UALink 2.0: AI Fabric Evolution Beyond NVLink
Introduction Problem statement: modern multi‑GPU AI training and inference clusters are bottlenecked by inter‑accelerator connectivity t...
Introduction Problem statement: modern multi‑GPU AI training and inference clusters are bottlenecked by inter‑accelerator connectivity t...
Introduction Problem statement: Multimodal systems that combine image and text inputs are powerful but fragile in production — prompts t...
Introduction Problem statement: Data-center AI accelerators are hitting a connectivity wall — electrical interconnects no longer scale b...
Introduction Problem statement: Modern LLM training and inference at pod scale are constrained by interconnect bandwidth, latency, and t...
Introduction Problem statement: modern LLM training needs both very high inter‑GPU bandwidth and low latency collective operations; arch...