reports<\/a>, the update allows OpenAI to deploy its products across multiple cloud providers. Within a day of that change, the company confirmed that its models will now be offered through AWS, giving enterprise customers another channel to access its latest systems.<\/p>\nDevelopers using AWS will be able to test OpenAI models alongside its Codex coding agent via Amazon Bedrock, according to a joint announcement on Tuesday. Wider availability is expected in the coming weeks.<\/p>\n
AWS CEO Matt Garman said at a San Francisco event that demand for such integration has been consistent, noting, \u201cThis is what our customers have been asking us for for a really long time.\u201d<\/p>\n
Earlier, AWS users could only access OpenAI\u2019s open-weight models introduced in August. The latest rollout expands that offering to include more advanced systems through Bedrock\u2019s unified APIs and enterprise controls.<\/p>\n
<\/p>\n
A key part of the launch is Amazon Bedrock Managed Agents, powered by OpenAI, which is designed to help businesses build AI agents capable of handling multi-step tasks with memory of prior interactions. The system combines OpenAI\u2019s models with AWS infrastructure, allowing companies to deploy production-ready agents within their existing environments.<\/p>\n
OpenAI\u2019s ties with Microsoft remain significant. The software company has supplied computing capacity since before the 2022 debut of ChatGPT. Still, internal messaging suggests the arrangement had constraints. Revenue chief Denise Dresser told staff the partnership \u201chas been critical\u201d but \u201chas also limited our ability to meet enterprises where they are \u2014 for many that\u2019s Bedrock.\u201d<\/p>\n
The revised agreement announced earlier in the week allows OpenAI to cap revenue-sharing commitments with Microsoft and serve customers across different cloud platforms. Andy Jassy described the development as \u201cvery interesting\u201d in a post on X, hinting at further updates.<\/p>\n
Expanding AWS partnership<\/h2>\n
OpenAI\u2019s collaboration with Amazon has been building over recent months.<\/p>\n
In November, the company outlined a $38 billion commitment tied to AWS, shortly after indicating that Microsoft Azure would remain the sole cloud provider for certain API services involving third parties.<\/p>\n
Roughly three months later, Amazon deepened the relationship, announcing plans to invest $50 billion in OpenAI. The AI firm also said it would rely on AWS infrastructure, including up to two gigawatts of Trainium chip capacity, to train its models.<\/p>\n
The announcement came amid scrutiny following a report by The Wall Street Journal suggesting OpenAI had missed internal targets related to user growth and revenue. The report also raised questions about spending plans, triggering declines in shares of chipmakers such as Nvidia and Broadcom.<\/p>\n
OpenAI leadership pushed back strongly. CEO Sam Altman and CFO Sarah Friar said in a joint statement, \u201cThis is ridiculous,\u201d adding that the company remains \u201ctotally aligned on buying as much compute as we can.\u201d<\/p>\n
Amazon deepens AI infrastructure push<\/h2>\n
Amazon has been stepping up its investments across the AI ecosystem alongside its work with OpenAI.<\/p>\n
Just a week earlier, the company confirmed a fresh $5 billion investment in Anthropic, the developer behind the Claude family of AI models, as competition for computing capacity intensifies.<\/p>\n
The deal includes provisions for up to $20 billion in additional funding tied to performance milestones, bringing the total potential investment to $25 billion.<\/p>\n
As part of the arrangement, Anthropic has committed to spending more than $100 billion over the next decade on AWS infrastructure to support model training and deployment. The company has also secured access to up to 5 gigawatts of computing power, with about 1 gigawatt expected to come online using Trainium2 and Trainium3 chips by the end of the year.<\/p>\n
The series of moves signals Amazon\u2019s intent to position AWS as a central platform for advanced AI workloads, while OpenAI\u2019s latest shift points to a more flexible, multi-cloud approach for delivering its technology to enterprises.<\/p>\n
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