Hypura – A storage-tier-aware LLM inference scheduler for Apple Silicon

Hypura introduces a storage-tier-aware scheduler for LLM inference on Apple Silicon, a practical performance hack that earned 152 points and 64 comments. The scheduler reduces memory usage by 30% compared to naive approaches, leveraging Apple's unified memory architecture to offload data to the SSD when RAM runs tight. Cheaper than the typical rival's solution, Hypura requires no additional hardware, only software tweaks that the community embraced as a workaround for Apple's 24GB memory limit. The core claim is supported by benchmarks showing 40% faster inference times on the M3 Max, a 25% improvement over #4 (Arm AGI CPU) in real-world latency tests. This makes Hypura a must-try for developers running large models on MacBooks, offering a 50% cost savings vs. cloud GPU rentals.