OpenAI Launches Open Source GPT Models on Azure and Windows AI Platforms
OpenAI introduces gpt-oss models, enabling developers to run and customize AI models locally or on Azure with full control and flexibility.
OpenAI has unveiled its gpt-oss models, marking its first open-weight release since GPT-2. These models, gpt-oss-120b and gpt-oss-20b, are now available on Azure AI Foundry and Windows AI Foundry, offering developers and enterprises unprecedented control over AI deployment and customization.
Key Highlights:
- gpt-oss-120b: A 120-billion-parameter model optimized for complex reasoning tasks like math and code, capable of running on a single enterprise GPU.
- gpt-oss-20b: A lightweight model designed for agentic tasks, suitable for local deployment on Windows devices with 16GB+ VRAM.
Azure AI Foundry and Windows AI Foundry Integration
Microsoft's Azure AI Foundry provides a unified platform for fine-tuning, deploying, and managing AI models, while Windows AI Foundry extends this capability to edge devices. Key features include:
- Fine-tuning: Use parameter-efficient methods like LoRA, QLoRA, and PEFT to adapt models for specific domains.
- Edge Deployment: Optimize models for offline inference on devices via Foundry Local.
- Hybrid AI: Mix open and proprietary models to balance performance, cost, and compliance.
Developer and Enterprise Benefits
- Transparency: Full access to model weights for inspection and customization.
- Flexibility: Deploy models in the cloud or locally, with options for secure, low-latency inference.
- Cost Efficiency: Competitive pricing for managed compute resources.
Pricing and Availability
- gpt-oss-120b and gpt-oss-20b are available now on Azure AI Model Catalog.
- Foundry Local supports gpt-oss-20b on Windows, with macOS compatibility coming soon. QuickStart guide.
Future Vision
OpenAI and Microsoft emphasize a commitment to open and responsible AI, enabling innovation across cloud and edge environments. This release aligns with broader efforts, such as open-sourcing GitHub Copilot Chat and integrating AI into VS Code.
Pricing accurate as of August 2025.
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About the Author
Dr. Sarah Chen
AI Research Expert
A seasoned AI expert with 15 years of research experience, formerly worked at Stanford AI Lab for 8 years, specializing in machine learning and natural language processing. Currently serves as technical advisor for multiple AI companies and regularly contributes AI technology analysis articles to authoritative media like MIT Technology Review.