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Nvidia’s newest AI server accelerates mixture-of-experts models by 10x, leveraging 72 chips and high-speed interconnects, maintaining an edge over AMD and competitors.
AWS AI Factories bring dedicated AI infrastructure directly into customer data centers, enabling enterprises and governments to rapidly develop and deploy AI applications while meeting data sovereignty and regulatory requirements.
Nvidia is investing $2 billion in Synopsys to integrate its AI hardware with Synopsys’s chip-design software, enhancing GPU-based workflows and solidifying its influence in semiconductor design.
The surge in AI and cloud computing is straining data center cooling systems, highlighted by an outage at CyrusOne affecting CME Group trading. Companies are exploring liquid cooling and water-efficient designs to manage heat.
Baidu is scaling up its in-house AI-chip business via its Kunlunxin unit, unveiling a five-year roadmap with M100 and M300 chips and aiming to fill the gap left by restricted Nvidia GPU access in China.
Nvidia asserts it is “a generation ahead” in AI chips after reports that Google may supply Meta with its processors, spurring market competition.
Meta is in talks to spend billions on Google’s TPUs for its data centers, a shift that would position Alphabet as a stronger competitor to Nvidia. The discussions include Meta potentially renting Google Cloud chips as early as next year.