1. [Home](https://www.g2.com/) 2. ... 3. [Enterprise Kubernetes Management Software](https://www.g2.com/categories/enterprise-kubernetes-management) 4. [Spectro Cloud Palette Discussions](https://www.g2.com/products/spectro-cloud-palette/discuss) [ ![Spectro Cloud Palette](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_017f78199d7892485ecd034af4983227/spectro-cloud-palette.png "Spectro Cloud Palette") ![Reward for good Spectro Cloud Palette reviews](https://images.g2crowd.com/uploads/report_medal_translation/image/39118/medal.svg "Reward for good Spectro Cloud Palette reviews") ](/products/spectro-cloud-palette/reviews) # Spectro Cloud Palette Discussions Spectro Cloud brings simplicity and control to organizations running VMs, Kubernetes and AI infrastructure at any scale, from the far edge to the data center, the cloud and the AI factory. With PaletteAI, platform engineers, architects, MLOps and devops teams at enterprises, public sector organizations, neoclouds and sovereign clouds can build, deploy, govern and scale full-stack environments from one control plane. That covers everything from bare metal to model, across edge sites, data centers, public clouds, AI factories, and regulated or air-gapped locations, and you keep the freedom to choose every layer of the stack: OS, Kubernetes distribution, storage, networking, NVIDIA or AMD GPUs, AI platforms and models. In the AI factory, PaletteAI takes GPU infrastructure from loading dock to production in as little as 30 days on validated full stacks, with GPU utilization, tenancy and governance built in. Designed for mission-critical environments, the platform combines the flexibility of non-opinionated design with enterprise-grade governance, security and repeatability. Declarative cluster profiles define each layer of the stack once, then roll it out consistently to thousands of clusters, with automated upgrades, patching and drift remediation. GigaOm describes our cluster profiles and templates as "arguably the most mature modeling capability in the market." RBAC, multi-tenancy, quotas, and GPU and token controls put every team inside the same guardrails. Because VMs and containers run side by side on the same cloud-native stack, you can modernize at your own pace and move off legacy hypervisors when you're ready (one enterprise migrated 24,000 VMs in under nine months). When you need results fast, PaletteAI Launchpads are turnkey, locally managed solutions for urgent outcomes. PaletteAI Inference Launchpad routes inference requests between local open-weight models and frontier models according to your policies, with metering, quotas and multi-tenant controls, helping cut token costs by up to 70%. It's the software layer inside AMD Instinct Coder, the turnkey AI coding solution we co-designed with AMD and Supermicro. Our VM Launchpad gives you a turnkey path off VMware. Start with a Launchpad, then scale into centralized lifecycle management, governance and fleet operations on the same platform. With PaletteAI VerteX, we provide additional security and compliance for government, defense, regulated industries and sovereign AI. VerteX uses FIPS 140-3 validated cryptographic modules, supports AWS and Azure GovCloud as well as air-gapped, disconnected and classified environments, lets you bring your own STIG-compliant OS, and includes premium support from US citizens in the continental United States. We're FedRAMP Class C (Moderate) certified, GovRAMP authorized and TX-RAMP certified, approved under the Joint Certification Program (JCP), and awardable on the Tradewinds and P1 Solutions Marketplaces. At the edge, PaletteAI gives you unique capabilities to deploy, manage and secure software stacks across thousands of sites, including low-touch onboarding where devices enroll themselves, immutable OS images with trusted boot and TPM support, zero-disruption over-the-air updates, two-node high availability to cut hardware costs, and local management for sites with limited connectivity. A decentralized architecture keeps clusters running and enforcing policy when the network drops, and customers have reduced edge operational costs by up to 90% by cutting out truck rolls. We're lead sponsor of Kairos, the CNCF Sandbox project for immutable edge Linux, and the team behind Hadron, a lightweight, security-first Linux base. Spectro Cloud is a certified Kubernetes service provider and certified Kubernetes distribution in the CNCF landscape, and a certified AI platform under the CNCF Kubernetes AI Conformance program. We're members of the CNCF, LF Edge, OpenSSF and the Agentic AI Foundation. GigaOm named us a Leader in its 2026 Radars for Kubernetes Management Solutions and Kubernetes for Edge Computing, our third consecutive year as a Leader in both. We're a Strong Performer in The Forrester Wave™: Multicloud Container Platforms, Q3 2025, which found our current offering "on or above par across the board with no obvious gaps." We're also on the CRN AI 100 and Cloud 100 lists for 2026, an STL Top Edge Computing Company for 2026, and a Gartner Cool Vendor in Edge Computing. We're an NVIDIA Preferred Partner and an AWS partner with Containers, Government Software, Retail ISV, Consumer Goods Software, and Manufacturing and Industrial competencies, and we hold SOC 2 Type II, ISO 27001 and UK Cyber Essentials Plus certifications. We're trusted by leading public sector organizations including the U.S. Army, Navy and Air Force, and by demanding commercial enterprises including T-Mobile, Airbus, Yum! Brands, GE HealthCare, Chipotle, Saint-Gobain, BMC Helix, Dentsply Sirona, RapidAI, Iron Mountain and many more. ## Be the first to start the conversation Get answers from real professionals in the G2 community.