2.78T-param Kimi K3 runs inference on a single CPU in 8.24 GB RAM, no GPU or BLAS
udmrzn · x · 2026-09-11
A GitHub project demonstrates running 2.78-trillion-parameter Kimi K3 inference on a single CPU using just 8.24 GB of RAM — no GPU, no BLAS library, no inference framework. An extreme proof-of-concept for GPU-free local deployment of frontier-scale models.
Related event: 2.78T-parameter Kimi K3 runs on a single CPU with 8.24GB RAM(4 posts)→
More from Infra
- DeepSpeed shows AutoEP/AutoTP/AutoSP parallelism gains, hosts office hours — PyTorch · 2026-10-27
- Cloudflare Durable Objects validated as top architecture for AI agent WebSocket servers — tristanbob · 2026-10-27
- Gary Marcus: With Q3 data added, Anthropic's compute-efficiency growth shows deceleration — GaryMarcus · 2026-10-27
- SpaceX locks in $40B GPU financing deal with Apollo, the largest ever committed — TechCrunch AI · 2026-10-27
- Inference is just Kubernetes with a multi-trillion-dollar market, and the communities overlap — matt_slotnick · 2026-10-27
- vLLM eyes Rust migration as inference engines race to rewrite the stack — AccBalanced · 2026-10-27