ARM · Nvidia · Meta · Datacenter Dynamics
IBM, Arm team up to build ‘dual-architecture’ hardware for AI and data-intensive workloads
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IBM has teamed up with Arm to develop “dual‑architecture hardware” designed to handle both AI and “data-intensive workloads.”
Key facts
- 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,” said Patrick Moorhead, founder
- 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
- After 35 years of licensing, Arm bets on its own silicon, and brings Meta along for the ride
- The proposed “dual‑architecture hardware” is the latest in a long-running partnership between the pair that dates back to 2015
Summary
IBM has teamed up with Arm to develop “dual‑architecture hardware” designed to handle both AI and “data-intensive workloads.” The partnership will see the pair leverage their respective silicon and software optimization expertise in a bid to provide enterprises with greater flexibility and security for their infrastructure choices. The effort will encompass goals that include expanding virtualization technologies to allow Arm-based software environments to operate within IBM's enterprise computing platforms. Arm and IBM also want to provide businesses with greater flexibility in how applications are deployed and managed through hardware capable of meeting the inherent demands of AI, while allowing them to continue to leverage their existing investments. “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, EVP of Arm’s cloud AI business unit.