Multiple hardware families
The lineup spans credit-card-sized boards, compact systems, and AI development kits, giving users different form factors for embedded and edge deployments.
UP edge computing hardware for industrial automation and AI development, with Intel-based boards, systems, and AI development kits.
UP is a hardware lineup for edge computing and AI development, centered on small-form-factor boards, industrial systems, and dedicated AI development kits. The site positions the range for industrial use, next-generation automation, and AI-driven edge applications such as video analytics, inspection, access control, and smart city deployments.
The catalog includes board families such as UP 4000, UP 7000, UP 710S, UP Squared, UP Squared V2, UP Squared 7100, UP Squared Pro, and several UP Xtreme variants, plus edge systems and the UP AI Development Kit line. The AI kit page emphasizes developer-ready bundles with Intel-based compute, optional AI accelerator modules, pre-installed Ubuntu Pro 24.04 LTS on evaluation units, and an AI software suite for building and deploying edge AI workflows.
The lineup spans credit-card-sized boards, compact systems, and AI development kits, giving users different form factors for embedded and edge deployments.
Several products are built on Intel platforms, including Intel Processor N-series, Intel Core Ultra, Intel Pentium, Intel Celeron, and Atom series processors.
The UP AI Development Kit page highlights pre-installed Ubuntu Pro 24.04 LTS on evaluation units together with the AI Software Suite.
The AI development kits support AI accelerators from Hailo, DEEPX, and Axelera AI, with the page citing up to 214 TOPS on the UP Squared Pro TWL AI Dev Kit and 83 TOPS on the UP Xtreme ARL AI Dev Kit.
The kit page describes camera support beyond the bundled USB HD camera accessory, including MIPI-CSI support on selected models.
The site references community forums, application stories, and a white paper for the UP AI tool kit, suggesting supporting material for evaluation and deployment.
Use the UP hardware lineup for embedded AI deployments where space is limited and the board or system must fit into industrial or edge infrastructure.
Use the AI development kits to prototype or evaluate AI inference workflows with pre-installed Ubuntu Pro 24.04 LTS and the included AI software suite.
Use selected kits with supported AI accelerators and camera inputs for vision tasks such as object detection, inspection, and video analytics.
Use the board and system families in transportation, smart city, or industrial projects where application stories on the site show access control, locker systems, license plate recognition, and inspection scenarios.
Use the platform as a developer-oriented Intel-based edge computing option when you want a mix of processor choices, accessory support, and community documentation.
The site presents UP as a collection of AI edge computing devices rather than a single software product. The boards, systems, and UP AI Development Kit pages indicate that it is aimed at edge AI development, industrial automation, and AI vision workloads.
The source shows multiple hardware families, including boards, systems, and AI development kits. The exact setup depends on the selected model, and the UP AI Development Kit page notes pre-installed Ubuntu Pro 24.04 LTS with the AI Software Suite on evaluation units.
The UP AI Development Kit page states support for Windows 10/11, Ubuntu, and Yocto Project, and notes AI accelerator support for partner modules from Hailo, DEEPX, and Axelera AI. The boards and systems pages also show Intel-based platforms across the lineup.
The UP AI Development Kit page says camera support includes a default USB HD camera accessory and, for certain kits, MIPI-CSI support. It also notes that the UP TWL AI Dev Kit does not support MIPI-CSI.
The site does not present public pricing figures on the pages reviewed. The pricing page is mostly a navigation and promotional landing page, so purchase details would need to be confirmed through the store or sales contact flow.