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By appointment (marketing@veea.com) in Hall 6, Stand 6A or on M37 Yacht in Port Vell, Barcelona
NEW YORK, Feb. 17, 2025 ( GLOBE NEWSWIRE )–  , ( NASDAQ: VEEA ), a pioneer in hyperconverged heterogenous 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,  , 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.
For business 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 System Edge, where users devices, sensors and machines connect to the system, most importantly, for reasons of low-latency, data privacy and data independence. VeeaWare ® full stack software runs on VeeaHub® devices and on third-party hardware solutions with GPUs, TPUs, or NPUs, such as Qualcomm Edge AI Box-based hardware on a Veea computing mesh and NVIDIA AGX Orin for full range of AI inferencing with cloud-native edge applications and AI-driven cybersecurity with specialized Agentic AI and AIoT for the specific use cases. Veea Edge Platform offers an unmatched capacity for AI inferencing for business use cases at the top in combination with its VeeaCloud management functions, AIoT platform, and extension of network slicing through the LAN with SDN and NFV.
For high-performance increased technology and AI applications, Supermicro MGX servers and the NVIDIA GH200 Grace Hopper Superchip form the foundation of Vapor IO’s Zero Gap AI. The Zero Gap AI supports 5G personal systems, including NVIDIA Aerial-based 5G personal networking services, and also enabling the delivery of AI inferencing and training sophisticated models. Vapor IO demonstrated how Zero Gap AI consumers can benefit from using artificial intelligence inferencing for a range of use cases, including those in smart environments with the highest level of performance and reliability that may be achieved now through a PoC with Supermicro and NVIDIA in Las Vegas. 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 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. ” We intend to accomplish the same by streamlining the application of AI where data is generated at the edge as the first PCs did business customers first,” according to Vapor IO. By combining the use of scalable computing, storage, hyperconverged networking, and AI-driven cybersecurity into a single system with a cloud-native architecture at Device Edge and VeeaCloud management capabilities with Vapor IO, we have removed much of the uncertainty and friction from the adoption of AI at the edge.
The combined capabilities of Veea Edge Platform and Zero Gap AI, offer a unified, automated platform with orchestration for seamless workload distribution, which enables a new class of collaborative, distributed AI applications as an AI-in-a-Box solution:
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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.
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Offering Scalable, GPU-accelerated AI compute at the edge – Eliminates the need for enterprises to invest in expensive on-prem AI hardware.
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Supports AI workloads ranging from light IoT analytics to full-scale deep learning training, enabling AI at any scale, making it possible for businesses to adopt AI either incrementally or at full scale.
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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.
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Facilitating Federated Learning – Supports collaborative model training across distributed edge devices while protecting data privacy, enabling businesses to gain insights from decentralized data sources without compromising sensitive information.
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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.
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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.
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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.
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Ensuring Seamless Connectivity Options: A range of ultra-low latency connectivity options to help move AI data between Edge-to-Edge compute and on-prem devices.
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Reducing AI Deployment Complexity – Automates AI workload orchestration, allowing businesses to expand, migrate, or failover AI models across distributed edge nodes without manual reconfiguration.
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Accelerating AI Deployment Time-to-Value – Offers a pre-integrated solution that shortens the time it takes to implement AI, allowing businesses to launch AI-powered solutions without any issues and require ongoing maintenance.
” According to Gartner, 85 % of all AI models/projects fail because of , poor data quality or little to no relevant data. Through our Edge-to-Edge partnership with Veea, we largely addressed this industry pain point at the most reasonable cost-effective level, with significantly less complexity and little chance of disappointment,” said Cole Crawford, founder and CEO of Vapor IO. With federated learning, Agentic AI, and AIoT, we are well positioned to offer one of the most competitive turnkey real-time AI inferencing capabilities in the market to public and private enterprises thanks to our substantial ecosystem of major partners and developers.
About Veea
Veea Inc.(NASDAQ: VEEA) was formed in 2014 and is headquartered in New York City with a rich history of major innovations in the development of advanced networking, wireless and computing technologies. Veea® has unified computing, communications, edge storage and cybersecurity solutions through fully integrated cloud- and edge-managed products. Veea’s pioneering Multiaccess Edge Computing (MEC) product, developed from the ground up in several compact form factors, brings together the functionality typically provided for through any combination of servers, Network Attached Storage (NAS) devices, routers, firewalls, Wi-Fi APs, IoT gateways, 4G or 5G wireless access, and Cloud Computing by means of multiple hardware, software and systems integrated and maintained by IT/OT professionals.
