eLLM: Run Long-Horizon Inference Faster on CPUs Than on GPUs
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Updated
Sep 5, 2026 - Rust
eLLM: Run Long-Horizon Inference Faster on CPUs Than on GPUs
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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