July 16, 2024 — Open Innovation AI, a GPU orchestration platform, and Nscale, an AI cloud service provider, today announced a partnership designed to deliver AI Cloud services and AI workloads at scale. This alliance will combine Nscale’s GPU infrastructure with Open Innovation AI’s end-to-end AI platform.
The partnership aims to enhance the performance, scalability, and accessibility of AI workloads while prioritising sustainability. This joint initiative underscores their commitment to delivering high-performance, environmentally responsible solutions.
Components of the partnership include:
- Integrated AI Solutions: Open Innovation AI will leverage Nscale’s GPU cloud capabilities to enhance its platform, offering seamless orchestration, resource management, and AI tools to simplify AI development and deployment. The combined solution includes AI and ML tools & frameworks, resource monitoring & logging, jobs management, resource allocation, and job scheduling powered by Nscale’s optimised libraries, compilers, tools, and runtime on AMD Instinct GPUs.
- Joint Go-to-Market Strategy: The companies will develop a unified strategy to deliver end-to-end AI solutions, initially targeting large enterprise customers globally.
- Collaborative Innovation: Both parties will engage in joint initiatives to demonstrate value to third-party suppliers, including major accelerator manufacturers.
Dr. Abed Benaichouche, CEO and Co-Founder of Open Innovation AI, stated, “This strategic alliance with Nscale is a significant step towards our mission to drive innovation and operational efficiency in AI and machine learning globally. At Open Innovation AI, sustainability is a core principle, and we are committed to delivering efficient, high-performance computing solutions that align with our shared values of environmental responsibility”
Josh Payne, Founder & CEO of Nscale, commented, “Partnering with Open Innovation AI allows us to showcase the full potential of our high-performance compute resources. Together, we are well-positioned to meet the growing demand for scalable and efficient AI solutions across all industries globally.”
The alliance plans to scale its operations significantly, targeting the deployment of 30,000 GPUs over the next three years. This phased execution plan will cater to the computational demands of complex AI tasks, positioning both companies at the forefront of AI innovation.
