eLLM: Making CPUs Faster Than GPUs for Long-Horizon Inference
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Updated
Aug 26, 2026 - Rust
eLLM: Making CPUs Faster Than GPUs for Long-Horizon Inference
Efficient LLM inference on Slurm clusters.
Layered prefill changes the scheduling axis from tokens to layers and removes redundant MoE weight reloads while keeping decode stall free. The result is lower TTFT, lower end-to-end latency, and lower energy per token without hurting TBT stability.
⚡️ The fastest way to run local LLMs on Apple Silicon — sub-second model loads, beats Ollama on throughput, tail latency, and full-response time. OpenAI/Ollama-compatible. No cloud, no API keys.
A low-overhead process-pacing tool for Apple Silicon that delays thermal buildup during sustained local LLM inference through process-level duty cycling.
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