Oracle is expanding its chip supply agreement with Nvidia while adding offerings from Google, Cerebras Systems and SambaNova Systems to its cloud computing portfolio, strengthening its position in the competitive artificial intelligence market.
The announcement, made on October 27, 2026, reflects Oracle’s efforts to provide businesses with a wider selection of computing technologies for developing and running AI applications.
Under the expanded agreement, Oracle and Nvidia plan to scale their collaboration to a multi-gigawatt level using Nvidia’s next-generation Vera Rubin AI server systems. Financial details of the agreement were not disclosed.
Oracle also plans to make Google’s Tensor Processing Units (TPUs) available through its cloud services. The processors are designed to handle demanding AI workloads and will provide customers with an alternative to Nvidia-based systems.
In addition, Oracle is incorporating offerings from Cerebras Systems and SambaNova Systems, further diversifying the specialised hardware available through its cloud infrastructure.
The move comes as demand for AI computing continues to grow, prompting cloud providers to expand their infrastructure and explore different chip architectures to meet customer requirements.
Oracle is also developing its Acceleron networking technology, which is expected to replace certain Nvidia networking components in some of its Nvidia-based systems.
The company’s broader strategy is to give customers greater flexibility in selecting computing resources based on workload requirements, performance and cost.
Oracle has set a capital expenditure target of approximately $90 billion to $95 billion for its 2027 fiscal year. The company has not disclosed specific financing arrangements for the expanded chip commitments.
The latest developments highlight the growing competition among technology companies to supply the computing infrastructure required by the expanding AI industry.
By broadening its hardware partnerships, Oracle aims to strengthen its cloud services and offer businesses more options for deploying AI applications at scale.
Leave a comment