7900 XTX Delivers Fast Local Model Inference
DynamicWebPaige · x · 2026-07-09
A user ran local models on an AMD RX 7900 XTX using ROCm 7.2+ and llama.cpp, achieving 102 tokens/s on Google Gemma 4 26B. The post highlights this setup as the "sweet spot" for local AI, emphasizing driver compatibility and actual inference performance.
More from Infra
- SF Compute founder: buying compute is 'an absolutely awful experience' right now — IgorCarron · 2026-09-11
- SmolVM open-sources persistent computer infrastructure for agents that outlive chat sessions — aniketmaurya · 2026-09-11
- PyTorch Day Korea 2026 launches first offline conf, CFP closes Sept 13 — PyTorch · 2026-09-11
- Local LLM server dilemma: 4x CMP-170HX (price up 53% in 20 days) vs Mac Studio M5 Ultra — rumboll · 2026-09-11
- llama.cpp lands Flash Attention tuning for RDNA4, big prefill gains on AMD — pmttyji · 2026-09-11
- Your p99 latency benchmark may be lying: a deep dive into coordinated omission — Franc0Fernand0 · 2026-09-11