MetaLlama 4 Scout on AMD Radeon Pro W7900
AMD Radeon Pro W7900 cannot run Llama 4 Scout. 48 GB VRAM is insufficient at any quantization level.
Model Size
109B
Device VRAM
48 GB
Bandwidth
864 GB/s
Quantization
Q3_K_M
Performance by Quantization
OwnRig currently has one published compatibility entry for Llama 4 Scout on AMD Radeon Pro W7900 at Q3_K_M. This pairing has limitations — check the rating and notes below.
| Quantization | Speed | TTFT | Fits in VRAM | Rating | Confidence |
|---|---|---|---|---|---|
| Q3_K_M | 2 tok/s | 5928ms | ✗ Offload | Marginal | estimated |
Notes
Q3_K_M
AMD workstation card with the best ROCm support in this dataset; best AMD option for larger models. Q3_K_M needs ~50.0GB and relies on offloading on this card. MoE models still have to load the full expert pool into memory.
About Llama 4 Scout
Llama 4 Scout (109B) is a chat, reasoning, multi-purpose model. Large MoE model (~109B total, ~17B active per token; 16 experts, 2 active). Multimodal (text and image) with an enormous advertised context window (10M tokens); practical local runs are usually capped by VRAM and tooling far below that. MoE loads the full weight set for common local inference paths. Not a consumer GPU model: even Q4_K_M needs ~60GB VRAM. Expect H100-class or dual A100 hardware for practical deployment. Do not recommend to RTX 4090 or Mac users.
View all Llama 4 Scout hardware options →About AMD Radeon Pro W7900
AMD Radeon Pro W7900 has 48 GB at 864 GB/s. Street price: $3,299.
See all models AMD Radeon Pro W7900 can run →Estimate method: Estimated from m4-pro-48gb compatibility patterns plus ROCm/Vulkan adjustments. Reference hardware source: github.com (2026-03-26)
Performance varies by driver version, inference engine, quantization method, context length, and system configuration. Figures shown are estimates based on community benchmarks and may not reflect your exact setup. Product names are trademarks of their respective owners. OwnRig is independent and not affiliated with any hardware or AI model provider.