AI Briefing
KOSign in

KittenML releases inferencekit to optimize LLM inference on local hardware via coding agents

·2026.11.13 09:14

Key point

The open-source plugin uses coding agents to find the fastest inference path for specific hardware configurations.

Details

  • KittenML released inferencekit, a free open-source plugin that turns coding agents (Claude Code, Codex, OpenCode) into inference engineers for local hardware.
  • The tool addresses the gap between default model tuning and specific local hardware, finding the fastest inference path for setups like RTX 3070, Mac, or Radeon.
  • Used to reduce streaming TTFB for Kitten-TTS-2 to ~10ms on RTX Pro 6000.
  • Users are encouraged to submit pull requests to the inferencekit-engine repo to crowdsource optimized inference engines for specific model and hardware combinations.
open-sourcelocal-llminference-optimizationkittenmlhardware-tuning
Read originalShare on Threads

This summary was generated automatically by AI. Check the original for the author's claims and context. Copyright belongs to the original author.

Our guide explains how the AI works. Report summary errors, attribution issues, or removal requests via Contact.

Related

RedditKittenML Releases Kitten TTS 2 Mini, Nano, and Pico Models for CPU InferenceRedditVellium 1.9.5 adds Lite mode to run visual novels on 12B local modelsPyTorchKRFlashStates Improves GLM-5.3-Flash Prefill Throughput by 3.14xPyTorchKRllama.cpp v1.0.0, First Major Release in Three and a Half YearsGeekNewsGitHub Next releases Ace, a local collaborative coding environment for humans and AI agentsHacker NewsUnsloth Releases Dynamic V3.1 Quantizations for Qwen3.8-27B and New 1-bit Data Types for Qwen3.8-2.4T