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Stelia and Ori Industries Unleash AI’s Limitless Potential with New Infrastructure Partnership

Stelia, the AI acceleration platform, announced a strategic partnership with Ori Industries, the AI-native cloud provider. This collaboration is transforming the AI infrastructure landscape, addressing the impending data tsunami brought by AI and emerging technologies such as Augmented Reality (AR) and machine to machine (M2M) data.

The partnership between Stelia and Ori Industries delivers three critical outcomes for businesses embracing AI:

  1. Unified AI and Legacy Infrastructure: Our combined platform bridges the gap between cutting-edge AI and established systems, creating a cohesive technological environment for AI teams. This integration facilitates a smooth transition into the AI era, enabling businesses to maximise existing investments while embracing the full potential of AI innovation.
  2. Accelerated AI Innovation Lifecycle: The Stelia-Ori partnership dramatically compresses the AI development timeline, enabling businesses to transform conceptual AI into market-ready solutions in a fraction of the traditional time. This acceleration acts as a catalyst for innovation, allowing companies to stay ahead in the rapidly evolving AI landscape.
  3. Seamless Scalability for AI Applications: By integrating Stelia’s DawnLink with Ori’s compute infrastructure, we’ve created an AI ecosystem that grows with ambition. This solution eliminates traditional performance bottlenecks, allowing AI applications to scale from edge devices to global networks without boundaries.

Also Read: Humanoid Robots And Their Potential Impact On the Future of Work

“Stelia’s DawnLink, integrated with Ori’s cloud, redefines AI infrastructure,” said Tobias Hooton, CEO at Stelia. “Our combined platform enables petabit-scale data flow between AI supercomputers and legacy networks, eliminating traditional bottlenecks. Together our proposition delivers unrestricted AI model deployment, from edge to core, with code-native control. Beyond bridging AI and internet – we’ve created an acceleration platform that transforms conceptual AI into deployable, scalable solutions. We’re giving AI a pair of seven-league boots.”

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The Stelia-Ori partnership addresses key challenges for AI teams, providing solutions that:

  1. Overcome capacity and bandwidth constraints associated with traditional internet infrastructure, enabling more efficient AI operations.
  2. Support emerging protocols and transmission technologies, ensuring compatibility with evolving AI and network standards.
  3. Deliver consistent performance for AI workloads across global networks, reducing latency and improving user experience.
  4. Implement advanced security measures specifically designed for AI data and models, enhancing protection in complex computing environments.”

Mahdi Yahya, CEO of Ori Industries noted “Our partnership with Stelia redefines AI infrastructure,” said Mahdi Yahya, CEO of Ori Industries. “By fusing Ori’s cloud with Stelia’s DawnLink, we’re revolutionizing how AI interacts with the digital ecosystem. This solution enables true AI scaling from edge to global networks, dramatically accelerating innovation cycles. Together we are offering verticalized AI infrastructure integrating GPU power with advanced software orchestration, enabling AI teams to rapidly deploy and efficiently scale their models at any stage of development. This collaboration unlocks the full potential of distributed intelligence, paving the way for previously unimaginable AI applications.”

The combined Stelia-Ori solution is designed to cater to a wide range of customers, from AI development teams to enterprises embarking on AI initiatives. It offers unparalleled flexibility, allowing customers to scale their AI operations from edge devices to continent-spanning networks.

Also Read: Unilever and Accenture Join Forces to Establish a New Industry Standard in Generative AI-Powered Productivity

[To share your insights with us as part of editorial or sponsored content, please write to psen@itechseries.com]

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