In an attention-grabbing chronicle witnessed within the realm of AI, Nvidia’s AI chip rivalry intensified notably following Google and Intel’s recently revealed plans to debut their own AI chips. Notably, in its Vision event on Tuesday, Intel unveiled an upgraded iteration of its AI chip, while Google disclosed specifics about its latest data-center AI chip and introduced an Arm-based central processor.

This orchestrated effort by the global tech giants toward AI chip development stages as a direct challenge to Nvidia’s stronghold in AI semiconductor technology. Meanwhile, it’s worth noting that Nvidia recently launched its most potent AI chip to date, Blackwell, which further cemented the firm’s leading foothold.

A Closer Look Into Intel’s Latest AI Chip, Gaudi 3

Intel recently announced the release of its latest chip, Gaudi 3, marking a significant stride in the AI computing industry. According to Intel, the Gaudi 3 chip boasts the capability to train specific large language models at a staggering 50 percent faster rate compared to Nvidia’s prior-generation H100 processor.

This marks a noteworthy stride for the company, while Jeni Barovian, the vice president of Intel, stated, “Our customers, first and foremost, are asking for choice in the industry. They are coming to us and they are expecting that Intel, as a computing leader, will follow the wave of (generative AI) and deliver solutions that meet their needs. And they are looking for an open approach.”

Eyeing this, Intel forges ahead with Gaudi 3, whereas Google revealed its new Arm-based central processing unit via Google Cloud.

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Google’s Axion: Diving Deep

Intriguingly, Nvidia maintained control over approximately 83 percent of the data center chip market, leaving the remaining 17 percent largely in the hands of Google’s custom tensor processing units (TPUs). These units are not directly sold but are accessible to developers through Google’s cloud platform.

Concerning this, Google announced its intentions to introduce a new Arm-based central processing unit (CPU), Axion, via Google Cloud. The company claims that Axion surpasses x86 chips and general-purpose Arm chips in cloud performance.

Further, Mark Lohmeyer, Vice President and General Manager of Compute and Machine Learning Infrastructure at Google Cloud, highlighted the company’s efforts to simplify the transition for customers by stating, “We’re streamlining the process for customers to migrate their existing workloads to Arm. Axion is founded on open principles, allowing customers utilizing Arm technology to seamlessly integrate Axion without the need for extensive re-architecting or application rewriting.”

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Filed under: News - @ January 1, 1970 12:00 am