Spectro Cloud

What Spectro Cloud does

Spectro Cloud provides PaletteAI, a unified platform for enterprises, sovereign AI clouds, and public sector organizations to build, govern, and operate AI infrastructure across various environments, from edge to cloud and bare metal to models. It manages VMs, containers, and AI workloads with a single operating model, consistent policy, access, and cost controls. The platform helps accelerate production AI, slash token costs, modernize VMs, and manage Kubernetes fleets and edge computing deployments. Spectro Cloud also offers turnkey solutions for AI inference and VM migration, supporting both NVIDIA and AMD GPUs, and ensuring security and compliance for regulated environments.

Products

• PaletteAIThe unified platform to design, deploy and manage AI and cloud-native infrastructure, at any scale. It builds, governs, and scales every layer across every environment and workload, from single-cluster turnkey appliances to thousands of clusters.
• PaletteAI Inference LaunchpadA turnkey, local-first inference solution that runs modern open-source models on AMD or NVIDIA GPUs to control token costs. It includes a pre-validated open model, an intelligent proxy for routing/quota/multi-tenant isolation, a local UI, and an OpenAI-compatible API.
• PaletteAI VM LaunchpadA turnkey solution for running VMs and containers on your own hardware, designed for quick VM migration off VMware. It's a complete virtualization platform that arrives as one package, operates disconnected, and supports both VMs and containerized applications.
• PaletteA Kubernetes lifecycle management platform designed for enterprises, offering services for migration to Amazon EKS, unified fleet management, and day 2 operations. It allows defining and modeling the full stack of clusters with declarative blueprints.
• Palette VerteXAn edition of the Palette management platform designed specifically for the public sector and highly regulated industries, enabling deployment and management of AI/ML applications on Kubernetes at the edge, securely and at scale. Available as self-hosted or FedRAMP SaaS.
• Kairos support servicesProfessional technical support for Kairos, an open-source tool, offered in Basic and Production tiers, providing access to expert engineers from Spectro Cloud.

Key capabilities

• Unified management for VMs, containers, and AI workloads
• Consistent policy, access, and cost controls
• Full-stack orchestration from metal to model
• Declarative, repeatable cluster profiles
• Versioned, reusable profiles for infrastructure and applications
• Curated catalog and bring-your-own packs
• GPU discovery, pooling, and allocation for AI workloads
• Zero-downtime rolling upgrades
• Scheduled backups, OS patching, and certificate rotation
• Health and usage monitoring
• Multitenancy with tenant and project isolation
• RBAC, multi-tenancy, and quotas
• CIS benchmark, penetration, conformance, and SBOM scans
• VMs on Kubernetes
• Virtual clusters for isolation
• Air-gapped deployment support
• Sovereign and regulated environment support
• Support for NVIDIA and AMD stacks
• Intelligent proxy for inference routing, quota, and multi-tenant isolation
• OpenAI-compatible API for inference
• Immutable software images for OS and Kubernetes distribution
• Native security scans (KubeBench, KubeHunter, Sonobuoy)
• FIPS-certified TRL-9 product
• Self-hosted, SaaS, or air-gapped deployment options for Palette
• Dedicated SaaS option for Palette
• EU multi-tenant SaaS option for Palette
• GPU-aware scheduling for research workloads
• Cost insights for chargeback and funding bodies

Use cases

• Building AI factories
• Slashing token costs for AI inference
• VM modernization and migration off VMware
• Managing Kubernetes fleets (cloud-native operations)
• Rolling out edge computing and Edge AI deployments
• Delivering AI as a Service (AIaaS)
• Standing up sovereign AI infrastructure
• Accelerating AI adoption at the edge across the DoD
• Distributed AI training on NVIDIA HGX systems
• Full-stack AI platform delivery in air-gapped environments
• Migrating to Amazon EKS
• Bringing legacy VMs into K8s clusters for unified cloud-native operations
• Automating day 2 tasks (patching, backups)
• Securing Kubernetes clusters
• Supporting research-grade Kubernetes for AI models, simulations, and data pipelines
• Managing HPC nodes for specialized workloads
• Standardizing Kubernetes operations at scale for manufacturing execution systems (MES)
• Enterprise Kubernetes-as-a-Service for internal application teams

AI approach

Spectro Cloud provides an AI infrastructure management platform, PaletteAI, that helps organizations build, govern, and operate AI infrastructure across various environments. It focuses on managing VMs, containers, and AI workloads in one place, offering consistent policy, access, and cost controls. The platform supports GPU cluster management, AI inference, and AI factories, enabling the deployment of AI models and training workloads. Spectro Cloud also offers PaletteAI Inference Launchpad for local-first inference using open-source models on AMD or NVIDIA GPUs to reduce token costs, and PaletteAI VM Launchpad for VM migration and modernization.

Tech named: NVIDIA, AMD, Run:ai, ClearML, Kubernetes, OpenShift, NVIDIA HGX systems, Spectrum-X networking, NVLink, GLM 5.2, DeepSeek v4 Pro, Gemma 4, Kimi K2.7, OpenAI-compatible API, Kubeflow, Flyte, Ubuntu, Kairos, KubeBench, KubeHunter, Sonobuoy, Cluster API, Terraform, LXD, Crossplane, Tigera, Karpenter, ngrok

Industries served

• Software Development
• Healthcare
• Public Sector
• Defense
• Pharmaceutical
• Life Sciences
• Manufacturing
• Financial Services
• Telecommunications
• Higher Education
• Research

What it says sets it apart

• Manages VMs, containers, and AI workloads in one place with one operating model
• Consistent policy, access, and cost controls everywhere
• Runs in air-gapped, sovereign, and regulated environments
• Fast lane to production AI, achieving results like production AI in 30 days and 70% higher GPU utilization
• Slash token costs by 70% with local model routing for dev inferencing
• VM Liftoff Kit for off-VMware migration in 4 weeks with 40% less spend
• 10x more clusters per engineer, 168x faster provisioning
• Roll out edge 10x faster, saving millions
• One platform for the whole lifecycle, from day zero to thousands of clusters
• Full-stack orchestration from metal to model, not a point solution layered onto Kubernetes
• Ability to define and model the full stack of clusters, creating a library of declarative blueprints
• Powerful automation for scale and consistency in Kubernetes migrations
• Abstraction layer for IaC differences across environments
• Turnkey inference solution running on both AMD and NVIDIA with the same operational model
• Security-hardened to US federal standards (FIPS 140-3) and runs in fully disconnected environments
• Trusted by US Air Force, Army, Navy, and large Global Federal System Integrators
• Offers professional technical support for Kairos, being the company that built and sponsors it

Funding rounds we track

From the AI funding tracker — rounds as reported by the linked publications.