Friday November 13th, 2026
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Saudi AI Firm OmniOps Launches Bunyan Inference Hub

The platform lets businesses access and deploy AI models while keeping their data and computing workloads in Saudi Arabia.

Startup Scene

Saudi AI infrastructure company OmniOps has launched Bunyan Inference Hub, a platform that allows governments, enterprises, startups and developers to access and deploy open-source artificial intelligence models while keeping their data and computing workloads hosted within Saudi Arabia.

The platform brings AI models and computing resources into a single environment, allowing organisations to select from an existing catalogue or integrate their own models without building and managing separate infrastructure. Customers can purchase predefined token bundles or access dedicated graphics processing unit (GPU) infrastructure for workloads requiring additional capacity.

Developed by OmniOps' research and development team, Bunyan Inference Hub uses a proprietary inference optimisation engine that adapts AI models to available hardware. The technology is designed to improve GPU utilisation, reduce processing costs per token and maintain consistent performance as demand increases.

The platform supports different GPUs and AI accelerators, automatically directing requests to suitable computing resources and adjusting capacity according to demand. Organisations can also monitor performance, track token consumption and establish usage limits across teams.

The launch builds on OmniOps' existing Bunyan infrastructure, introduced in July 2025 to support sovereign AI deployment within Saudi Arabia. By hosting data and processing locally, the company aims to address security and data residency requirements that can complicate the adoption of externally hosted AI services.

The announcement comes amid growing investment in AI infrastructure. According to research cited by OmniOps from ServiceNow, Saudi organisations increased AI spending by 124% year-on-year and plan to allocate 20% of their IT budgets to AI through 2027. Meanwhile, Gartner forecasts global spending on AI inference workloads to reach $23.3 billion by the end of 2026.

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