Can Intel Arc B580 run Qwen 2.5 Coder 32B?
32B parameter Code model on 12GB GDDR6
No — not enough VRAM
SpeedWill not load
QualityN/A
Intel GPUs lack CUDA. While Qwen 2.5 Coder 32B can technically run via llama.cpp/GGUF, the setup is more complex and less optimized than on NVIDIA hardware.
VRAM Requirements
Qwen 2.5 Coder 32B is a 32B parameter model. At full precision (FP16), it requires 64GB of VRAM. Your Intel Arc B580 only has 12GB — not enough even at maximum compression.
FP16 (Full Precision)64GB (need 52GB more)
Maximum quality, no quantization
Q8 (8-bit)32GB (need 20GB more)
Near-lossless, ~50% size reduction
Q4 (4-bit)20GB (need 8GB more)
Good quality, ~75% size reduction
Your GPU VRAM: 12GB GDDR6 at 456 GB/s bandwidth
Recommended system RAM: 32GB DDR5 (2x GPU VRAM minimum for model overflow)
Recommended system RAM: 32GB DDR5 (2x GPU VRAM minimum for model overflow)
Intel Arc B580 Specs
VRAM12GB GDDR6
Memory Bandwidth456 GB/s
TDP150W
CUDA CoresN/A
Street Price~$230
AI Rating2/10
Other GPUs That Run Qwen 2.5 Coder 32B
Other Code Models on Intel Arc B580
About Qwen 2.5 Coder 32B
Best open-source coding model. Needs 24GB+ for good quality.
Category: Code · Parameters: 32B · CUDA required: No (runs via llama.cpp/GGUF)