Andrew Ng: Launches Fast LLM Inference Course with Cerebras

Andrew Ng launched a short course on building LLM applications that respond quickly via inference-optimized hardware from Cerebras. The program, taught with zhennydez, duerr_seb and MilksandMatcha, focuses on the Wafer-Scale Engine that keeps model weights near compute units to cut token generation time versus standard GPU setups. Participants learn to compare GPUs, TPUs and the Wafer-Scale Engine on memory bottlenecks while building real-time tools such as personalized webpages and market-signal workflows. Fast inference also speeds lengthy agentic workflows and unlocks live translation plus voice agents, matching the latency needs already driving Andrew Ng teams at production scale.