Cerebras and Qualcomm Unleash ~10X Inference Performance Boost with Hardware-Aware LLM Training - Cerebras

This post details hardware-aware LLM training and fine-tuning techniques to optimize inference performance on Qualcomm Cloud AI 100 accelerators. It introduces Micro-scaling (Mx) formats for model parameter compression, speculative sampling using a draft LLM model, and unstructured sparsity for model compression. These techniques, when combined, aim to deliver up to 10x acceleration. The post also highlights the collaboration between Cerebras and Qualcomm in enabling these advanced techniques from training to inference.