Ambarella and ZEDEDA Partner to Bring Cloud-Orchestrated AI to Billions of Devices at the Physical Edge
Partnership links ZEDEDA’s edge orchestration with Ambarella’s AI SoCs, aiming to give enterprises cloud-like control over large fleets of physical AI devices.
Rhea-AI Summary
Ambarella (AMBA) and ZEDEDA announced a strategic partnership on September 15, 2026 to enable secure, cloud-orchestrated AI on Ambarella edge SoCs. ZEDEDA's open-source EVE-OS, governed by the Linux Foundation, now runs on Ambarella's N1 family of edge generative AI chips, starting with the N1-655, allowing enterprises to deploy, update and operate AI models directly on Ambarella's power-efficient acceleration hardware from a single control plane. The collaboration targets vision models, LLMs and multimodal workloads across cameras, robots, vehicles and industrial systems, with zero-touch security. The companies have defined a five-phase roadmap that, if adopted and executed as planned, envisions deployments across hundreds of thousands of edge nodes at over one hundred enterprises over 5–7 years, though these figures are planning objectives rather than binding commitments.
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News Explained
Early access is available now, but future kits, deployment scale and revenue remain conditional rather than committed.
The partnership has reached an early-access stage: EVE-OS support for Ambarella's N1-655 is available now, allowing early-access customers to use the software stack on that chip.
For Ambarella, this is an ecosystem and product-availability change rather than a disclosed order; development kits and optimized models are expected in
The companies are still extending the integration with hardware observability and direct Model Hub deployment, identifying specific work that must be completed before the announced fleet-scale path is fully available.
Key Figures
- Strategic roadmap phases
- 5 phases
- Partnership roadmap
- Managed edge nodes
- Hundreds of thousands
- Potential roadmap deployment objective
- Enterprise deployments
- More than 100 enterprises
- Potential roadmap deployment objective
- Potential associated revenue
- Could exceed hundreds of millions of dollars
- Over a 5-7 year period; planning objective, not a guarantee
- AI chips shipped
- More than 50 million
- Ambarella cumulative shipments
- EVE-OS support availability
- Available now
- Ambarella N1-655 for early access customers
- Development kit availability
- Q4 2026
- Kits with EVE-OS preinstalled expected through DevZone
Historical Context
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Signed decade-plus edge AI agreement covering co-development and sourcing for Hanwha businesses.
24h Move is the share-price change in the day after each event; other market factors may also have contributed.
Key Terms
llms technical
kubernetes technical
inference technical
AI-generated analysis. How Rhea-AI works. Not financial advice.
ZEDEDA Edge Intelligence Platform now runs on Ambarella's edge AI SoCs, letting enterprises deploy, secure and operate AI models on power-efficient silicon from a single control plane
Joint demonstrations with Roboflow and Liquid AI debut at the AI Infrastructure Summit 2026
SAN JOSE, Calif. and SANTA CLARA, Calif., Sept. 15, 2026 (GLOBE NEWSWIRE) -- Ambarella, Inc. (NASDAQ: AMBA), a leading developer of edge AI semiconductor solutions, and ZEDEDA, the leader in edge intelligence, today announced a strategic partnership to bring secure, cloud-orchestrated AI to the devices where the physical world meets AI: cameras, robots, vehicles, industrial systems and edge appliances.
AI silicon has advanced faster than the tools to manage it in the field. Enterprises can build powerful edge AI hardware, but deploying, updating and securing models across fleets of devices remains largely manual, slow and hard to secure. ZEDEDA's 2026 survey of 600 IT and business leaders found that
Through this collaboration, ZEDEDA's open-source EVE-OS, governed by the Linux Foundation, now runs on Ambarella's N1 family of edge generative AI SoCs, and ZEDEDA's Edge Intelligence Platform can deploy, update and operate AI models directly on Ambarella's power-efficient AI acceleration hardware. Enterprises and OEMs can now orchestrate vision models, LLMs and multimodal AI workloads on Ambarella-based systems at any scale, from a single control plane, with zero-touch security built in. This represents a significant evolution in edge computing: cloud-native software infrastructure and Physical AI inference together inside the machine, with centralized control and management retained.
