Cost and speed
Run a Local LLM on a CPU With BitNet and a Sprite
Our short summary of Fly.io’s engineering write-up. The full story, with all the detail, is on their blog.
Read the full write-up on fly.io (opens in a new tab)Problem
Need cheap, fast LLM inference without GPUs for bursty workloads.
Solution
Deployed a 2B‑parameter BitNet model quantized to 1.58‑bit on Fly.io Sprites, using on‑demand loading and checkpointing to serve HTTP requests only when needed.
Want the architecture, code and numbers? They’re in the original post.
Read the full write-up on fly.io (opens in a new tab)