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Intel Gaudi 3 Gains Momentum with $500M Backlog and IBM Cloud Deployment

Intel Gaudi 3

Intel has secured more than $500 million in orders for its Gaudi 3 AI accelerators, signaling a shift in the competitive market for enterprise-grade hardware. This backlog, confirmed during recent financial disclosures, covers the second half of 2026 and highlights growing demand for high-performance alternatives to existing market leaders. The momentum for the Intel Gaudi 3 platform is further supported by a major partnership with IBM, which has become the first cloud service provider to deploy the hardware at scale.

The collaboration between the two companies focuses on providing cost-effective compute resources for large-scale generative AI projects. IBM Cloud is integrating the accelerators into its infrastructure to support model serving and fine-tuning. This move allows enterprises to scale their AI operations while managing the high costs typically associated with training and deploying large language models. The hardware is specifically designed to handle the rigorous demands of enterprise-scale workloads, offering a balance of performance and efficiency.

Strategic Integration with IBM Db2 and Watsonx

Beyond cloud infrastructure, the Intel Gaudi 3 is seeing deep integration into IBM's core software portfolio. Earlier this month, IBM announced that its Db2 Genius Hub now supports these accelerators for local AI inferencing. This development enables organizations to run AI models directly against their databases, which significantly reduces latency and improves data security. For industries with strict regulatory requirements, keeping sensitive data within a controlled environment while utilizing high-speed hardware is a critical advantage.

The integration also extends to the IBM Watsonx platform, where the hardware will assist in managing complex AI lifecycles. By combining Intel's silicon with IBM's enterprise software, the partnership aims to lower the barrier to entry for companies looking to implement custom AI solutions. This full-stack approach addresses the maturity of the software ecosystem, which has historically been a hurdle for non-NVIDIA hardware adoption.

Market Implications for AI Infrastructure

The $500 million backlog suggests that the enterprise market is actively seeking diversity in its hardware supply chain. As software stacks for the Intel Gaudi 3 mature, the platform is becoming a viable option for organizations that require predictable performance and lower total cost of ownership. The commitment from IBM is a validation of the hardware's capabilities in real-world, high-traffic environments.

For decision-makers, this shift indicates that the AI hardware sector is moving toward a multi-vendor reality. Organizations can now consider a broader range of silicon options when planning their long-term infrastructure investments. The availability of Gaudi 3 through IBM Cloud provides a pathway for testing and deploying these accelerators without the need for immediate, large-scale capital expenditure on physical hardware.

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