The partnership unites two complementary leaders: Ambarella's SoCs power AI perception across security cameras, robotics, automotive and industrial systems, with more than 50 million AI chips shipped cumulatively. ZEDEDA's platform is trusted by leading Fortune 500 enterprises operating tens of thousands of edge nodes in the field. Together, the companies remove the biggest barrier to physical AI adoption: getting models onto distributed devices, keeping them current and keeping them secure, without sending trucks or exposing infrastructure.
Building on a breakout year for both companies
Today's announcement extends the momentum both companies have built in 2026:
- In March, ZEDEDA unveiled its Edge Intelligence Platform at NVIDIA GTC, the industry's first platform to create, secure and operate edge and physical AI at scale, alongside Edge Intelligence Labs and Edge Intelligence Appliances.
- In January, Ambarella launched its CV7 edge AI vision SoC at CES 2026, delivering more than 2.5x the AI performance of the prior generation on 4nm process technology, and opened its Developer Zone to broaden the Ambarella edge AI ecosystem.
This partnership connects those threads: Ambarella's newest silicon and developer ecosystem, now operable at fleet scale through ZEDEDA Edge Intelligence Platform and edge AI ecosystem.
What the partnership delivers
- EVE-OS validated on Ambarella N1: ZEDEDA's open-source, Linux Foundation LF Edge-based edge operating system runs on the Ambarella N1-655, providing a secure, vendor-neutral foundation for containerized, virtualized and Kubernetes workloads on-device.
- Model deployment from the ZEDEDA Model Hub: Ambarella-optimized AI models are deployed to Ambarella-based systems directly from ZEDEDA's Edge Intelligence Platform, with verified inference on Ambarella's AI acceleration engine and full observability, monitoring and lifecycle management for ongoing updates and optimization in the field.
- A full-stack developer path: Ambarella's edge AI platform combines proprietary AI acceleration and computer vision with its Cooper development environment: 12 edge AI SoC families supporting more than 200 AI model architectures in customer production and now orchestrated at fleet scale by ZEDEDA.
- Developer kits, ready out of the box: Development kits featuring Ambarella technology with EVE-OS preinstalled are expected to become available through Ambarella's DevZone, so developers and system integrators can go from unboxing to orchestrated Physical AI deployment in minutes.
- An open ecosystem path: The companies are working with ISVs, system integrators and hardware partners to deliver full-stack edge AI solutions, and will explore deeper participation in the LF Edge ecosystem, of which ZEDEDA is a founding member.
A phased path to enterprise scale
IDC forecasts that worldwide edge computing spending will approach
The collaboration initially focuses on use cases where AI must operate locally with low latency, high reliability and constrained power budgets, including robotics and autonomous machines, industrial automation and machine vision, intelligent cameras and smart infrastructure, automotive and mobility, retail and logistics, and connected industrial equipment.
See it live at AI Infra Summit 2026
The companies will showcase the integration at the AI Infra Summit, September 15-17 at the Santa Clara Convention Center, where Ambarella is a Diamond Sponsor. Running on the Ambarella N1-655 platform, the demonstration will show how enterprises can create, package and deploy a custom solution blueprint to an Ambarella cluster, with the Ambarella YOLOX AI model automatically pulled from the ZEDEDA Model Hub and made available to the runtime at startup. Ecosystem partners Roboflow and Liquid AI will showcase computer vision and language models running on Ambarella silicon in the same demonstration, orchestrated by ZEDEDA.
The companies will also demonstrate Kubernetes-based AI workloads running on Ambarella CV7, illustrating how sophisticated cloud-native workloads can be orchestrated directly inside highly power-efficient intelligent edge devices — including camera-class systems. This represents a significant evolution in edge computing: bringing cloud-native software infrastructure and Physical AI inference together inside the machine while retaining centralized control and management.
Executive quotes
"AI is moving into the physical world, and the hard part was never training models. It's operating them securely and reliably on millions of devices in the field," said Said Ouissal, founder and CEO of ZEDEDA. "Ambarella has built an exceptional AI compute platform for the physical world. By combining Ambarella silicon with EVE-OS and ZEDEDA Edge Intelligence Platform, we can give developers and enterprises a cloud-like experience for deploying and operating AI across fleets of intelligent machines. This is an important step toward making Physical AI operational at scale."
