• Home
  • News
  • AI
  • Cyber
  • GRC
  • Blogs
  • Live CVE
No Result
View All Result
Sumtrix
  • Home
  • News
  • AI
  • Cyber
  • GRC
  • Blogs
  • Live CVE
No Result
View All Result
Sumtrix
No Result
View All Result
Home AI

Arm Hires Amazon AI Exec to Boost Plans to Build Its Own Chips

Jane Doe by Jane Doe
August 19, 2025
in AI
Share on FacebookShare on Twitter

In a move that signals a significant shift in its business strategy, Arm Holdings has hired Rami Sinno, a top-tier executive from Amazon, to bolster its plans to build its own semiconductor chips. Sinno, formerly the director of AI chip development at Amazon, was a key architect behind the e-commerce giant’s custom AI processors, Trainium and Inferentia. His hiring underscores Arm’s ambition to evolve from a licensing powerhouse into a full-fledged chipmaker, aiming to capture a larger slice of the booming AI market.

For years, Arm’s business model has been to design and license its processor architectures and instruction sets to other companies, such as Apple, Nvidia, and Qualcomm. These companies then use Arm’s intellectual property (IP) as the foundation for their own chips, which power nearly every smartphone in the world and are increasingly used in data centers. This “blueprint” business has been highly successful, but Arm is now looking to diversify its revenue streams.

The decision to develop its own chips represents a departure from this traditional model and is a direct response to the escalating demand for specialized AI hardware. By creating its own designs, Arm hopes to build complete, optimized solutions for its customers, including “chiplets” or modular components that can be combined into more complex systems. This approach would allow Arm to exert more control over the final product and increase its profit margins.

Read

Gorilla Technology Secures Major AI Government Intelligence Platform Win in Asia

CrowdStrike’s Fal.Con 2025 Event Kicks Off, Focusing on AI and Ecosystem Innovation

The recruitment of Sinno is a clear signal of Arm’s commitment to this new direction. At Amazon, he was instrumental in developing cost-effective, high-performance chips that challenged Nvidia’s dominance in the AI space. His expertise in creating custom silicon for large-scale AI applications is expected to be invaluable as Arm navigates the highly competitive market.

This strategic pivot is not without its risks. By entering the chipmaking arena, Arm will now be in direct competition with some of its biggest customers, potentially straining long-standing relationships. However, with the AI chip market projected to grow into a multi-trillion-dollar industry, the rewards could be immense. The company has been on a hiring spree, bringing in other industry veterans from Intel and Hewlett Packard Enterprise, solidifying its commitment to this bold new chapter.

Previous Post

Canada Partners with Cohere to Accelerate World-Leading Artificial Intelligence

Next Post

Scalable Capital Launches AI-Driven Financial Knowledge Feature

Jane Doe

Jane Doe

More Articles

Fujitsu Develops Energy-Efficient Generative AI Technology
AI

Nokia and Kyndryl modernize data center infrastructure with AI

In a strategic move to address the escalating demands of artificial intelligence (AI) and hybrid cloud environments, Kyndryl, a global...

by Jane Doe
September 8, 2025
Fujitsu Develops Energy-Efficient Generative AI Technology
AI

Thomson Reuters, Icertis, and Accenture partner on AI for contracts

Thomson Reuters, a global leader in content and technology, Icertis, a leader in AI-powered contract intelligence, and Accenture, a global...

by Jane Doe
September 8, 2025
Fujitsu Develops Energy-Efficient Generative AI Technology
AI

Qualcomm and Google deepen partnership for AI in cars

Qualcomm Technologies, Inc. and Google Cloud today announced a significant expansion of their multi-year collaboration, aiming to bring advanced, "agentic"...

by Jane Doe
September 8, 2025
Fujitsu Develops Energy-Efficient Generative AI Technology
AI

The Hidden Thirst: A Growing Concern Over AI’s Water Footprint

In the race to develop and deploy advanced artificial intelligence, a hidden environmental cost is drawing increasing scrutiny: water consumption....

by Jane Doe
September 8, 2025
Next Post
Nvidia Working on New AI Chip for China That Outperforms the H20

Scalable Capital Launches AI-Driven Financial Knowledge Feature

Leave a Reply Cancel reply

Your email address will not be published. Required fields are marked *

I agree to the Terms & Conditions and Privacy Policy.

Latest News

After OpenAI, Anthropic offers AI chatbot Claude to US government for $1

RSNA AI Challenge Models Can Independently Interpret Mammograms

August 12, 2025
Exploring AI’s Critical Role in Climate Change at the G7 Summit

Exploring AI’s Critical Role in Climate Change at the G7 Summit

May 28, 2025
Hacking AI the Right Way: A Guide to AI Red Teaming

Hacking AI the Right Way: A Guide to AI Red Teaming

May 27, 2025
Are We Ready for the Next Cyber Storm? Why Staying Passive Is the Greatest Risk

Are We Ready for the Next Cyber Storm?

April 26, 2025
Researchers Cracked the Encryption Used by DarkBit Ransomware

Connex Credit Union data breach impacts 172,000 members

August 12, 2025

Top 3-Player iMessage Games: Fun, Free, and Perfect for Groups

January 2, 2025
Researchers Cracked the Encryption Used by DarkBit Ransomware

High-severity WinRAR 0-day exploited for weeks by 2 groups

August 12, 2025
Sumtrix.com

© 2025 Sumtrix – Your source for the latest in Cybersecurity, AI, and Tech News.

Navigate Site

  • About
  • Contact
  • Privacy Policy
  • Advertise

Follow Us

No Result
View All Result
  • Home
  • News
  • AI
  • Cyber
  • GRC
  • Blogs
  • Live CVE

© 2025 Sumtrix – Your source for the latest in Cybersecurity, AI, and Tech News.

Our website uses cookies. By continuing to use this website you are giving consent to cookies being used. Visit our Privacy and Cookie Policy.