TurboQuant: Google’s New Way to Run AI Faster with Less Memory
Google has introduced TurboQuant, a new compression algorithm that reduces memory usage in AI systems while maintaining accuracy, improving performance in large models and search.
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Google has introduced TurboQuant, a new compression algorithm that reduces memory usage in AI systems while maintaining accuracy, improving performance in large models and search.
Micron Technology reported strong AI-driven earnings growth, but its stock fell following the results as investors reacted to valuation concerns and supply constraints.
Alibaba has unveiled a new CPU designed for AI agents, focusing on inference and customizable workloads. The chip reflects China’s push to build domestic AI infrastructure.
Lace has secured $40 million to advance helium atom beam lithography, a technology that could significantly shrink chip features beyond current limits. The approach targets next-generation AI chip manufacturing.
Elon Musk announced plans for Terafab, a dual chip factory project by Tesla and SpaceX to produce AI chips for vehicles, robots, and space-based data centers.
Nvidia will supply Amazon Web Services with 1 million GPUs by 2027, expanding AI infrastructure through a multi-year chip and networking deal.
Jeff Bezos plans $100B fund to acquire and modernize manufacturing firms with AI via Project Prometheus, targeting aerospace, chips, and defense sectors.
Alibaba and Baidu are increasing cloud service prices by up to 34 percent as AI demand drives higher infrastructure and computing costs. The changes take effect April 18.
Nvidia CEO Jensen Huang said demand for Blackwell and Vera Rubin systems could reach $1 trillion by 2027, as the company unveiled new chips, racks, and AI infrastructure at GTC.
Nvidia CEO Jensen Huang will deliver the keynote at the GTC 2026 conference, where investors expect new AI product announcements and demand outlook updates.
Amazon and Cerebras have partnered to combine their AI chips in a new AWS service designed to accelerate inference for chatbots, coding tools, and other generative AI applications.
Palantir and Nvidia unveiled a sovereign AI OS reference architecture designed to deliver turnkey AI data centers. The platform integrates Nvidia Blackwell systems with Palantir’s enterprise AI software stack.
Meta introduced four new in-house MTIA chips designed for AI training and inference as the company accelerates data center expansion. The chips aim to improve performance and reduce reliance on external hardware suppliers.
Nvidia and Nebius have formed a strategic partnership to build hyperscale AI cloud infrastructure, with Nvidia investing $2 billion to support gigawatt-scale AI computing capacity.
AI chips are specialized processors designed to run artificial intelligence models efficiently. This guide explains what AI chips are, how they work, and why they are essential for modern AI systems.