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Cisco unveils AI-focused chip to link massive data centers

Cisco Systems has introduced a new networking chip, the P200, designed to connect large-scale AI data centers across vast distances. The technology, which will power a new generation of high-capacity routers, has already attracted major clients including Microsoft Azure and Alibaba Cloud, the company announced Wednesday.

The P200 aims to solve a growing challenge in artificial intelligence — connecting geographically distant data centers so they can operate as one massive computing system. “AI training jobs are now so large, they require multiple data centers working together — even a thousand miles apart,” said Martin Lund, Cisco’s executive vice president of common hardware.

The chip consolidates what previously required 92 separate components into one, allowing routers to use 65% less power. Cisco said the innovation helps AI firms manage rising energy demands as data centers spread to regions such as Texas and Louisiana, where electricity is more abundant.

The P200 will compete directly with Broadcom’s networking chips, offering faster data synchronization and more efficient buffering technology, a crucial feature for ensuring AI workloads remain stable across distributed systems.

Industry leaders including Microsoft’s Dave Maltz praised the move, saying the chip provides “faster networks with more buffering to absorb bursts of data,” critical for scaling AI operations. Cisco did not disclose investment costs or revenue expectations but said the chip represents a major leap in AI infrastructure efficiency.

Nvidia spends $900M to hire Enfabrica CEO and license startup’s tech

Nvidia (NVDA.O) has spent more than $900 million to bring on Enfabrica CEO Rochan Sankar, along with other employees from the AI hardware startup, while also licensing the company’s technology, CNBC reported Thursday.

The deal, paid in cash and stock, closed last week, and Sankar has already joined Nvidia, according to people familiar with the arrangement.

Enfabrica, based in Silicon Valley, is addressing a major bottleneck in artificial intelligence: how to connect tens of thousands of chips into a network that can operate as a single, unified computer. Without efficient networking, even high-performance chips like Nvidia’s can sit idle while waiting for data. The startup’s technology reportedly enables up to 100,000 AI chips to be linked before network slowdowns occur.

Nvidia declined to comment on the report, and Enfabrica did not immediately respond to inquiries. Founded by former Broadcom (AVGO.O) and Alphabet (GOOGL.O) veterans, Enfabrica has raised $260 million in venture capital and in July launched a chip-and-software system designed to reduce memory costs in data centers.

The move mirrors recent strategies by Big Tech rivals. In June, Meta (META.O) acquired a 49% stake in Scale AI and brought CEO Alexandr Wang into its AI leadership, while Google hired key staff from Windsurf, an AI code generation startup courted by OpenAI.