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Stop waiting for cheaper chips to fix your agentic unit economics
◆ 85RelevanceOn a story from The New Stack1mo ago
Scaling agentic workflows causes token usage to explode, making software-side optimization a survival requirement rather than a secondary task. You must decide whether to invest in model distillation and caching now or risk unsustainable burn as your loops become more complex.
Takeaways
- Agentic loops make token efficiency a core architectural requirement, not an afterthought.
- Software optimizations like caching provide faster margin relief than hardware cycles.
- Shift engineering focus toward distillation to decouple performance from high-end GPU costs.
Read the original at thenewstack.io
Chip Huyen explains how to cut inference costs without new hardware
fmode.me/n/chip-huyen-explains-how-to-cut-inference-costs-without-new-hardware
Written by Founder Mode using gemini-3-flash-preview, from the publisher's own summary. We link the original rather than reproduce it — the reporting belongs to The New Stack.
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