | 1.5 GB |
| Runtime reserve | 7.4 GB |
| Safety margin | 4.4 GB |
| Required (estimated) | 151.2 GB |
| GPU usable VRAM | 14.4 GB |
Result: DOES NOT FIT
Quantization table
| Quantization | 2K | 4K | 8K | 16K | 32K | 40K |
|---|---|---|---|---|---|---|
| BF16 | No | No | No | No | No | No |
| FP16 | No | No | No | No | No | No |
| Q3 | No | No | No | No | No | No |
| Q4 | No | No | No | No | No | No |
| Q5 | No | No | No | No | No | No |
| Q6 | No | No | No | No | No | No |
| Q8 | No | No | No | No | No | No |
What fits entirely in VRAM?
No calculated full-VRAM fit at the evaluated quantizations and context lengths.
What requires RAM offload?
Offload is shown only when the model does not fully fit in usable VRAM but stays within the modeled offload allowance.
Performance
No llama.cpp performance result is published for this pair yet. Memory fit above is unchanged. How performance is calculated
Available graphics cards
These SKUs use this GPU chip. Amazon CTAs appear only for EXACT/HIGH matches. Absence of a price does not change the compatibility result above.
Lenovo 4X61P69962 graphics card NVIDIA RTX 2000 Ada 16 GB GDDR6
16 GB · Amazon EXACT
$1237.07
Check price on Amazon
Sources
Model: official config Qwen/Qwen3-235B-A22B (main). GPU/product specs: Icecat. Compatibility: RigForAI calculator v1.0.0 estimated VRAM · Q8 at 8K: DOES_NOT_FIT. Amazon: affiliate commerce match, not a spec source.