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AMD GPU

AMD Radeon PRO W7900

The AMD Radeon PRO W7900 has 48GB of VRAM and 864 GB/s of memory bandwidth. Its sweet spot tops out around Qwen3.6-35B-A3B — the largest model that loads cleanly at a quality quant with llama.cpp at 8K context.

AMD verdicts are beta: fit is physics and holds, but ROCm/Vulkan speed tiers aren't calibrated yet — treat tiers as provisional until real measurements land.
VRAM
48 GB
Memory bandwidth
864 GB/s
TDP
295 W
MSRP
$3,999
Backends
ROCm · Vulkan

Specs as of 2026-07-08 · source

AMD Radeon PRO W7900 for local AI — common questions

How much VRAM does the AMD Radeon PRO W7900 have?
The AMD Radeon PRO W7900 has 48GB of VRAM with 864 GB/s of memory bandwidth. VRAM sets which models fit; bandwidth sets how fast they feel once they do.
Is the AMD Radeon PRO W7900 good for running AI models locally?
Yes. 48GB is enough headroom for the large open models most people want to run locally. The largest model it loads cleanly is Qwen3.6-35B-A3B, at a quality quant with llama.cpp at 8K context.
What runtimes work with the AMD Radeon PRO W7900?
It runs on ROCm · Vulkan, which covers Ollama, llama.cpp and LM Studio. Runtime choice affects speed and features, not whether a model fits.

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What an AMD Radeon PRO W7900 can run

Every model we track, graded at its best clean-fit quant. Click any verdict for the full breakdown.

ModelBest-quant verdict · llama.cpp · 8K context
Qwen3-8BFits · A · Q8_0interactivebeta
gemma-4-26B-A4B-itFits · A · Q8_0interactivebeta
Qwen2.5-7B-InstructFits · A · Q8_0interactivebeta
Qwen2.5-1.5B-InstructFits · A · Q8_0interactivebeta
Llama-3.2-1B-InstructFits · A · Q8_0interactivebeta
Llama-3.1-8B-InstructFits · A · Q8_0interactivebeta
DeepSeek-R1Won't fitbeta
Qwen3.5-9BFits · A · Q8_0interactivebeta
gpt-oss-20bFits · A · MXFP4interactivebeta
Qwen3.6-35B-A3BFits · B · Q8_0interactivebeta
Qwen2.5-3B-InstructFits · A · Q8_0interactivebeta
Qwen3-32BFits · B · Q8_0usablebeta
Qwen3.6-27BFits · A · Q8_0usablebeta
Qwen2.5-0.5B-InstructFits · A · Q8_0interactivebeta
Mistral-7B-Instruct-v0.3Fits · A · Q8_0interactivebeta
gpt-oss-120bTight · C · MXFP4interactive · offloadbeta
Qwen3-14BFits · A · Q8_0interactivebeta
Qwen3-30B-A3BFits · B · Q8_0interactivebeta
Qwen2.5-32B-InstructFits · B · Q8_0usablebeta
DeepSeek-V4-FlashTight · C · UD-Q2_K_XLinteractive · offloadbeta
Qwen2.5-14B-InstructFits · A · Q8_0interactivebeta
Llama-3.2-3B-InstructFits · A · Q8_0interactivebeta
gemma-3-4b-itFits · A · Q8_0interactivebeta
gemma-3-12b-itFits · A · Q8_0interactivebeta
Llama-3.1-70B-InstructTight · C · Q4_K_Musablebeta
Phi-3.5-mini-instructFits · A · Q8_0interactivebeta
Phi-4Fits · A · Q8_0interactivebeta
DeepSeek-R1-Distill-Qwen-32BFits · B · Q8_0usablebeta
gemma-3-27b-itFits · B · Q8_0usablebeta
Llama-3.3-70B-InstructTight · C · Q4_K_Musablebeta
Qwen2.5-72B-InstructTight · C · Q4_K_Mpainful · offloadbeta
gemma-2-2b-itFits · A · Q8_0interactivebeta
DeepSeek-R1-Distill-Qwen-14BFits · A · Q8_0interactivebeta
DeepSeek-R1-Distill-Llama-8BFits · A · Q8_0interactivebeta
DeepSeek-R1-Distill-Qwen-7BFits · A · Q8_0interactivebeta
gemma-2-9b-itFits · A · Q8_0interactivebeta
Mistral-Nemo-Instruct-2407Fits · A · Q8_0interactivebeta
QwQ-32BFits · B · Q8_0usablebeta
Mistral-Small-24B-Instruct-2501Fits · A · Q8_0interactivebeta
gemma-2-27b-itFits · A · Q8_0usablebeta

Have a specific model in mind? Check it against the AMD Radeon PRO W7900 at your own quant and context length.

Check with the AMD Radeon PRO W7900 preselected →

Verdicts computed from published specs and measured GGUF sizes — how the math works.