Veea Edge PlatformTM, a cloud-managed full-stack platform with Linux server hosting VeeaWare stack, is designed to enable compute capabilities on any network and computing mesh using any combination of GPUs, TPUs, and NPUs. VeeaHub products are hyperconverged, multi-access and multi-protocol devices that provide for control plane management of heterogeneous devices on any vMesh cluster. With advanced Software Defined Networking ( SDN) and fixed-line and/or wireless WAN connection, including 5G, this cutting-edge technology enables network slicing for seamless connectivity across various network environments. A highly simplified Secure Access Service Edge ( SASE ) is provided by AI-driven cybersecurity and Zero Trust Network Access (ZTNA ). Its combined compute and storage capabilities make it possible for cloud-native applications to run in Secured DockerTM containers in a virtualized software environment. Veea Edge Platform provides for end-to-end cloud management of devices, applications and services. Rapid development of edge applications is made possible by the Veea Developer Portal and development tools. The combined capabilities with AI-driven intelligence enables unparalleled scalability, security, and operational efficiency for enterprises, IoT ecosystems, and next-gen AI applications.
Gartner recognized Veea in 2021 and 2023 for its cutting-edge capabilities and capabilities. In its research report published in October 2023, Veea was named one of the top 10 Edge AI solution providers along with IBM, Microsoft, AWS, and others. For more information, visit ,  , and follow us , on , Linked In.
About Vapor IO
Vapor IO stands at the forefront of the AI revolution, delivering ultra-fast and ultra-low latency solutions on- premises and across distributed edge locations with AI and private 5G networks. The company’s Zero Gap™ AI platform uniquely delivers on-demand GPUs and AI services directly to the locations where it’s needed and through Network-Delivered AI services in 36 key U. S. markets, including cities like Dallas, Las Vegas, and Seattle. Zero Gap AI uses Vapor IO’s Kinetic Grid ® infrastructure, Supermicro’s AI-optimized servers, and NVIDIA’s groundbreaking AI silicon, including NVIDIA Aerial 5G private networks, to offer on-demand AI services in top U. S. markets.
Zero Gap AI is a uniquely cost-effective way for enterprises, municipalities, and cloud providers to implement or expand their AI capabilities without investing in capital-intensive servers, networking equipment and data center facilities. Multiple AI access points in each market can be set up as availability zones, allowing for nearly unlimited degrees of resilience and uninterrupted operation. Zero Gap AI services are extended wherever they are needed in many markets thanks to highly optimized NVIDIA Aerial 5G private network services, which are uniquely packaged with spectrum and highly optimized NVIDIA Aerial 5G private network services. The extensive partner ecosystem at Vapor IO allows for the development of specialized AI solutions based on the Zero Gap platform. From Smart City to Smart Retail, network of partners has the industry know how to build best-in-class solutions. Discover the impact Network-Delivered AI solutions that Vapor IO can make with customized solutions that meet your needs. Visit , www. zerogap. ai  , to learn more.
Zero Gap, Vapor, Kinetic Edge, Kinetic Grid, and Kinetic Edge Exchange are registered trademarks or trademarks of Vapor IO, Inc.
Forward-Looking Statements
Forward-looking statements are contained in this press release within the meaning of Section 21E of the Securities Exchange Act of 1934, as amended, and the Private Securities Litigation Reform Act of 1995, as amended, which are intended to fall under the safe harbor established by those sections. Forward-looking statements, which are based on certain assumptions and describe the Company’s future plans, strategies and expectations, can generally be identified by the use of forward-looking terms such as “believe”, “expect”, “may”, “will”,” should”, “would”,” could”,” seek”, “intend”, “plan”, “goal”, “project”, “estimate”, “anticipate”,” strategy”, “future”, “likely” or other comparable terms, although not all forward-looking statements contain these identifying words. All statements other than statements of historical facts included in this press release regarding the Company’s strategies, prospects, financial condition, operations, costs, plans and objectives are forward-looking statements. Important factors that could cause the Company’s actual results and financial condition to materially differ from those that the forward-looking statements claim. Such forward-looking statements include, but are not limited to, risks and uncertainties including those regarding: the Company’s business strategies, and the risk and uncertainties described in” Risk Factors”,” Management’s Discussion and Analysis of Financial Condition and Results of Operations”,” Cautionary Note on Forward-Looking Statements” and the additional risk described in Veea’s Form 10-Q for the fiscal quarter ended September 30, 2024 and any subsequent filings which Veea makes with the U. S. Securities and Exchange Commission. Forward-looking statements should not be used as forecasts for upcoming events. As of the date the forward-looking statements are made, they only relate to events or information. Except as required by law, we are not required to update or revise any forward-looking statements, whether as a result of new information, future events, or otherwise, after the date on which they are made or to reflect the occurrence of unanticipated events. Were our actual results in the future materially different from what we anticipate, so read this press release carefully.
The Equity Group
Devin Sullivan
Managing Director
Conor Rodriguez
Associate