Why Spectro Cloud for edge computing

Simple, flexible management for all your clusters, with the security and control you need.

Edge computing platform
Edge Infrastructure

Edge infrastructure that works where you do

Half of Kubernetes adopters are already running clusters at the edge, according to our 2025 State of Production Kubernetes research. But edge isn't the cloud. There's no hyperscaler absorbing your operational complexity. You own the hardware, the network, the lifecycle management — and every additional site multiplies your overhead, risk, and compliance surface.

Spectro Cloud Palette manages the full infrastructure stack, from OS to application, across hundreds or thousands of edge locations. Centralized control with local resilience: your clusters keep running even when they can't reach home.

Deploy at scale without the truck rolls

Scaling an edge fleet is expensive. A single site visit can cost $400–$1,200, and when you're managing thousands of locations, field engineering becomes one of the largest line items in your operating budget. The cost of deployment is consistently cited as the biggest challenge in edge adoption.

Palette tackles the moments that matter. Low-touch provisioning means devices arrive pre-configured — your team plugs them in, and the cluster enrolls automatically. Zero-disruption over-the-air updates push new applications, security patches, or full stack upgrades across your fleet from a single interface, without taking systems offline or dispatching technicians. Organizations using Palette have seen up to 90% reduction in operational costs by eliminating field engineering visits.

Analyst rating for Palette Vertex
“It's expensive to do a truck roll, so as much as you can do plug-and-play the better. The beauty is we can do it all remotely. We can upgrade one node at a time and then everything is back online within a matter of 30, 45 minutes.”
Ryan Good
SRE Director
Quote from our customers
“Our products are life-critical — we can't afford delays in diagnosis or care. Spectro Cloud provides us with that reliability.”
Mani Benjamin
Sr. Product Manager

Resilient when connectivity drops

When the network goes down, most edge solutions stop working. Palette's decentralized architecture means your edge clusters enforce policies and keep applications running locally, even when they can't reach central management. That kitchen system keeps processing orders. That manufacturing line continues operating.

Our dynamic network overlay keeps clusters connected and operational even when the underlying network unexpectedly changes — an office moves, an ISP switches your connection, emergency failover kicks in — and your applications keep running while the platform adapts in the background.

Your stack, your choice

Edge platforms often force trade-offs: pick a vendor's ecosystem or build everything yourself. Palette gives you a different model. Choose any CNCF-compatible components — your preferred OS (including our lightweight Hadron Linux, a minimal sub-100MB immutable distribution built by the Kairos maintainers), Kubernetes distribution, storage interface, networking layer, and applications.

Need to run legacy VMs alongside modern containers? Palette's Virtual Machine Orchestrator (VMO) lets you manage both through a single control plane — no need to maintain parallel infrastructure stacks. One Fortune 500 restaurant chain chose Palette specifically for this capability, running VMs and containers side by side as they modernize at their own pace.

Choose your tech stack
AI at the Edge

AI at the edge

AI isn't just living in the cloud. It's moving to factory floors, hospitals, stores, and vehicles — with big budgets, but also big concerns, as our State of Edge AI research found.

Spectro Cloud customers like RapidAI, Dentsply Sirona, and Yum! Brands have been running demanding AI workloads at the edge with Palette for years — from real-time stroke detection to in-store computer vision.

Cloud to edge with AWS

For organizations already invested in AWS, Palette bridges the gap between cloud and edge. We work with AWS on two complementary approaches:

AWS Outpost

AWS Outposts: Outposts are the most convenient way to bring AWS to the edge — but when connectivity drops, management stops. Palette can reprovision your Outposts servers with a local Kubernetes control plane, keeping full visibility, lifecycle control, and automation even if the service link is severed for weeks or months.

EKS hybrid nodes

EKS Hybrid Nodes: As a launch partner for Amazon EKS Hybrid Nodes, Palette automates the bootstrapping and lifecycle management of hybrid nodes, extending your EKS clusters from cloud to on-premises and edge locations.

Our AWS partnership includes Containers Competency, Government Software Competency, Retail ISV, and Well-Architected Review designations.

Enterprise AI infrastructure

Security from the ground up

Edge deployments expand your attack surface. Devices are unattended, physically exposed, sitting on third-party networks, potentially without regular patches. Palette addresses this with security built into every layer: SBOM vulnerability scans, immutable OS images, hardened configurations, trusted boot with TPM support, and encryption for data in transit and at rest.

For government and regulated industries, Palette VerteX adds FIPS 140-3 certified cryptography. We maintain SOC 2 Type II, ISO 27001:2022, and UK Cyber Essentials Plus certifications. FedRAMP Moderate authorization is in progress.

