Deploy Tinkerblox UltraEdge HPC-I for AI and mixed workloads on Arm
Introduction
Explore UltraEdge HPC-I architecture for edge AI
Provision a Google Axion C4A VM for Yocto image builds on Arm
Build Yocto images for NXP S32G-VNP-GLDBOX3 with UltraEdge
Install UltraEdge on Debian and Ubuntu for Edge AI workloads
Run and manage UltraEdge HPC-I for AI and mixed workloads on Arm
Next Steps
Deploy Tinkerblox UltraEdge HPC-I for AI and mixed workloads on Arm
Introduction
Explore UltraEdge HPC-I architecture for edge AI
Provision a Google Axion C4A VM for Yocto image builds on Arm
Build Yocto images for NXP S32G-VNP-GLDBOX3 with UltraEdge
Install UltraEdge on Debian and Ubuntu for Edge AI workloads
Run and manage UltraEdge HPC-I for AI and mixed workloads on Arm
Next Steps
Review frequently asked questions
These FAQs were drafted with an approved AI-assisted workflow and reviewed by Arm contributors before publication. Human technical review remains part of the process so the final page reflects engineering rigor, accuracy, and Arm editorial standards.
UltraEdge provides an edge-native execution fabric for AI and mixed workloads. Review its layered architecture and see how MicroStack and MicroPac support workload packaging and deployment on Arm-based systems.
The C4A virtual machine provides the environment for building the image for the target NXP board.
Yes. Install and activate the UltraEdge agent on Debian or Ubuntu, then use MicroPac tooling to define, build, validate, and install workloads.
Use the
NXP S32G-VNP-GLDBOX3 platform with BSP 38.0, an AArch64 Ubuntu build host, the required Yocto layers, and the meta-edgeblox.zip layer requested from Tinkerblox support. Yocto builds can take several hours depending on the available resources.Use the Tinkerblox CLI on Debian or Ubuntu, or the MicroBoost CLI on the Yocto-based device, to install, start, stop, monitor, and diagnose MicroPac-based workloads. You can also use the CLIs to inspect system state and troubleshoot common connection and architecture issues.