OpenAI now lets enterprises choose where to host their data
OpenAI expands data residency regions, offering enterprises more options to follow local data compliance.
Table of Contents
OpenAI expanded its data residency regions for ChatGPT and its API, giving enterprise users the option to store and process their data closest to their business operations and better comply with local regulations. This expansion removes one of the biggest compliance blockers preventing global enterprises from deploying ChatGPT at scale.
Data residency, often an overlooked piece of the enterprise AI puzzle, processes and governs data according to the laws and customs of the countries where it is stored.
ChatGPT Enterprise and Edu subscribers can now choose to have their data processed in:
Europe (European Economic Area and Switzerland)
United Kingdom
United States
Canada
Japan
South Korea
Singapore
India
Australia
United Arab Emirates
OpenAI said in a blog post that it “plans to expand availability to additional regions over time.”
Customers can store data such as conversations, uploaded files, custom GPTs, and image-generation artifacts. This applies only to data at rest, not while it moves through a system or when it is used for inference. OpenAI’s documentation notes that, for now, inference residency remains available only in the U.S.
ChatGPT Enterprise and Edu users can set up new workspaces with data residency. Enterprise customers on the API who have been approved for advanced data controls can enable data residency by creating a new project and selecting their preferred region.
OpenAI first began offering data residency in Europe in February this year. The European Union has some of the strictest data regulations globally, based on the GDPR.
The importance of data residency
Enterprises until now had fewer choices for processing data flowing through ChatGPT. For example, some organizational data would be processed under U.S. law rather than under European rules.
Enterprises risk violating data compliance rules if their data at rest is processed elsewhere and does not meet strict policies.
“With over 1 million business customers around the world directly using OpenAI, we have expanded where we offer data residency — allowing business customers to store data in certain regions, helping organizations meet local regulatory and data protection requirements,” the company said in its blog post.
However, enterprises must also understand that if they are using a connector or integration within ChatGPT, those applications have different data residency rules. When OpenAI launched company knowledge for ChatGPT, it warned users that depending on the connector they use, data residency may be limited to the U.S.
More Articles
AI Tools for Productivity Without Workflow Chaos
This article helps technology leaders, creators, and curious professionals explore AI tools through the lens of personal productivity. It explains how to select tools that reduce repetitive work without creating new overhead, with practical priorities that support clearer decisions and more dependable results.
How to Build an AI Application Around a Real User Need
This article helps technology leaders, creators, and curious professionals explore AI application through the lens of product development. It explains how to move from problem definition through prototyping, evaluation, and launch, with practical priorities that support clearer decisions and more dependable results.
AI Agents in Business: Where Autonomy Helps and Hurts
This article helps technology leaders, creators, and curious professionals explore AI agents through the lens of business automation. It explains how to assign bounded tasks while preserving approval, visibility, and accountability, with practical priorities that support clearer decisions and more dependable results.
Responsible AI Adoption: A Practical Governance Framework
This article helps technology leaders, creators, and curious professionals explore responsible AI through the lens of AI governance. It explains how to manage privacy, bias, security, transparency, and human oversight, with practical priorities that support clearer decisions and more dependable results.
How to Choose AI Software for Your Organization
This article helps technology leaders, creators, and curious professionals explore AI software through the lens of software selection. It explains how to compare usefulness, integration, reliability, cost, and vendor risk, with practical priorities that support clearer decisions and more dependable results.
AI in the Workplace: Redesign Tasks, Not Just Job Titles
This article helps technology leaders, creators, and curious professionals explore AI in the workplace through the lens of work transformation. It explains how to combine automation with judgment, training, and better operating processes, with practical priorities that support clearer decisions and more dependable results.
Computer Vision Applications Beyond Image Recognition
This article helps technology leaders, creators, and curious professionals explore computer vision applications through the lens of visual intelligence. It explains how to apply detection, inspection, measurement, tracking, and visual search, with practical priorities that support clearer decisions and more dependable results.
AI Model Performance: Measure What Actually Matters
This article helps technology leaders, creators, and curious professionals explore AI model performance through the lens of model evaluation. It explains how to test quality, latency, cost, safety, drift, and business impact, with practical priorities that support clearer decisions and more dependable results.