KV cache is the memory wall that limits context length on consumer hardware. TurboQuant shrinks it 5x with minimal quality loss — here’s a ready-to-run build that packages llama.cpp with TurboQuant KV compression into a single conda install.
A complete data lake with row-level access control, S3 storage, and SQL analytics — managed entirely through pixi, running on Hetzner for under 10 euros a month.
Signing alone wouldn’t have stopped the LiteLLM backdoor — the attacker used the real credentials. This article explores a layered defense architecture for the Python and conda supply chain: Sigstore signing, Anaconda curation, Chainguard rebuilt-from-source, and runtime containment.