OmniOps Launches Bunyan Inference Hub for AI Models in Saudi Arabia

What the platform offers

Organizations can use a range of supported models or run their own, with predefined token packages that can be consumed across the available models. For customers needing more processing power or stronger isolation between environments, the platform also offers dedicated GPU-based compute.

It runs on an inference engine built by OmniOps' R&D team, which adapts how models run to the available hardware and data-processing needs. The company says the engine helps improve GPU utilization, cut the cost of processing tokens and keep performance stable as demand grows. The platform supports multiple GPU types and AI accelerators rather than a single hardware vendor, routes requests to suitable models and resources, manages infrastructure scaling and monitors performance and usage. Customers can also set usage caps and track token consumption to control costs.

Founder and CEO Mohammed Al-Tassan said wider enterprise AI adoption makes it more important to manage models efficiently under clear security and cost controls. He said the platform combines the company's inference technology with its experience running sovereign AI solutions, making it easier to integrate into public- and private-sector operations.

Market backdrop

The release cites research from ServiceNow indicating that AI spending by organizations in Saudi Arabia rose 124% year on year, with plans to devote 20% of IT budgets to enterprise AI solutions through 2027. It also notes a Gartner forecast that global spending on AI inference processing will reach $23.3 billion by the end of this year.

OmniOps was founded in 2024 and focuses on AI infrastructure. Through its Bunyan platform it provides compute for AI applications, with an emphasis on hosting and processing data inside Saudi Arabia. The company previously announced closing a seed round of $8 million.