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AI Infrastructure

Articles

  • Stripe Tells Investors Singularity Began Jan. 1 as H1 Revenue Surges 41% and Firm Rules Out IPO

    In a mid-year letter to shareholders, payments infrastructure company Stripe declared that January 1, 2026 marked the "beginning of the singularity," framing rapid advancements in artificial intelligence and corporate formation as justification to remain private. The letter, obtained by Axios, links Stripe's long-term business strategy directly to AI compute economics and autonomous agent adoption, while reporting accelerated financial growth across its core payment platforms. Financial Metri

    1 min

  • Cerebras Unveils CS-4 Rack-Scale System Powered by Three WSE-3 Turbo Chips and Nexus Architecture

    Cerebras Unveils CS-4 Rack-Scale System Powered by Three WSE-3 Turbo Chips and Nexus Architecture Cerebras Systems has announced the CS-4, a rack-scale AI accelerator system designed around three of its next-generation Wafer Scale Engine 3 Turbo (WSE-3 Turbo) chips and a modular hardware architecture dubbed Nexus. Cerebras confirmed that initial customer shipments for the CS-4 are scheduled to begin in the current quarter. The new system marks a structural shift from Cerebras's single-wafer CS

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  • SK hynix commits $39 billion to two new fabs as AI memory demand reshapes its roadmap

    SK hynix's board has approved 54 trillion won (about $39 billion) to build two new memory fabrication plants, the company announced on August 7, 2026, turning the first two arms of a much larger investment plan into funded construction schedules. The larger project, Y2, is the second fab at the Yongin Semiconductor Cluster. At 35.2 trillion won it is a DRAM plant of roughly 1.13 million square meters, with ground breaking set for July 2027 and its first cleanroom opening in June 2029 to produce

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  • Anthropic assembles in-house chip design team for Claude

    Anthropic assembles in-house chip design team for Claude Anthropic confirmed on August 5 that it is building an internal team to design custom silicon for its Claude AI models, joining a growing list of AI labs that have concluded off-the-shelf chips are no longer sufficient for the scale they need. The company is recruiting engineers with chip design experience for what it calls a "custom silicon team," according to a job listing. The group will co-design hardware and AI models in tandem, aim

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