Core42, a G42 company focused on sovereign cloud and AI infrastructure, has announced the availability of OpenAI’s latest open-weight models, gpt-oss-20B and gpt-oss-120B, on its AI Cloud platform.
The models are now instantly accessible via the Core42 Compass API, offering scalable, high-performance AI capabilities to enterprises, researchers, and developers across global markets.
The deployment enables enterprises, researchers, and developers to run the models on a choice of leading silicon platforms with sovereign, scalable, and high-performance capabilities.
Integrated into Compass API with the flexibility to access a wide spectrum of high-performance compute platforms, Core42 delivers industry-leading inference speeds of up to 3,000 tokens per second per user, enabling real-time AI at global scale while aligning workloads with the optimal infrastructure for price-performance and scalability.
This deployment delivers tailored performance for low-latency inference workloads and applications, reinforcing Core42’s commitment to secure and optimized global sovereign-enabled AI infrastructure.
Kiril Evtimov CEO – Core42 Group CTO – G42
“Core42 AI Cloud, powered by silicon-diverse infrastructure, delivers the flexibility and performance needed for today’s AI workloads. Through the Compass API, organizations can access the latest open-weight AI models and choose the optimal platform to scale transformation, optimize performance and cost, and drive progress across global markets.”
Key Benefits of Core42’s Open-Weight Deployment:
Enterprise-scale performance – Run the fastest, most demanding workloads at global scale, enabling advanced automation, decision-making, and real-time AI experiences.
Sovereign-ready scalability – Deploy high-performance AI in-country with full sovereign controls, supporting secure operations in regulated sectors such as healthcare, finance, and national security.
Optimized for committed environments – Deliver fast, scalable AI in-country with sovereign controls for organizations operating under committed infrastructure agreements, ensuring predictable cost and performance.
Cost-efficient agentic AI – Run agentic workloads at the lowest possible cost while maintaining in-country deployment and sovereign controls, making advanced AI accessible to cost-sensitive use cases.
According to the statement, available now through Compass API, these models let organizations run and adapt AI locally or in the cloud, with full transparency, fine-tuning, and sovereign deployment options. Customers can align performance, cost, and compliance to their needs.
