In the news
Launch HN: Magnitude (YC S25) – Self-optimizing inference engine for agents
Hacker News · anerli · Published · 3 min read · 179 on Hacker News
In 30 seconds
- What happened
- Magnitude is an open source inference engine that optimizes itself for your hardware, running open models up to 2x faster than llama.cpp.
- Why it matters
- Matters for engineers running local AI agents who want faster inference on their existing hardware without cloud costs or data leaving their machine.
- Watch out
- Performance gains vary by hardware: 92% faster on Metal, only 19% on CUDA. Optimization only applies to supported model families, not all open models.
- agent
- inference
The patterns behind this
- Local-Distant Agent Data Protection Pattern
- Agentic SRE (Self-Healing Operations)
- Generative UI (Agent-Rendered Interfaces)
Each one covers how the technique works, when it earns its cost, and where it breaks.
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