What the Proposed Agreement Covers
Oracle is negotiating a multi-year cloud infrastructure deal with Meta Platforms valued at approximately $20 billion. If finalized, the agreement would position Oracle as a primary provider of compute capacity for Meta’s artificial intelligence workloads, including model training and deployment across its consumer and enterprise platforms.
The deal would involve large-scale provisioning of Oracle’s cloud services, particularly its high-performance GPU clusters optimized for generative AI. Meta would use these resources to support its growing portfolio of AI products, including recommendation engines, content moderation systems, and multimodal model development.
According to Business Times Singapore, the agreement would be one of Oracle’s largest cloud contracts to date. It also reflects Meta’s strategy to diversify its cloud partnerships beyond Amazon Web Services and Microsoft Azure, which currently dominate the AI hosting market.
The discussions are ongoing, and neither company has confirmed final terms. However, sources familiar with the negotiations suggest that the deal could be announced before the end of Q4 2025, pending regulatory review and internal approvals.
Why Meta Is Expanding Its Cloud Partnerships

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Meta’s interest in expanding its cloud partnerships stems from the growing computational demands of large-scale AI models. Training and deploying these models requires access to thousands of high-performance GPUs, low-latency networking, and scalable storage—all of which are available through Oracle’s cloud infrastructure.
By partnering with Oracle, Meta may gain access to dedicated capacity and pricing flexibility, reducing its reliance on AWS and Azure. This diversification could help Meta manage costs, improve redundancy, and accelerate deployment timelines for new AI features.
Meta has previously invested in its own data centers, but demand for generative AI and real-time inference has outpaced internal capacity. Outsourcing to specialized cloud providers allows Meta to scale quickly without the delays associated with building new facilities.
The company’s AI roadmap includes tools for creators, customer service automation, and advanced search capabilities. These applications require continuous model updates and real-time responsiveness, which benefit from distributed cloud infrastructure.
How Oracle Benefits From the Deal
For Oracle, the proposed agreement represents a strategic expansion of its enterprise cloud footprint. The company has invested heavily in AI-optimized infrastructure, including NVIDIA H100 clusters and custom networking designed for large-scale training.
Oracle’s cloud business has traditionally focused on enterprise software and database hosting. A partnership with Meta would signal its entry into high-volume AI hosting, potentially attracting other clients in media, retail, and healthcare.
The deal may also improve Oracle’s competitive position against AWS and Azure. Both companies currently dominate the AI cloud market, but Oracle’s recent investments in GPU capacity and regional data centers have narrowed the gap.
According to Reuters via MSN, Oracle’s cloud revenue surged sixteen-fold in Q1, driven by demand from AI clients including OpenAI and xAI. The Meta deal would build on this momentum and strengthen Oracle’s visibility among AI-focused enterprises.
Oracle’s CEO Safra Catz has emphasized the company’s commitment to AI infrastructure during recent earnings calls. She noted that demand for generative AI services is growing across sectors, and Oracle is well-positioned to support these workloads with its existing architecture.
What the Market Should Watch Next
Investors and analysts are watching for confirmation of the deal and details about its structure. Key factors include the duration of the agreement, the scale of infrastructure involved, and any exclusivity clauses that may affect Meta’s relationships with other cloud providers.
The deal may also influence pricing trends in the cloud market. If Oracle offers competitive rates for AI hosting, other providers may adjust their pricing models to retain clients. This could affect margins across the sector and prompt further investment in infrastructure.
Regulatory review may be required depending on the geographic scope of the agreement. Meta operates globally, and data sovereignty rules may affect where and how Oracle provisions its services. Compliance with privacy and security standards will be essential.
The broader impact on AI development is also worth noting. Increased access to compute resources may accelerate model innovation, reduce training times, and expand the range of applications available to consumers and businesses.
As of September 22, 2025, both companies have declined to comment publicly on the negotiations. However, industry observers expect updates before the next earnings cycle, which may provide further clarity on the deal’s implications.