OmniOps Secures $8 Million to Accelerate Saudi Arabia’s AI Transformation | By The Digital Insider

OmniOps, a Saudi Arabia-based AI infrastructure technology provider founded in 2024 by entrepreneur Mohammed Altassan, has secured SAR 30 million (approximately $8 million) in funding from GMS Capital Ventures. This anchor investment will fuel OmniOps’ mission to optimize and scale AI workloads while driving sustainable, energy-efficient infrastructures for organizations across the Kingdom.

Empowering the Next Generation of AI in Saudi Arabia

Backed by a strategic board of directors that includes tech advisor and board member Zaid Farekh, OmniOps is dedicated to advancing AI in alignment with Saudi Arabia’s Vision 2030 and the Saudi National Strategy for Data and AI. These national initiatives underscore the importance of data sovereignty, local content, and privacy as organizations in government, energy, aviation, and healthcare increasingly adopt AI-powered technologies.

This focus on compliance, data sovereignty, and local hosting makes OmniOps’ homegrown solutions particularly valuable. The company delivers cutting-edge cloud-native, high-performance computing (HPC) infrastructure and services that drive digital transformation without compromising on efficiency or sustainability.

Optimizing AI Workloads for Maximum Performance

OmniOps specializes in building scalable HPC clusters designed to reduce operational overhead, minimize hardware usage, and bolster performance. Its advanced AI Inference cluster, enhanced by comprehensive Machine Learning Operations (ML Ops) capabilities, enables organizations to seamlessly deploy and manage models at scale. By integrating intelligent optimizers and platform-agnostic tooling, OmniOps helps clients:

  • Achieve up to 50% reduced GPU power consumption
  • Double workload execution speeds
  • Deliver up to 14x improvement in GPU inference efficiency

This means clients can confidently embrace advanced AI solutions with improved total cost of ownership, all while meeting strict compliance and data sovereignty requirements.

An Ecosystem Built for Sustainable Growth

OmniOps has forged partnerships with leading technology providers, including NVIDIA, Google Cloud, AMD, Pure Storage, IBM, HPE, Supermicro, and Lenovo. These alliances ensure that enterprises and government entities can rapidly innovate, fine-tune large language models (LLMs), and harness pre-trained models for accelerated time-to-market.

With a range of tailored services—from cloud-native HPC deployments and AI infrastructure modernization to cloud managed services—OmniOps is well-positioned to guide clients along every stage of their AI journey. This full-spectrum approach encompasses everything from early experimentation to large-scale production workloads, optimizing resource allocation through GPU fractioning and integrating open-source tools to meet evolving demands.

Driving AI Adoption at Scale

OmniOps’ holistic platform empowers clients to innovate, scale, and manage AI deployments more efficiently. Its intuitive interface simplifies complex operations, whether running on-premises, in the cloud, or air-gapped environments. As a result, organizations can rapidly experiment with new models, integrate pre-trained solutions like those from Hugging Face, and achieve lower latency and higher throughput for even the most demanding AI tasks.

“Optimizing AI infrastructure and workloads through OmniOps helps our clients reduce costs and environmental impact while speeding up their time-to-insight,” said Mohammed Altassan, founding CEO of OmniOps. “This funding from GMS Capital Ventures will enable us to further refine our AI platform, accelerating the Kingdom’s journey toward becoming a global leader in artificial intelligence.”

GMS Ventures’ support will enhance OmniOps’ access to best-in-class technologies and global networks, driving the company’s long-term vision. Already trusted by major players such as Saudi Airlines and CNTXT, OmniOps is set to shape the future of AI adoption in Saudi Arabia and beyond.


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Published on The Digital Insider at https://is.gd/DVJ5Gt.

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