Question 1

What is Palette EdgeAI?

Accepted Answer

Palette EdgeAI is a feature set within Spectro Cloud Palette that enables full-stack deployment and management of AI applications at the edge — from OS and Kubernetes to models and engines — with security, automation, and scale.

Question 2

What problems does Palette EdgeAI solve?

Accepted Answer

It simplifies the challenge of running AI at the edge by automating infrastructure provisioning, model onboarding, secure updates, and lifecycle management — even in disconnected or constrained environments.

Question 3

How does Palette EdgeAI deploy AI models?

Accepted Answer

From the Palette UI or API, users define cluster blueprints with integrated AI engines (like Kubeflow or LocalAI), add models from Hugging Face or internal repos, and deploy these to x86 or Arm edge devices at scale.

Question 4

Can Palette EdgeAI upgrade models without downtime?

Accepted Answer

Yes. It supports version-controlled model updates, canary deployments, and rollback — all without taking devices or clusters offline.

Question 5

What security features does EdgeAI include?

Accepted Answer

EdgeAI includes disk encryption, secure boot, immutability, SBOM scanning, and RBAC — ensuring your data and models are protected even at the tactical edge.

Question 6

Why choose Spectro Cloud for edge AI?

Accepted Answer

Spectro Cloud’s EdgeAI platform offers proven scalability, compliance, and support. It’s trusted by leaders like GE HealthCare and backed by a decentralized architecture built for performance and resilience at scale.