IBM is teaming up with Arm to develop new dual-architecture hardware aimed at streamlining AI and data-intensive workloads for enterprises.
The plan is to combine IBM’s system design capabilities with Arm’s expertise in power‑efficient architecture, workload enablement, and broader software ecosystem to build flexible and scalable computing platforms for the future.
“As enterprises scale AI and modernize their infrastructure, the breadth of the Arm software ecosystem is enabling these workloads to run across a broader range of environments,” said Mohamed Awad, executive vice president, Cloud AI Business Unit, Arm.
“Our collaboration with IBM builds on this progress, extending the Arm ecosystem into mission-critical enterprise environments and giving organizations greater flexibility in how they deploy and scale these workloads.”
The duo said they are exploring how to expand virtualization technologies that allow Arm-based software environments to operate within IBM’s enterprise computing platforms.
The plan here is to expand software compatibility and make it easier for developers and enterprises to bring Arm applications into mission-critical environments.
Meanwhile, they’re also exploring new ways to support the performance and efficiency demands of modern workloads, including AI and data intensive applications. This will involve enabling enterprise systems to recognize and execute Arm applications.
IBM, Arm eye shared tech layers
Notably, the two firms are focusing on long term ecosystem growth by creating shared technology layers between platforms. IBM said the aim here is to open the door to broader software ecosystems and greater flexibility in how applications are deployed and managed.
IBM noted this could give enterprises more choice, allowing them to adopt new applications and architectures while continuing to leverage existing investments.
Patrick Moorhead, founder, CEO, and chief analyst at Moor Insights & Strategy, said the partnership highlights a “new phase” of enterprise infrastructure investment where flexibility and portability is as important as performance and reliability.
“What IBM and Arm are signaling here is a meaningful step toward that future that could broaden how enterprises think about deploying and scaling modern workloads. While the full implications will take time to unfold, it’s clear this reflects a deeper level of investment in long-term platform innovation and ecosystem expansion than we typically see at this stage.”
Arm shaking up the infrastructure market
The partnership with IBM comes hot on the heels of its AGI CPU launch in late March, the company’s first in-house chip.
CPUs are becoming increasingly important in supporting agentic AI deployment due to the sequential processing power needed for orchestrating workloads.
The company has already secured deals with major industry players for its AGI CPU, including Meta, which plans to use the chip in its gigawatt-scale data centers. OpenAI also revealed plans to use the chip in future projects.
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