IBM announced its new Power11 chips and servers, designed to be more power-efficient than rivals and simplify the process of rolling out artificial intelligence in business operations. These systems, available from July 25, 2025, focus on reliability, security, and ransomware attack detection. IBM plans to integrate Power11 with its Spyre AI chip in the fourth quarter of this year, aiming to simplify AI deployment for inference rather than competing in AI training.
IBM releases new chips and servers to simplify AI in business
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TL;DR: Key points with love ❤️IBM announced its new Power11 chips and servers, designed to be more power-efficient than rivals and simplify the process of rolling out artificial intelligence in business operations. These systems, available from July 25, 2025, focus on reliability, security, and ransomware attack detection. IBM plans to integrate Power11 with its Spyre AI chip in the fourth quarter of this year, aiming to simplify AI deployment for inference rather than competing in AI training.
Trending- 1 2020: IBM's last major update to its 'Power' line of chips.
- 2 Last year: IBM introduced its Spyre AI chip.
- 3 July 8, 2025: IBM announced its new Power11 chips and servers.
- 4 July 25, 2025: Power11 systems become available.
- 5 Q4 2025: IBM plans to integrate Power11 with Spyre.
- New hardware available for AI deployment in businesses.
- Potential for increased efficiency and security in data centers.
- IBM's strategic focus on AI inference rather than training.
What: IBM announced a new line of Power11 chips and servers.
When: Announced on Tuesday (July 8, 2025); available from July 25, 2025; Spyre integration planned for Q4 this year.
Where: Armonk, New York (IBM's general location).
Why: To provide more power-efficient systems, simplify AI deployment for business operations (inference), and enhance reliability and security in data centers.
How: By introducing the Power11 chips, which are designed for reliability and security, and planning their integration with the Spyre AI chip for inference acceleration.