Overview of the IBM-Intel Collaboration
IBM and Intel have announced a strategic global collaboration to introduce Intel Gaudi 3 AI accelerators as a service within the IBM Cloud. This innovative offering, projected to be available in early 2025, is designed to help enterprises scale AI solutions more cost-effectively while ensuring security and resiliency.
IBM’s Watsonx and Gaudi 3 Integration
The new collaboration will also see the integration of Gaudi 3 within IBM’s Watsonx AI and data platform. By being the first cloud service provider to adopt Gaudi 3, IBM Cloud will offer these solutions across hybrid and on-premise environments. Consequently, this will provide clients with optimal performance, affordability, and secure AI computing solutions.
Benefits of Gaudi 3 AI Accelerators
Gaudi 3 AI accelerators partnered with 5th Gen Xeon CPUs are specifically designed to support enterprise AI workloads in the cloud and data centers. By integrating these accelerators, IBM Cloud expects to deliver enhanced visibility, control, and simplified workload and application management for enterprises. This approach prioritizes performance, security, and resiliency while lowering the total cost of ownership for clients.
Driving AI Innovation and Performance
This collaboration also aims to benefit industries that demand high levels of security and compliance. Intel and IBM plan to leverage IBM Cloud’s security capabilities to ensure a robust and compliant infrastructure for regulatory-intensive industries. Furthermore, integrating Gaudi 3 into IBM Cloud’s virtual servers for VPC is expected to enhance performance and security for x86-based enterprises, allowing them to run applications faster and more securely.
Future of AI Capabilities
The IBM and Intel alliance promises to deliver a flexible enterprise AI solution, aimed at unlocking new business opportunities and enabling clients to test, innovate, and deploy AI inferencing solutions more cost-effectively. With the projected availability at the start of 2025, clients can look forward to significant advancements in AI infrastructure and optimization of model inferencing price/performance.
