- Builds on ZEDEDA’s proven edge orchestration foundation, which already manages tens of thousands of application instances in the world’s most demanding field environments
- Enables customers to build, deploy, secure, and scale autonomous AI agents across distributed operations
- Accelerates edge AI deployment timelines from weeks to minutes
SAN JOSE, Calif.–(BUSINESS WIRE)–#CleanEnergy—ZEDEDA, the leader in edge intelligence, today unveiled its Edge Intelligence Platform at NVIDIA GTC 2026, providing the industry’s first solution that can create, deploy and secure edge AI at scale. The platform was built for and together with leading distributed Fortune 500 enterprises worldwide that require edge intelligence wherever their business operates.
Despite record global AI spending that is projected to reach $2.53 trillion in 2026, most edge AI projects stall in the pilot phase. According to ZEDEDA’s 2026 Edge AI Survey of 600 IT and business leaders, 47% of enterprises have adopted hybrid cloud-edge architectures, yet 41% describe managing AI workloads across distributed environments as challenging. Organizations frequently struggle to bridge the gap between training a model in the cloud and operating it reliably at scale in the field.
ZEDEDA has focused on the distributed and physical edge for nearly a decade, with its open, secure edge orchestration platform now managing tens of thousands of edge nodes and application instances under management for some of the world’s largest enterprises.
With the release of the Edge Intelligence Platform, built on ZEDEDA’s award-winning edge orchestration platform, enterprises can now orchestrate the complete edge AI lifecycle in a single control plane and API, defining agent behavior, model versioning, inference optimization, and managing distributed edge infrastructure. ZEDEDA’s AI-powered platform is the only solution that is built to intelligently and autonomously implement the entire edge AI stack from inception to operation securely at scale.
Beyond the platform, ZEDEDA is also introducing Edge Intelligence Labs, which curates and maintains pre-validated AI models, agents and blueprints, and Edge Intelligence Appliances, which are ready to deploy integrated, open and verified edge systems, built with leading partners, to deliver production-ready edge AI tailored to each customer’s environment.
“We are entering a new era where AI must live in the physical world. For years, the ‘cloud-first’ model created a digital bottleneck, forcing physical operations to be tethered,” said Said Ouissal, CEO and founder of ZEDEDA. “ZEDEDA Edge Intelligence Platform flips this equation. By delivering intuitive, autonomous intelligence directly to the edge and physical world using AI, we’re removing the final barrier for enterprises to bring the full value of AI to where their business operates where it matters most, in real-time, securely and at scale.”
Introducing Edge Inference Services
The first capabilities in ZEDEDA Edge Intelligence Platform is Edge Inference Services, which enables organizations to deploy, validate and operate AI models across diverse edge hardware at the same speed, with the same governance and confidence they expect in centralized cloud environments.
ZEDEDA Edge Inference Services accelerate edge AI deployment through:
- Automated deployment workflows that remove manual infrastructure setup and reduce dependence on specialized DevOps resources
- Real hardware benchmarking, enabling teams to validate model performance on actual edge devices—such as NVIDIA Jetson for high performance AI compute and Intel Xeon, Intel Core and Intel Core Ultra-based systems—before production deployment, delivering budget and resource optimization and SLA assurance
- Enterprise-grade governance, including GitOps-based version control, approval workflows, audit trails and one-click rollback for automated, auditable, and reliable edge AI deployments across edge fleets
Backed by the Edge AI Ecosystem
The Edge Intelligence Platform leverages ZEDEDA’s deep collaborations across the AI and edge hardware ecosystem, including NVIDIA, Intel, Qualcomm and other leading AI technology providers.
“Qualcomm is redefining the edge with high-performance, on-device AI, but hardware is only part of what it takes to scale intelligent systems,” said Dev Singh, Vice President of Business Development, Qualcomm Technologies, Inc. “The ZEDEDA Edge Intelligent Platform is a major step toward removing friction from deploying and securing edge AI at scale, setting a new benchmark for enterprise-ready solutions.”
“Scaling edge AI requires both powerful hardware and a trusted ecosystem,” said John Healy, Vice President Client Computing Group, General Manager Industrial and Robotics Division, Intel Corporation. “Intel delivers industry-leading processors and has built a robust partner network through our verified Intel Edge AI systems program. Our collaboration with ZEDEDA—running their Edge Intelligence Platform on Intel platforms—exemplifies how we’re creating the qualified, open ecosystem that developers need to deploy Intel-optimized edge applications with confidence and speed.”
Availability
ZEDEDA Edge Intelligence Platform is available now in beta for select customers. ZEDEDA will demonstrate the platform at NVIDIA GTC 2026 booth 4037. ZEDEDA will also host a webinar to showcase the new platform on March 31 at 9 a.m. PT. Register for the webinar and learn more at ZEDEDA.ai.
About ZEDEDA
ZEDEDA unlocks the value of AI where it matters most, enabling enterprises to create, secure and operate edge AI at scale. ZEDEDA’s Edge Intelligence products and solutions are used by global distributed enterprises to rapidly realize intelligence where real-time data drives business outcomes. Trusted by the world’s largest organizations, ZEDEDA is backed by world-class investors, with teams in the United States, Germany, India, and the United Arab Emirates. For more information, visit ZEDEDA.ai.
Frequently Asked Questions
How do I move an AI model from cloud development to production at the edge?
Moving AI from cloud development to production at the distributed edge requires bridging gaps in AI inference infrastructure, hardware optimization and operational governance. ZEDEDA Edge Intelligence Platform automates this process with deployment workflows, automatic inference engine selection, hardware-specific model optimization, and governance via approval workflows and audit trails. Organizations using the platform have reduced deployment timelines from weeks to minutes across thousands of distributed sites.
How can I validate AI model performance on edge hardware before deploying to production?
A common reason edge AI projects stall is that models tested in the cloud perform differently on actual edge devices with constrained resources. ZEDEDA Edge Intelligence Platform includes real hardware benchmarking that lets teams test models on physical edge devices, such as NVIDIA Jetson and Intel-based systems, before production deployment, comparing versions side by side with detailed metrics for latency, throughput and resource utilization.
What industries benefit from edge intelligence?
To unlock AI’s full potential, distributed enterprises need edge intelligence to power secure, scalable, autonomous operations wherever business happens. In manufacturing, this means real-time production optimization, automated quality control, predictive maintenance and enhanced worker safety. In retail, it enables loss prevention, smart inventory tracking, personalized in-store experiences and dynamic queue management. In energy, edge intelligence supports remote asset monitoring, environmental and safety safeguards and real-time operational optimization. And in transportation and logistics, it drives cold cargo monitoring, warehouse robotics and automated inspections, ensuring efficiency, safety and continuity at scale.
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Contacts
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Sarah Vandiver
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