Spectro Cloud
by Spectro Cloud
Turn AI silicon into production infrastructure across cloud, edge, and sovereign environments
Spectro Cloud is a Kubernetes-native AI infrastructure management platform that lets platform and operations teams build, govern, operate, and scale full-stack infrastructure — from GPUs and OS to models and apps — across data center, edge, neocloud, and sovereign environments. It targets enterprises, public-sector agencies, and organizations standing up production AI clouds.
At a Glance
- Category
- Infrastructure & Cloud
- Pricing
- Subscription, Contact for pricing
- Target Market
- CTOs, CIOs, Platform Engineers, IT Administrators
- Founded
- 2019
- Headquarters
- San Jose, CA, United States
- Customers
- Customers include T-Mobile, Airbus, U.S. Air Force, and Yum! Brands
Key Features
- ✓Full-stack cluster profiles
Declarative, repeatable profiles manage OS, Kubernetes, storage, networking, GPU, models, and apps — not just the cluster.
- ✓PaletteAI
Purpose-built to build, govern, operate, and scale AI infrastructure from GPU clusters and AI factories to distributed inference, with multi-silicon and model flexibility.
- ✓Edge and air-gapped support
Runs across distributed, disconnected, air-gapped, and classified environments with FIPS 140-3 certification.
- ✓Unified VM, container, and AI management
A single control plane governs virtual machines, containers, and AI workloads across thousands of clusters.
- ✓Multi-environment portability
Consistent operations across enterprise, public-sector, neocloud, and sovereign cloud environments.
Capabilities
Use Cases
- •Production AI infrastructure
Take GPU clusters and AI factories from bare metal to production inference in weeks.
- •Edge Kubernetes at scale
Deploy and govern thousands of consistent clusters across distributed and disconnected sites.
- •Sovereign and government AI
Run regulated, air-gapped, FIPS-certified AI workloads for public-sector and defense customers.
Ideal For
Best For
- ✓Managing GPU and AI infrastructure at scale
- ✓Kubernetes lifecycle across data center and edge
- ✓Air-gapped, sovereign, and public-sector AI deployments
Integrations
Deployment
Market & Ratings
Customers include T-Mobile, Airbus, U.S. Air Force, and Yum! Brands
Market Analysis
Pros
- ✓Manages VMs, containers, and AI from one control plane
- ✓Strong edge, air-gapped, and sovereign/government support
- ✓Declarative profiles give repeatable, consistent scale
Cons
- ✗Enterprise-only, quote-based pricing
- ✗Kubernetes-centric approach suits platform-engineering-mature teams
Pricing
Enterprise
Contact for pricing
- ✓Full-stack Palette management
- ✓PaletteAI for GPU/AI infrastructure
- ✓Edge & air-gapped support
- ✓Multi-cluster orchestration at scale
Enterprise pricing is quote-based; a free trial of Palette is available. No public list pricing.
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