DEEPX Greengrass Solution

As described on AWS Marketplace.

DEEPX Greengrass Solution delivers an end-to-end path from trained model to edge inference through a single AWS CloudFormation deployment. It launches the DEEPX Compiler pipeline, spinning up the DEEPX Compiler AMI to convert your ONNX models into optimized .dxnn binaries for DEEPX NPUs, and, in the same template, provisions the AWS IoT Greengrass infrastructure (thing group, token-exchange role, and a managed deployment) that rolls the DEEPX NPU runtime out to your edge fleet. Model compilation and edge runtime provisioning are unified in one deliverable, so you go from ONNX to inference-ready devices without stitching together separate tools. On the compile side, the pipeline runs dxcom on the DEEPX Compiler AMI and writes the resulting .dxnn artifacts back to your S3 bucket. On the edge side, the com.deepx.dx-runtime Greengrass component installs and verifies the full runtime stack on every core device in the correct order: the NPU Linux driver (DKMS), device firmware, the dx_rt runtime, and the dx_stream GStreamer pipeline. Installation is idempotent: the component detects the currently installed driver and firmware versions and skips any target already up to date, so firmware flashing, driver builds, and runtime compilation run over-the-air, safely, across redeployments and fleet-wide version upgrades on both aarch64 (e.g. Raspberry Pi) and x86_64 hosts. The solution ships with a guided web console to compile models, configure the target IoT thing group, select the runtime version, and validate the full deployment before launch. It is built for teams operating DEEPX M1 NPU devices at the edge who need a repeatable, versioned, fleet-scale path from model compilation to deployed inference. Keywords: DEEPX NPU, ONNX compiler, dxnn, AWS IoT Greengrass, edge AI, NPU runtime, over-the-air deployment, firmware flashing, dx_rt, dx_stream, M1 NPU, edge inference.

Highlighted by the publisher on AWS Marketplace.

End-to-end model-to-edge in one deployment: a single AWS CloudFormation template compiles your ONNX models to optimized .dxnn binaries on the DEEPX Compiler AMI and provisions the AWS IoT Greengrass infrastructure that rolls the DEEPX NPU runtime out to your entire edge fleet, with no manual per-device setup.

Complete NPU runtime, installed and verified over-the-air: the com.deepx.dx-runtime Greengrass component installs the NPU driver, device firmware, dx_rt, and dx_stream in the correct order on every core device, with idempotent version checks that safely skip targets already up to date across redeployments and fleet-wide upgrades.

Built for DEEPX M1 NPU fleets at scale: guided web console to compile models, target an IoT thing group, pin the runtime version, and validate before launch. Repeatable, versioned edge AI provisioning on both aarch64 (Raspberry Pi) and x86_64 hosts.

As stated by the publisher on AWS Marketplace.

This product is offered free of charge. As there are no charges for its use, no refunds are applicable. For any questions, please contact: info@deepx.ai