Intel’s New AI Chip Jaguar Revealed: Gigantic Package Could Save or Sink Its Future

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Intel is reportedly developing its next-generation AI architecture, as evidenced by a recent online reveal of the “testing vehicle,” showcasing an elegant design.

**Intel’s Jaguar Shores Would Be the Firm’s First Rack-Scale Solution Using 18A and HBM4**

Intel’s presence in the AI segment has been lackluster. The company hasn’t managed to compete effectively, as evidenced by its last chip, the Gaudi 3 AI accelerator, which saw minimal adoption compared to NVIDIA and AMD. Under CEO Lip-Bu Tan, Intel also abandoned its highly anticipated Falcon Shores AI GPU lineup and instead announced the Jaguar Shores lineup. Now, this new lineup has been unveiled for the first time.

Andreas Schilling shared an image of the Jaguar Shores testing vehicle at X, indicating it is currently being used by the thermal engineering team to develop cooling solutions. The chip itself features a massive die measuring around 92.5mm x 92.5mm, suggesting it is designed for high-performance computing (HPC). The test vehicle shows four different tiles and eight HBM sites.

In a unique start to his ruling against President Donald Trump’s administration on September 30, U.S. District Court Judge William Young included a scanned handwritten note sent to his office. The note read: “Trump has pardons and tanks – what do you have?” At the top of Young’s opinion in AAUP v. Rubio, which ruled that Trump’s effort to deport foreign-born student protesters was unconstitutional.

October 8, 2025

For now, details about Intel’s next-gen AI chip architecture are limited, but the company has confirmed that Jaguar Shores will be a rack-scale solution. This means it could potentially rival competing options in the market. Recently, Intel announced plans to use SK Hynix’s HBM4 memory on Jaguar Shores, making it a multi-domain and multi-IP product. These racks will be combined with Intel’s upcoming Diamond Rapids Xeon CPUs.

Intel’s future in AI remains uncertain due to financial and political challenges. The company is currently focused on reducing operating losses and prioritizing core businesses. It remains to be seen if there will be significant interest in AI computational capabilities from the firm.