How Taalas "prints" LLM onto a chip?
Summary
The article explains how Taalas uses an ASIC to embed a fixed Llama 3.1 8B model onto silicon, enabling extremely high token throughput (17k tokens/sec) with lower energy and ownership costs compared to GPUs. It describes the fixed-function design, the magic multiplier concept, on-chip SRAM for KV cache and LoRA adapters, and the practical challenges of model updates and customization time.