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Co-authored-by: Karl Cardenas <[email protected]>

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Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>
Co-authored-by: Karl Cardenas <[email protected]>
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(cherry picked from commit 50c46ec)

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docs/docs-content/getting-started/additional-capabilities.md

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+---
+sidebar_label: "Additional Capabilities"
+title: "Additional Capabilities"
+description: "Learn more about Palette's Additional Capabilities."
+icon: ""
+hide_table_of_contents: false
+sidebar_position: 80
+tags: ["getting-started"]
+---
+
+Palette offers a range of additional capabilities designed to enable its users to deploy, scale, and effectively manage
+Kubernetes workloads across a wide variety of environments and deployment options.
+
+This section will introduce you to some of Palette's additional capabilities, which include:
+
+- Managing thousands of clusters in remote locations with [Edge](./additional-capabilities.md#edge).
+- Supporting high-security requirements with our FIPS-validated [VerteX](./additional-capabilities.md#palette-vertex)
+  edition.
+- Self-hosting the Palette management plane in your own environment with
+  [Self-Hosted Palette](./additional-capabilities.md#self-hosted-palette).
+- Integrating virtual machine workloads into Kubernetes environments with
+  [Virtual Machine Orchestrator](./additional-capabilities.md#virtual-machine-orchestrator).
+
+![A drawing of Palette with humans interacting](/getting-started/getting-started_additional-capabilities_palette.webp)
+
+## Edge
+
+Palette Edge enables you to deploy Kubernetes workloads in remote locations characterized by limited or intermittent
+connectivity and limited compute infrastructure. This means you can deploy Kubernetes clusters at scale and ensure
+application performance, availability, security, and lifecycle management across a diverse range of edge locations.
+These locations include hospitals, retail stores, Telco environments, restaurants, manufacturing facilities, rural
+areas, and many more.
+
+Palette Edge supports both VM and container-based workloads, multiple Kubernetes distributions, and Intel and ARM
+hardware architectures. It is built on top of the open-source project [Kairos](https://kairos.io/), which enables the
+creation and customization of immutable versions of operating systems. Additionally, Palette Edge is designed to scale
+to tens of thousands of locations while enforcing policies locally within each cluster.
+
+Edge clusters are Kubernetes clusters set up on Edge hosts. These hosts can be bare metal or virtual machines located in
+isolated locations. Palette deploys and manages workload clusters at the Edge, and the services continue operating even
+when the connection to the management plane is lost. You can manage Edge clusters locally on-site through the local UI,
+or centrally through the Palette management plane. Palette Edge is able to meet your needs, regardless of the network
+topology your deployments face. Check out the [Palette Edge](../clusters/edge/edge.md) page to learn more about Edge and
+its features.
+
+## Self-Hosted Palette
+
+By default, the Palette management plane is available as a multi-tenant SaaS deployment in a public cloud with multiple
+availability zones. Should you need it, Palette is also offered as a dedicated SaaS instance, as well as a fully
+self-hosted option that allows your teams to directly deploy and manage a private instance of the Palette management
+plane in your data center or public cloud provider.
+
+Self-hosted Palette puts you in full control of the management plane, including its configuration and the timing of
+upgrades. A self-hosted instance may be necessary to meet compliance requirements or your organization's security
+policies. You may also need to deploy an instance of Palette within an airgapped facility to manage clusters where
+access to any outside service is not possible. Explore more on the
+[Self-Hosted Palette](https://docs.spectrocloud.com/enterprise-version/) page.
+
+## Palette VerteX
+
+Palette VerteX offers a simple, flexible, and secure way for government and regulated industries to deploy and manage
+Kubernetes workloads containing sensitive and classified information. It is available as a self-hosted platform offering
+that you can install in your data center or public cloud provider.
+
+Palette VerteX is fully proven in operational environments as it has a Technology Readiness Level (TRL) 9 designation,
+making it suitable for use in high-security production environments up to Impact Levels (IL) 5, 6, and 6+. It enables
+you to deploy and manage the life cycle of multiple Kubernetes clusters in various environments. These include
+virtualized and bare metal data centers (such as [VMware vSphere](https://www.vmware.com/products/vsphere.html) and
+[Nutanix](https://www.nutanix.com/)), clouds (including [AWS](https://aws.amazon.com/govcloud-us/) and
+[Azure](https://azure.microsoft.com/en-ca/explore/global-infrastructure/government) government clouds), and edge
+locations (including air-gapped setups), which makes VerteX also appropriate for addressing challenges like intermittent
+connectivity or low bandwidth.
+
+Additionally, VerteX incorporates validated Federal Information Processing Standards (FIPS) 140-2 cryptographic modules
+into its management plane and the Kubernetes clusters it deploys. It secures data in motion through encrypted Transport
+Layer Security (TLS) communication channels, includes a suite of scanning tools, and offers CONUS support from a
+dedicated public sector team. These capabilities ensure robust data protection for your organization’s infrastructure
+and applications. To learn more, check out the [Palette VerteX](../vertex/vertex.md) page.
+
+## Virtual Machine Orchestrator
+
+Palette Virtual Machine Orchestrator (VMO) allows you to deploy, manage, and scale traditional VM workloads within a
+modern Kubernetes environment, side by side with your containerized applications. It lets you apply to VMs the same
+lifecycle management capabilities as Palette applies to containers, including backups.
+
+VMO uses the CNCF project [KubeVirt](https://kubevirt.io) to manage VMs as Kubernetes pods, ensuring complete mapping
+between the VM and Kubernetes concepts. This solution also has near complete feature parity with
+[VMware vSphere](https://www.vmware.com/products/vsphere.html), including capabilities such as live migration.
+
+Palette VMO can be used on edge hosts, giving the ability to deploy VM workloads at the edge without the overhead of a
+hypervisor layer. This is achieved by leveraging [Canonical MAAS](https://maas.io). Additionally, VMO can also be used
+in self-hosted, airgapped, and in our SaaS environments. Learn more on the
+[Virtual Machine Orchestrator](../vm-management/vm-management.md) page.

docs/docs-content/getting-started/getting-started.md

@@ -93,5 +93,11 @@ Explore more through the following pages.
       buttonText: "Learn more",
       relativeURL: "./terraform",
     },
+    {
+      title: "Additional Capabilities",
+      description: "Learn about Palette's additional capabilities.",
+      buttonText: "Learn more",
+      relativeURL: "./additional-capabilities",
+    },
   ]}
 />