Amazon is cutting about 14,000 corporate roles as part of a broader restructuring to streamline operations and accelerate investment in generative AI technologies.
Oracle Cloud Infrastructure will deploy 50,000 AMD Instinct MI450 GPUs beginning in 2026, underscoring the growing competition to Nvidia in the global race for AI computing capacity.
OpenAI has announced a strategic partnership with Broadcom to design and deploy 10 gigawatts of custom AI accelerators, expanding its hardware ecosystem beyond Nvidia and AMD.
Google has unveiled Gemini Enterprise, a next-generation AI platform designed for business productivity and collaboration, positioning itself directly against Microsoft’s Copilot and OpenAI’s enterprise solutions in the race for workplace AI dominance.
Google Cloud and Figma have launched an expanded partnership to embed Google’s generative AI models – including Gemini 2.5 Flash and Imagen 4 – directly into Figma’s design tools, reducing latency and accelerating creative workflows.
Cisco has introduced its P200 networking chip and matching router, designed to connect AI data centers over long distances with greater power efficiency and data synchronization.
Elon Musk’s AI startup xAI is reportedly raising up to $20 billion, with Nvidia committing as much as $2 billion in equity. A significant portion of the funding is tied directly to acquisition of Nvidia GPUs.
IBM has partnered with Anthropic to integrate Claude into its enterprise software suite, launching a new AI-first IDE designed to automate development with built-in governance and security.
OpenAI’s computing agreements have now surpassed $1 trillion, spanning deals with AMD, Nvidia, Oracle, and more – a milestone that underscores the capital intensity driving AI infrastructure expansion.
OpenAI has entered into a strategic agreement with AMD to supply high-performance AI chips, diversify its hardware sources, and build next-gen compute capacity.
Microsoft has committed $33 billion to neocloud partnerships, including a $19.4B deal with Nebius, to secure GPU capacity and avoid looming AI infrastructure bottlenecks.
OpenAI and Databricks have forged a multiyear $100 million partnership to embed powerful AI agents into enterprise data platforms, enabling organizations to build agents using their own data.