Edge computing specialist Veea is partnering low latency AI over private 5G specialist Vapor IO. The two companies will offer turnkey AI-as-a-Service (AIaaS) designed for smart manufacturing, warehouses, construction and infrastructure without need for capital-intensive edge devices, servers, networking equipment or data centres.

Veea specialises in hyperconverged heterogenous Multiaccess Edge Computing (MEC) with AI-driven cybersecurity and edge solutions.

Vapor IO is a developer of Zero Gap AI for zero-configuration data centres. Its technology provides ultra-low latency AI inferencing over private 5G networks across distributed edge locations.

The Veea Edge Platform collects and processes raw data at the device edge. VeeaWare software running on VeeaHub devices and on third-party hardware solutions with GPUs, TPUs or NPUs, such as NVIDIA AGX Orin and Qualcomm Edge AI Box-based hardware on a Veea computing mesh, provide AI inferencing with cloud-native edge applications and AI-driven cybersecurity with bespoke Agentic AI and AIoT for specific use cases.

Vapor IO’s Zero Gap AI is built around Supermicro MGX servers with the NVIDIA GH200 Grace Hopper Superchip. Zero Gap AI enables simultaneous AI inferencing and complex model training while supporting 5G private networks, including NVIDIA Aerial-based 5G private network services.

“AI represents a new class of software. Just as computing evolved from the client-server architectures to more decentralised models, for most enterprise applications AI will inevitably migrate to the edge sooner rather than later—driven by the need for data sovereignty, real-time processing, lower latency, enhanced security, and greater autonomy. The future of AI is on the edge, where intelligence meets efficiency,” said Allen Salmasi, co-founder and CEO of Veea. “As the first PCs brought general computing to business customers first, through the partnership with Vapor IO, we intend to accomplish the same by streamlining the application of AI where data is generated at the edge. By integrating scalable computing, storage, hyperconverged networking and AI-driven cybersecurity into a unified system with a cloud-native architecture at Device Edge and VeeaCloud management capabilities together with Vapor IO we have taken much of the uncertainty and friction out of the adoption of AI at the edge.”