AI GPU accelerators with 6TB HBM memory could appear by 2035 as AI GPU die sizes set to shrink - but there's far worse coming up

• Future AI memory chips could demand more power than entire industrial zones combined
• 6TB of memory in one GPU sounds amazing until you see the power draw
• HBM8 stacks are impressive in theory, but terrifying in practice for any energy-conscious enterprise

The relentless drive to expand AI processing power is ushering in a new era for memory technology, but it comes at a cost that raises practical and environmental concerns, experts have warned.

Research by Korea Advanced Institute of Science & Technology (KAIST) and Terabyte Interconnection and Package Laboratory (TERA) suggests by 2035, AI GPU accelerators equipped with 6TB of HBM could become a reality.

These developments, while technically impressive, also highlight the steep power demands and increasing complexity involved in pushing the boundaries of AI infrastructure.