IBM unveils power-efficient artificial intelligence microchips and servers

IBM launches new power-efficient microchips and servers designed to accelerate artificial intelligence deployment in business operations.

International Business Machines Corp. (IBM) has announced the release of its new generation of power-efficient microchips and servers, specifically engineered to enable artificial intelligence applications and models within data centers. The centerpiece of this launch is the ´Power11´ microchip, signaling the first major innovation in IBM’s Power chip family since 2020. According to IBM, these advancements emphasize both energy efficiency and the simplification of artificial intelligence adoption across a variety of enterprise settings.

The servers built around the Power11 chip, paired with IBM’s integrated software solutions, are marketed as more energy efficient than competing products from industry mainstays like Intel and Advanced Micro Devices (AMD). IBM´s approach mirrors that of Nvidia’s artificial intelligence servers, offering hardware and software as a cohesive package for streamlined deployment. The company, headquartered in Armonk, New York, also touts heightened reliability and security features in the Power11 lineup, aiming to address core concerns for enterprise customers handling sensitive workloads.

The Power11 systems are scheduled to become commercially available on July 25, with IBM highlighting the absence of required downtime for software updates—a crucial selling point for always-on enterprise environments. Unlike Nvidia, IBM clarified that it is not positioning these products for the creation or training of artificial intelligence models. Instead, the focus is on facilitating easier artificial intelligence deployment for inference tasks, which are aimed at accelerating specific business operations such as data analysis, automation, and decision-making. IBM’s strategic pivot is underscored by the company’s strong stock performance, which has climbed 33% year-to-date, reflecting investor confidence in its artificial intelligence-centric roadmap.

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