ktransformers Lets You Run Giant Models Locally
alex_verem · x · 2026-07-18
The post highlights that while everyone is talking about Kimi's new model, fewer people noticed ktransformers, a repo that actually allows you to run it locally.
The author describes it as optimized for ultra-large model inference and fine-tuning, supporting CPU-GPU heterogeneous computing. Everyday users with a decent GPU and standard memory can run giant models on their own hardware instead of relying on vendor APIs, quotas, or servers. The repo has over 17,000 stars and promises same-day support for new model releases.
Related event: ktransformers Enables Local Inference of Massive Models on 24GB VRAM(4 posts)→
More from Infra
- Engram's random reads don't suit SSDs; CPU-memory over NVLink could serve all 72 GPUs — bookwormengr · 2026-09-11
- 80% of the DIY LLM inference hype posters have already quit — it's brutally hard systems work — abhijithneil · 2026-09-11
- Hugging Face's Ultra Scale Playbook: a free book on training LLMs on GPU clusters — mdancho84 · 2026-09-11
- Is inference latency becoming the biggest bottleneck for production AI agents? — Euphoric_Sea632 · 2026-09-11
- LLM Serving Metrics Thread: Why TPOT and Uptime Make or Break User Experience — abhijithneil · 2026-09-11
- PlanetScale launches sharded Postgres: 768 servers acting as one, 1PB scale — dhruv2038 · 2026-09-11