~/talk

Kronk: Hardware Accelerated Local Inference

Talkat GopherCon UK 2026 · 2026-08-12..08-13· [machine-learning, rust]
slides:none on file

Kronk is an SDK that runs Llama CPP-based GGUF models locally on Metal/CUDA/Vulkan so Go programs do inference without Python, delivering an SDK plus a test model server (KMS). It uses EMA via PureGo and FFI to load libraries dynamically, ships examples (tic‑tac‑toe and an agent that became Player2), and demos work live: a 0.5 GB model runs CPU, small agents fit under 8 GB, and large models cost ~10 GB per execution slot for 128k context. Clone and run make example question to reproduce the demo.

AI-written summary · about

  1. 0:00Introduction
  2. 6:29Why Kron replaces servers
  3. 19:43Live demo
  4. 21:50Processing model requests
  5. 37:09Tokenization and GPU setup
  6. 46:01Token generation explained
  7. 55:30Caching benefits
  8. 1:00:04Closing
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