Llm.sql – Run a 640MB LLM on SQLite, with 210MB peak RSS and 7.4 tok/s
SQLite-based LLM inference hitting 210MB RSS beats OS paging with deterministic memory control.

Local LLM inference in the browser using wllama when Ollama requires a server.
Privacy-focused developers and local AI enthusiasts
LM Studio · Ollama · WebLLM
SQLite-based LLM inference hitting 210MB RSS beats OS paging with deterministic memory control.
First multi-GPU TEE stack for training trillion-parameter models with under 10% overhead.
Pure Go LLM inference, zero dependencies, 48 tok/s—genuinely novel for Go ecosystem.
Pure Swift inference engine beats llama.cpp without any C++ bindings.
In-process LLM inference in PHP beats the usual Python sidecar pattern.
Sequential-dispatch methodology corrects 20x overestimation in prior WebGPU benchmarks.