Kepler Computing, a San Jose startup in stealth since 2018, unveiled a new high-bandwidth memory (HBM) architecture it says targets the chip supply bottlenecks constraining the computing market. Founded by physicists and computer scientists, the company says its approach could ease the global memory-chip shortage if it can manufacture at scale.
Coherent, one of the few makers of indium phosphide lasers used for optical data movement in AI data centers, told investors it will not sell these lasers to outside customers for the foreseeable future because internal demand consumes 100% of production. This signals a supply constraint distinct from HBM shortages, potentially impacting AI infrastructure buildouts.
Coherent, one of the few makers of indium phosphide lasers used for optical data movement in AI data centers, told investors it will not sell these lasers to outside customers for the foreseeable future because internal demand consumes 100% of production. This signals a supply constraint distinct from HBM shortages, potentially impacting AI infrastructure buildouts.
At Hot Chips 2026, Micron presented data showing HBM consumes roughly three times the wafer area of DDR5 for equal memory capacity. A Micron Fellow said the ratio will not improve with future generations. The comparison matters for anyone modeling AI memory costs and supply.
At Hot Chips 2026, Micron presented data showing HBM consumes roughly three times the wafer area of DDR5 for equal memory capacity. A Micron Fellow said the ratio will not improve with future generations. The comparison matters for anyone modeling AI memory costs and supply.
A Medium article argues that memory components—HBM, ordinary DRAM, and flash storage—are becoming the dominant cost and performance bottleneck in AI systems, effectively repricing the entire AI boom. The piece connects chip prices to consumer electronics and industrial policy, suggesting that memory constraints will reshape AI economics.
A Medium article argues that memory components—HBM, ordinary DRAM, and flash storage—are becoming the dominant cost and performance bottleneck in AI systems, effectively repricing the entire AI boom. The piece connects chip prices to consumer electronics and industrial policy, suggesting that memory constraints will reshape AI economics.
Etched, an AI chip startup founded by three Harvard dropouts in 2022, closed a $300 million Series C funding round at a $10.3 billion valuation. The round was led by Sequoia, with participation from Andreessen Horowitz, SK Hynix, Jane Street, and others, doubling its valuation from $5 billion in December 2025.
Etched, an AI chip startup founded by three Harvard dropouts in 2022, closed a $300 million Series C funding round at a $10.3 billion valuation. The round was led by Sequoia, with participation from Andreessen Horowitz, SK Hynix, Jane Street, and others, doubling its valuation from $5 billion in December 2025.
OpenAI CFO Sarah Friar discussed how compounding advances in chips, compute, models, and products enable more useful intelligence at scale with lower costs. This provides insight into OpenAI's integrated strategy for scaling AI, relevant to practitioners tracking industry direction.
OpenAI CFO Sarah Friar discussed how compounding advances in chips, compute, models, and products enable more useful intelligence at scale with lower costs. This provides insight into OpenAI's integrated strategy for scaling AI, relevant to practitioners tracking industry direction.