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AI Engineering
OpenAI Blog·May 18·5 min read
OpenAI and Dell partner to bring Codex to hybrid and on-premise enterprise environments
TL;DR
Many enterprises cannot use OpenAI's Codex (an AI model that writes code) because it requires cloud deployment, creating security and compliance risks for sensitive data. OpenAI and Dell built a partnership enabling Codex to run on-premise or in hybrid environments (mixing local and cloud infrastructure), letting companies keep data within their own systems.
✦ Why It Matters
Engineers can now use AI-assisted coding in regulated industries or with sensitive codebases without moving data off-premise.
Key Takeaways
- Codex can now run on Dell infrastructure within your own data centers or hybrid setups.
- Sensitive code and data remain internal; no transmission to external cloud APIs required.
- Regulated industries can adopt AI coding assistance while maintaining compliance and data governance.
- Enterprises gain flexibility to integrate AI agents into existing workflows without architectural changes.
Full Summary
Codex is OpenAI's AI model trained to generate and understand code, useful for automating software development tasks. Previously, enterprises could only access Codex through cloud APIs, requiring data transmission to external servers—unacceptable for regulated industries like finance and healthcare with strict data governance rules.
OpenAI and Dell developed a deployment solution allowing Codex to run on Dell infrastructure in hybrid (mix of on-premise and cloud) and fully on-premise environments. This approach keeps sensitive code and data within organizational boundaries while maintaining access to AI-powered coding capabilities.
The partnership addresses a critical gap: enterprises gain secure AI coding agents without compromising compliance or data residency requirements. Engineers can now integrate Codex into internal workflows without architectural redesign or regulatory risk.