Decentralised edge computing provider Edjx has partnered with Zeblok Computational, an AI platform-as-a-service (PaaS) provider.
Zeblok’s AI-MicroCloud will integrate with the Edjx platform to meet the growing demand for simplified and rapid edge deployment solutions.
Edjx and Zeblok clients will benefit from this integration by having easier access to AI models for deployment across thousands of edge locations.
The AI-MicroCloud offered by Zeblok supports product engineers in scaling deployments at the edge through a simple AI process.
With the Edjx platform’s capabilities, these engineers now have access to further compute power and storage resources to improve edge applications further.
AI deployments from cloud to edge have a wide range of use cases, including smart retail, Industry 4.0, smart cities, and logistics.
Benjamin Thomas, Edjx CEO, said: “Edjx’s strategic alignment with Zeblok combines capabilities that bring to market unsurpassed competitive differentiation, scaling and value for both of our customers for delivering new edge and AI applications. The partnership is a breakthrough in offering new capabilities for next-gen application development.”
Edjx is at its core an edge operating system and platform that allows for the aggregation of far-flung compute resources into a single space for developing IoT services.
The company says that the partnership with Zeblok Computational will help Edjx expand its reach and support more enterprise-scale AI applications.
“By 2035, there will be one trillion edge devices, requiring many millions of Multi-Access Edge Computing data centres (MECs), with most data created and acted upon at MECs. Zeblok’s AI-MicroCloud integration with the Edjx decentralised edge mesh will give Zeblok customers a global serverless edge pathway to scale next-gen AI applications,” said Mouli Narayanan, CEO of Zeblok Computational.
Edjx appointed its new CEO, Benjamin Thomas, last month alongside the announcement of raising £2.6 million in a seed funding round led by Intersouth Partners.
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