AI at the Edge: Veea and Vapor IO Announce Partnership for Turnkey AI-as-a-Service

Veea and Vapor IO Unite to Offer AI-as-a-Service

Veea Inc., a pioneer in hyperconverged heterogeneous Multiaccess Edge Computing (MEC) with AI-driven cybersecurity and edge solutions, and Vapor IO, the leading developer of Zero Gap AI for zero-configuration data centers enabling comprehensive training utilizing a catalog of state-of-the-art models, delivering ultra-low latency AI inferencing with private 5G networks across distributed edge locations, have announced a partnership to offer turnkey AI-as-a-Service (AIaaS) to enterprises, municipalities, and others without investing in capital-intensive edge devices, servers, networking equipment, and data center facilities.

AI at the Edge: The Future of Computing

For enterprise applications, such as Smart Manufacturing, Smart Warehouses, Smart Hospitals, Smart Schools, Smart Construction, Smart Infrastructure, and many others, Veea Edge Platform collects and processes the raw data at the Device Edge, where user devices, sensors, and machines connect to the network, most importantly, for reasons of low-latency, data privacy, and data sovereignty. VeeaWare full-stack 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 for the full gamut of AI inferencing with cloud-native edge applications and AI-driven cybersecurity with bespoke Agentic AI and AIoT for the specific use cases.

Vapor IO’s Zero Gap AI: A Game-Changer in AI Computing

The core of Vapor IO’s Zero Gap AI is built around Supermicro MGX servers with the NVIDIA GH200 Grace Hopper Superchip for high-performance accelerated computing and AI applications. The Zero Gap AI makes it possible to simultaneously deliver AI inferencing and train complex models while supporting 5G private networks, including NVIDIA Aerial-based 5G private network services. Through a PoC together with Supermicro and NVIDIA in Las Vegas, Vapor IO demonstrated how Zero Gap AI customers can receive the benefits of AI inferencing for a range of use cases, including those in mobile environments with the highest level of performance and reliability that can be achieved today. For low-latency use cases, Zero Gap AI is offered as high-performance micro data centers, strategically placed in close proximity where AI inferencing is delivered. Zero Gap AI offering provides for the AI tools, libraries, SDKs, pre-trained models, frameworks, and other components that may optionally be employed to develop AI apps.

AI-as-a-Service: A New Era in AI Computing

“AI represents a new class of software. Just as computing evolved from the client-server architectures to more decentralized 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,” stated 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.”

FAQs

• VeeaCloud management of GPU clusters – Plays a crucial role in balancing performance, scalability, and efficiency for AI inferencing, while utilizing cloud orchestration for resource optimization, model updates, and intelligent workload distribution.
• Providing On-Demand AI Compute – Eliminates the need for enterprises to invest in costly on-prem AI hardware by offering scalable, GPU-accelerated AI compute at the edge.
• Enabling AI at Any Scale – Supports AI workloads ranging from lightweight IoT analytics to full-scale deep learning training, ensuring enterprises can adopt AI incrementally or at full scale.
• Harnessing Agentic AI – Integrates intelligent, autonomous decision-making capabilities that enable AI systems to adapt and optimize their performance in real-time, enhancing the effectiveness of applications across various edge environments.
• Federated Learning – Supports collaborative model training across distributed edge devices while maintaining data privacy, allowing enterprises to leverage insights from decentralized data sources without compromising sensitive information.
• Supporting Model Hosting & AI Inference – Allows users to deploy, manage, and scale AI models in real-time, with low-latency inference APIs available across edge locations.
• Offering Bare Metal and Virtualized AI Instances – Users can lease dedicated AI hardware or deploy workloads in multi-tenant GPU/CPU environments, ensuring flexibility for both small and large-scale AI applications.
• Integrating Edge Storage & AI Data Management – Includes NVMe-based high-speed caching for inference and object storage for large-scale AI datasets, reducing reliance on cloud-based data transfers.
• Ensuring Seamless Connectivity Options – A range of ultra-low latency connectivity options to optimize AI data transfer between on-prem devices and Edge-to-Edge compute.
• Reducing AI Deployment Complexity – Automates AI workload orchestration, allowing businesses to expand, migrate, or failover AI models across distributed edge nodes without manual reconfiguration.
• Accelerating Time-to-Value for AI Deployments – Provides a pre-integrated solution that reduces AI setup time from months to minutes, allowing enterprises to launch AI-powered solutions with minimal friction and ongoing maintenance.

Conclusion

The partnership between Veea and Vapor IO marks a significant milestone in the development of AI-as-a-Service, offering a turnkey solution for enterprises, municipalities, and others to adopt AI without the need for significant investments in edge devices, servers, networking equipment, and data center facilities. With the combined capabilities of Veea Edge Platform and Zero Gap AI, the partnership provides a unified, automated platform with orchestration for seamless workload distribution, enabling a new class of collaborative, distributed AI applications as an AI-in-a-Box solution.