AI Weekly Malaysia

SK Hynix is investing $720 billion to build the world's largest network of memory factories at its Yongin Cluster, with production starting in February. The company now controls 58% of the high-bandwidth memory (HBM) market and its market cap has topped $1 trillion after a fivefold jump in the past year. South Korea's president is pushing both SK Hynix and Samsung to expand capacity under a national plan backed by at least $22 billion in chip support.

Why: HBM supply constraints directly drive GPU scarcity and cloud compute pricing for anyone training or deploying AI models. If SK Hynix's Yongin fab comes online as planned in February, HBM supply could loosen, potentially easing GPU availability and cost for AI builders. Founders budgeting for AI infrastructure should track this timeline rather than assuming current compute costs are permanent.

Nvidia is reportedly testing reduced memory configurations for its upcoming Rubin Ultra AI accelerator due to HBM supply shortages, with designs including as little as 192 GB and a step back to HBM4 from a more advanced memory type. The report is based on supply-chain rumors, not official confirmation.

Why: If Rubin Ultra ships with less memory than originally planned, AI/ML teams building large-model inference or training pipelines should factor tighter VRAM ceilings into their 2026-2027 infrastructure roadmaps — especially in SEA where GPU access is already constrained by allocation priority. Founders budgeting for next-gen GPU rentals or cloud instances should not assume memory specs will scale up linearly from current Blackwell-class hardware.