EdgeGate is a hardware-in-the-loop CI/CD platform that runs automated regression tests on real Snapdragon devices through Qualcomm AI Hub. It provides deterministic CI gating with signed evidence bundles for edge AI deployments.

How does EdgeGate test on real devices?

EdgeGate orchestrates test runs on physical Snapdragon chipsets via Qualcomm AI Hub. Your model is compiled and profiled on real hardware, capturing actual latency, accuracy, and thermal behavior that emulators cannot reproduce.

What CI/CD systems does EdgeGate integrate with?

EdgeGate integrates with GitHub Actions and any CI/CD system that supports webhooks. A single YAML file configures the integration, and results appear as PR checks that can block merges on regression.

What are signed evidence bundles?

Every EdgeGate test run produces a cryptographically signed evidence bundle containing SHA-256 hashes and Ed25519 signatures. This provides an auditable proof that your AI model was validated on real hardware — useful for team reviews and regulatory compliance.

Is EdgeGate free to use?

Yes. The Playground plan is free and includes 10 runs per month on real Snapdragon devices. Paid plans (Pro at $49/month, Team at $149/month) offer more runs, additional features like flake detection, RBAC, and API access.

Do I need my own Qualcomm AI Hub API key?

The free Playground plan includes hosted device access. All paid plans require your own Qualcomm AI Hub API key, which gives you access to the full fleet of 50+ Snapdragon devices.

X - Reasoning Distillation Snapdragon On-Device Inference

1/ Reasoning distillation is quietly 2026's most important AI trend. o3-level reasoning compressing onto Snapdragon hardware. Not 2027. Now.

2/ Adaline Labs: six transitions defining AI this year. Reasoning distillation to edge is one of them. → https://labs.adaline.ai/p/the-ai-research-landscape-in-2026

3/ The mechanism: distill reasoning traces from a frontier model into a 3B–7B model via RL fine-tuning. Multi-step logic, self-correction, tool-use — no cloud hop.

4/ On Qualcomm AI Hub targets — Snapdragon X Elite, 8 Gen 3 — distilled models are hitting sub-100ms p99. Regression gates that needed cloud calls can now run fully on-device.

5/ EdgeGate runs ML tests on real Snapdragon devices and produces signed evidence bundles for CI/CD. Distilled reasoning models mean those tests can now cover complex inference scenarios without any cloud dependency.

Source: https://labs.adaline.ai/p/the-ai-research-landscape-in-2026