Intel Says More Than 130 Edge-Device Design Teams Are Using its Series 3 Chips for Robotics and AI

Intel reported momentum in robotics and edge artificial intelligence, saying more than 130 customer design engagements are using the Intel Series 3 processor family for edge AI and edge computing systems. The company framed the push as part of a broader effort to move “physical AI” from demos into production deployments, where latency, reliability, and long-term maintenance costs matter.

Intel’s announcement, published May 31, 2026, also pointed to a specific deployment in retail robotics. Sensory AI, the company behind “Ella,” has moved to Intel architecture for what Intel described as the first multi-agent Physical AI store running in public commercial service.

In Intel’s account, Sensory AI replaced what it described as a fragmented setup, combining a central processing unit with a discrete accelerator, with a single Intel Core Ultra Series 3 platform to handle both real-time robot control and on-device AI. Intel said the result is a “multi-agent Physical AI store” in which three specialized agents (Avatar, Guardian, and Ella Agent) run concurrently on a single system-on-chip, coordinating customer conversation, system operations, and store-level business intelligence under a deterministic orchestrator.

Intel used the example to argue that consolidating workloads can remove an entire class of components and reduce software complexity, which it said can improve return on investment and make it easier to scale future robot designs to new Intel platforms. Dan Rodriguez, corporate vice president in Intel’s Edge Computing Group, said physical AI has been slowed by fragmented software stacks and one-off integrations for each robot, and that Intel Core Ultra Series 3 with OpenVINO Physical AI provides a “unified, open, and scalable path” from experimentation to production-grade robots that use hardware-accelerated inference.

Beyond the Sensory AI case study, Intel introduced OpenVINO Physical AI as a new open-source robotics deployment approach aimed at bridging the gap between AI experimentation and fleet-scale deployment. Intel described it as an Intel-optimized framework designed to address the costs and scaling challenges that have accompanied robotics deployments built with highly customized pipelines.

Intel paired OpenVINO Physical AI with Physical AI Studio, which it says is part of its Robotics AI Suite. Physical AI Studio is intended to support data collection and model tuning workflows, including optimization and quantization, then export pre-validated, fine-tuned vision-language-action (VLA) models for deployment. Intel described OpenVINO Physical AI as the runtime layer that standardizes how robot policies and multimodal models move from those workflows into physical robot systems while maximizing inference performance.

Intel positioned the tooling around what it called a shift in robotics from deterministic systems to autonomous physical AI systems that must perceive, reason, and act safely in the real world with millisecond-accurate timing. It said that until now, large-scale deployments often required customized handling for sensors, codecs, inference loops, and actuation, which could lock teams into expensive dual-compute architectures that are difficult to deploy and maintain across many robot types.

To support that scaling story, Intel said the combination of Intel Core Ultra Series 3 and OpenVINO Physical AI is intended to lower total cost of ownership, reuse more code across different robot types, and scale fleets across factories, warehouses, and retail environments. Intel also described the broader robotics portfolio as including software tools in the Robotics AI Suite, partner development kits, and Intel Core Ultra Series 3 and Intel Core Series 3 processors designed for robotics and edge AI.

Intel did not disclose which customers make up the “130+” design engagements, nor did it provide performance benchmarks, cost reductions, or specific production outcomes tied to the Series 3 deployments. The company also set expectations around timing for its software roadmap, saying OpenVINO Physical AI preview is available on GitHub and general availability is expected in the second half of 2026, while Physical AI Studio is available now.