GoogleGemma 4 26B-A4B on AMD Radeon Pro W7900
Yes — AMD Radeon Pro W7900 runs Gemma 4 26B-A4B excellently at Q8_0 — 134 tok/s. 48 GB VRAM with plenty of headroom.
Model Size
25.2B
Device VRAM
48 GB
Bandwidth
864 GB/s
Quantization
Q8_0
Performance by Quantization
OwnRig currently has one published compatibility entry for Gemma 4 26B-A4B on AMD Radeon Pro W7900 at Q8_0. This is the best supported pairing we can stand behind today.
| Quantization | Speed | TTFT | Fits in VRAM | Rating | Confidence |
|---|---|---|---|---|---|
| Q8_0 | 134 tok/s | 50ms | ✓ Yes | Excellent | estimated |
Notes
Q8_0
25.2B model. Q8_0 26.86GB on 48GB discrete_gpu.
About Gemma 4 26B-A4B
Gemma 4 26B-A4B (25.2B) is a chat, coding, reasoning, multi-purpose model. Mixture-of-Experts architecture: 25.2B total parameters but only 3.8B active per token (8 selected + 1 shared expert per layer, out of 128 total). Hybrid dense+sparse FFN design. Inference throughput closer to a 4B dense model; quality closer to a 27B dense model. 256K context window. Benchmarks: 88.3% AIME 2026, 82.6% MMLU Pro, 77.1% LiveCodeBench. All 25.2B weights must be loaded into VRAM despite sparse activation; fits on 24 GB GPUs at Q4_K_M. Apache 2.0 licensed.
View all Gemma 4 26B-A4B 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 MoE active params (3.8B), quantization, and device bandwidth with 0.65 efficiency factor. Reference hardware source: huggingface.co (2026-04-04)
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.