“Physical AI is moving intelligence from the cloud into machines that perceive, understand and act in the real world,” said Muneyb Minhazuddin, Chief Growth Officer at Ambarella. “Ambarella provides the AI compute platform that makes this possible within extremely power-constrained devices, while ZEDEDA provides the cloud-like infrastructure to securely deploy, orchestrate, observe and manage that intelligence at scale. Together, we are creating a powerful foundation for the next generation of intelligent cameras, robots, vehicles and industrial machines.”
Availability
EVE-OS support for the Ambarella N1-655 is available now for early access customers. Validated Ambarella solution blueprints and optimized models in the ZEDEDA Model Hub, and development kits with EVE-OS preinstalled, are expected to be available in Q4 2026. The companies are currently extending the integration with Ambarella hardware observability and direct Model Hub deployment, creating a path toward repeatable, fleet-scale deployment of Physical AI applications. Contact ZEDEDA or Ambarella for early access.
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 globally distributed enterprises to rapidly realize intelligence, with real-time data driving business outcomes. Trusted by the world's largest organizations, ZEDEDA is backed by world-class investors and has teams in the United States, Germany, India, and the United Arab Emirates. For more information, visit ZEDEDA.ai.
About Ambarella
With an installed base of more than 50 million AI SoC units, Ambarella’s products are utilized in a wide variety of physical edge AI applications, spanning edge endpoint and edge infrastructure use cases including physical security, vehicle safety, telematics, autonomy, portable video, aerial drones, and other emerging robotic applications. Building on this footprint, Ambarella offers a full-stack edge AI platform, from highly optimized silicon and programmable software to AI agentic frameworks that coordinate perception, decision-making and control across devices. Ambarella’s low-power systems-on-chip (SoCs) integrate proprietary and highly efficient perception and deep learning neural network AI accelerators, enabling electronic systems to become more productive with partial or complete levels of machine autonomy. For more information, please visit www.ambarella.com.
Media Contacts
ZEDEDA:
Treble
Sarah Vandiver
zededa@treblepr.com
Ambarella:
Jonathan Miller
jmiller@ambarella.com
FAQ
AI-generated questions and answers. How Rhea-AI works. Not financial advice.
What specific capabilities does the Ambarella–ZEDEDA integration provide on edge devices?
The integration lets ZEDEDA's Edge Intelligence Platform deploy, update and operate Ambarella-optimized AI models on-device, with verified inference on Ambarella's AI acceleration engine, full observability and lifecycle management, support for containerized, virtualized and Kubernetes workloads via EVE-OS, and orchestration of vision, language and multimodal AI workloads at fleet scale from a single control plane.
Which Ambarella products are initially supported and what is the developer path?
Support begins with the Ambarella N1-655 platform running EVE-OS. Ambarella's broader edge AI platform spans 12 SoC families that support more than 200 AI model architectures in customer production, which can now be orchestrated at fleet scale through ZEDEDA. Development kits featuring Ambarella technology with EVE-OS preinstalled are expected to be available via Ambarella's DevZone.
What use cases are the companies prioritizing with this collaboration?
The initial focus is on applications where AI must run locally with low latency, high reliability and limited power, including robotics and autonomous machines, industrial automation and machine vision, intelligent cameras and smart infrastructure, automotive and mobility, retail and logistics, and connected industrial equipment.
How do the companies plan to scale this partnership over time?
The partners have outlined a five-phase strategic roadmap that, subject to customer adoption and their decision to proceed, includes potential deployments across hundreds of thousands of managed edge nodes at more than one hundred enterprises over 5–7 years, with associated Ambarella revenue that could exceed hundreds of millions of dollars. These are described as planning objectives, not minimum purchase commitments or guaranteed forecasts.
Where can interested parties see the joint solution demonstrated?
The integration will be showcased at the AI Infra Summit 2026, held September 15–17 at the Santa Clara Convention Center. Demonstrations will run on the Ambarella N1-655 platform, including deployment of the Ambarella YOLOX model from ZEDEDA's Model Hub, and Kubernetes-based AI workloads on Ambarella CV7, with ecosystem partners Roboflow and Liquid AI participating.
How can customers or developers gain early access to the solution?
Early access customers can already use EVE-OS support for the Ambarella N1-655. The companies state that interested organizations should contact ZEDEDA or Ambarella directly for early access and further integration details.