For defense applications, we work with partners like SNUC to deliver ruggedized hardware pre-integrated with Palette VerteX — accelerating ATO timelines for secure, AI-ready tactical edge deployments. Palette also supports VMs at the tactical edge, running containers and virtual machines on the same infrastructure without the weight of legacy hypervisors.

Edge deployments in production

YUM!Brands client logo

The world's largest restaurant company is building a unified cloud-to-edge architecture across more than 40,000 locations with Palette, enabling AI/ML workloads while improving uptime and operational agility.

Anonymous customer story icon

A Fortune 500 QSR chain achieved 10x faster edge rollouts and more than $4 million in projected three-year opex savings, displacing an incumbent OpenStack stack with Palette's unified VM-and-container management.

Anonymous customer story logo

Deploying Palette-managed edge Kubernetes across thousands of US locations, with pilot projects underway for robotics-assisted food prep, computer vision for quality control, and smarter in-store analytics.

RapidAI client logo

Manages more than 600 edge clusters and 25 EKS clusters supporting thousands of hospitals across 100+ countries, processing over 14,000 daily scans with near zero-downtime upgrades.

Dentsply Sirona client logo

The world's largest dental products manufacturer, deploying edge AI for intraoral scanning and 3D imaging across thousands of clinics.

HighTouchTechnologies client logo

Uses Palette to remotely manage Kubernetes clusters powering its Nigel restaurant platform, maintaining operational continuity despite unstable internet connections

GE Healthcare client logo

Uses Palette across its Patient Care Solutions (PCS), for life-critical use cases to the bedside.

US Army and American Navy client logos

Trust Palette VerteX for tactical deployments where missions can't depend on perfect connectivity.

Analyst recognition

GigaOm Radar Leader – Edge Computing  
‍2024, 2025, & 2026
GigaOm Radar Leader – Edge Computing  

2024, 2025, & 2026
Forrester Wave – Strong Performer for Multicloud Container Platforms 2025
Forrester Wave – Strong Performer for Multicloud Container Platforms
2025
STL Top Edge Computing Company 2023, 2024, 2025, & 2026
STL Top Edge Computing Company
2023, 2024, 2025, & 2026
CRN Top 100 Edge Computing2025
CRN Top 100 Edge Computing
2025
Gartner Cool Vendor in Edge Computing 
 2022
Gartner Cool Vendor in Edge Computing 

2022

How Spectro Cloud compares

vs. Sidero

Sidero's Talos Linux leads with simplicity, but its proprietary init system limits OS choice. Palette supports multiple OS options through Kairos (including lightweight distributions), adds enterprise multi-tenancy, comprehensive compliance credentials, unified VM and container management, and full Day 2 lifecycle operations.

vs. Avassa

Avassa handles containerized application orchestration, but doesn't manage the infrastructure underneath — the OS lifecycle, security hardening, or air-gapped operations. Palette manages your entire stack from bare metal to application, with decentralized policy enforcement that keeps clusters running when connectivity drops.

vs. Zededa

Zededa's edge platform is built around VMs, with containers added later. If Kubernetes is your strategic platform, Palette is Kubernetes-native from the ground up, with GPU stacks for AI, 2-node HA for cost efficiency, and GitOps integration.

vs. SUSE Edge

K3s through Rancher works until you need components outside the SUSE ecosystem. Palette gives you genuine choice: any OS, any Kubernetes distribution, any infrastructure — with trusted boot and TPM support included.

vs. Red Hat Edge

OpenShift everywhere is Red Hat's approach: MicroShift for small edges, full OpenShift for large. Palette supports any distribution, manages mixed clouds (EKS, AKS, GKE), and doesn't require you to adopt an opinionated stack. Talk to us for a detailed comparison.

An Open Source Soul graphic

Open source

Spectro Cloud is the primary sponsor of Kairos, a CNCF Sandbox project — a Linux meta-distribution designed for immutable edge deployments. Kairos provides trusted boot, A/B upgrades, built-in immutability, and automated installation. Hadron, our lightweight security-first Linux base, forms part of the project. If you're building your own edge images, Kairos and Hadron give you production-grade foundations.

Get started

Talk to our team about your edge requirements
Read our customer stories to see what Palette Edge looks like in production
Get the economics paper for a practical guide to edge ROI and risk.
Explore the edge Kubernetes checklist for a practical evaluation framework.
Read the State of Edge AI report for the latest research on how enterprises are operationalizing AI at the edge.