ZEDEDA, provider of edge intelligence, and Submer, the end-to-end AI infrastructure company, have entered a strategic partnership to deliver rapid manufacturable modular, liquid-cooled edge AI infrastructure for high-density GPU inference in locations where traditional data centres are unavailable or impractical.
The joint solution combines Submer’s full-stack AI infrastructure platform – spanning design, liquid-cooled compute infrastructure and deployment that supports ultra-high-density racks exceeding 100kW – with ZEDEDA’s edge intelligence software platform, enabling customers to create, secure and operate edge AI anywhere in the world, and at any scale.
As AI workloads increasingly move from centralised cloud infrastructure to industrial and operational environments, organisations require high-density compute infrastructure that can be rapidly deployed outside traditional data centre facilities. Enterprises, service providers, and nations can now deploy fully integrated and validated high-density GPU inference infrastructure anywhere intelligence is needed – on factory floors, at energy sites, across telco aggregation points and in sovereign environments – without the constraints, cost, or lead times of traditional AI data centres.
Said Ouissal, CEO and founder of ZEDEDA, said: “As intelligence moves from the cloud into the physical world, the ability to run AI anywhere – in a remote factory, an offshore platform, or telecommunications networks – is a fundamental requirement. The world’s most critical operations generate enormous volumes of data far from any data centre, and until now, the infrastructure to act on that data intelligently simply couldn’t follow. Our collaboration with Submer makes that possible now.
“ZEDEDA’s Edge Intelligence Platform ensures high-performance AI workloads at the edge are managed, secure, and scalable, and Submer’s liquid cooling technology enables the high-density compute those workloads demand, even in the harshest global environments. Together, we are unlocking AI for the industries that need it most.”
The companies plan to offer three modular form factors initially:
- Pods: Compact edge deployments supporting up to 8 GPUs or edge AI inference cards per server for on-premise industrial and 5G telecom sites.
- Packs: Ruggedised micro-data centre configurations supporting up to 168 GPUs for energy, mining, ports and manufacturing environments.
- Containers: Megawatt-scale, liquid-cooled solutions supporting up to 800 GPUs in 10-, 20-, or 40-foot configurations for sovereign AI and GPU-as-a-service operators as well as locations where cloud or network access are impractical.
The modular form factors are designed to support a range of AI workloads at the edge, including real-time computer vision, predictive maintenance, industrial automation and emerging agentic AI applications that require local inference and decision-making.
Submer will provide modular containerised infrastructure with immersion and direct-to-chip cooling designed for high-density GPU deployments. ZEDEDA’s Edge Intelligence Platform will provide complete edge AI lifecycle orchestration, to enable creating, securing, and operating edge AI at scale. The solutions will offer a selection of pre-selected validated hardware and GPU partners, along with the option for customers to bring their own hardware systems.
A core architectural principle of the joint solution is software-defined resilience. Instead of relying solely on hardware redundancy, ZEDEDA’s infrastructure orchestration layer detects node failures and redistributes workloads at the cluster level to maintain service targets. This approach simplifies system architecture, improves GPU utilisation and lowers the total cost of ownership.
Submer’s liquid cooling technology significantly reduces cooling energy requirements compared to traditional air-cooled infrastructure while also eliminating water consumption and supporting more sustainable AI infrastructure deployments. This allows for deployment anywhere in the world, regardless of the environment.
Patrick Smets, CEO of Submer, said: “AI is rapidly moving from centralised cloud environments into real-world operations, from industrial sites to telecom networks and remote energy infrastructure. Delivering that intelligence requires purpose-built AI infrastructure that operates efficiently in environments where traditional data centres simply cannot exist. By combining Submer’s liquid-cooled high-density AI infrastructure with ZEDEDA’s edge intelligence platform, we’re enabling organisations to deploy scalable, resilient AI infrastructure anywhere it is needed.”
The companies are engaging with initial industrial and telecommunications customers and expect pilot deployments later this year.
