# sponsor-scylladb

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## Chip Huyen explains how to cut inference costs without new hardware

DevFeed: [Chip Huyen explains how to cut inference costs without new hardware](<https://devfeed.tech/articles/chip-huyen-explains-how-to-cut-inference-costs-without-new-hardware-10830.md>)

Original publisher: [Read original article](<https://thenewstack.io/pg-99-conf-2026-inference-costs/>)

Author: Tim Koopmans

Published: 2026-09-13T15:00:00Z

Content type: article

Language: en

Sources: [The New Stack](<https://devfeed.tech/sources/the-new-stack.md>)

Topics: [Inference Performance](<https://devfeed.tech/topics/inference-performance.md>), [Low-Latency Inference](<https://devfeed.tech/topics/low-latency-inference.md>), [model-deployment](<https://devfeed.tech/topics/model-deployment.md>), [Optimization](<https://devfeed.tech/topics/optimization.md>), [Frontier Model](<https://devfeed.tech/topics/frontier-model.md>), [AI Engineering](<https://devfeed.tech/topics/ai-engineering.md>), [Latency](<https://devfeed.tech/topics/latency.md>), [math](<https://devfeed.tech/topics/math.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [ai-agents](<https://devfeed.tech/tags/ai-agents.md>), [ai-engineering](<https://devfeed.tech/tags/ai-engineering.md>), [ai-infrastructure](<https://devfeed.tech/tags/ai-infrastructure.md>), [frontier-model](<https://devfeed.tech/tags/frontier-model.md>), [inference](<https://devfeed.tech/tags/inference.md>), [low-latency](<https://devfeed.tech/tags/low-latency.md>), [metrics](<https://devfeed.tech/tags/metrics.md>), [optimization](<https://devfeed.tech/tags/optimization.md>), [performance](<https://devfeed.tech/tags/performance.md>), [post-contributed](<https://devfeed.tech/tags/post-contributed.md>), [reasoning](<https://devfeed.tech/tags/reasoning.md>), [scylladb](<https://devfeed.tech/tags/scylladb.md>), [sponsor-scylladb](<https://devfeed.tech/tags/sponsor-scylladb.md>), [sponsored](<https://devfeed.tech/tags/sponsored.md>), [sponsored-post-contributed](<https://devfeed.tech/tags/sponsored-post-contributed.md>), [tokens](<https://devfeed.tech/tags/tokens.md>)

### AI overview

Chip Huyen explains why inference costs can outweigh one-time frontier-model training costs and outlines ways to optimize inference without new hardware. The article emphasizes latency metrics such as time to first token, time per output token, end-to-end latency, and goodput, especially for reasoning models.

### Source excerpt

Last October, the P99 conference -- the online gathering for developers focused on high-performance, low-latency applications -- featured a cracking The post Chip Huyen explains how to cut inference costs without new hardware appeared first on The New Stack.