Spectro Cloud Documentation

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Deploy AI and Machine Learning Workloads

PaletteAI for Self-Service AI Environments

Provision infrastructure on demand and deploy AI and machine learning application stacks.

Environments: Public cloud · Data center

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PaletteAI Inference Launchpad for LLMs on Your Own Hardware

Boot a single appliance image and serve large language models (LLMs) on NVIDIA or AMD GPUs.

Environments: Data center · Airgap

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Deploy Kubernetes Clusters

Palette for Clouds and Data Centers

Deploy, update, and manage Kubernetes clusters in public clouds and data centers.

Environments: Public cloud · Data center

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Palette Edge for Remote Edge Sites

Provision, scale, and upgrade Kubernetes clusters on Edge hosts at remote sites, such as grocery stores and restaurants.

Environments: Edge · Airgap

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Palette VerteX for Regulated Environments

Deploy Kubernetes clusters that integrate validated Federal Information Processing Standards (FIPS) 140-3 cryptographic modules.

Environments: Public cloud · Data center · Edge · Airgap

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Self-Hosted Palette for Your Own Infrastructure

Manage Kubernetes clusters from a self-hosted instance in your own data center or public cloud account, including airgap environments.

Environments: Public cloud · Data center · Airgap

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Deploy Virtual Machines

PaletteAI VM Launchpad for VMs on a Standalone Appliance

Install a bootable ISO on bare metal or Edge devices and manage VMs from a dedicated UI.

Environments: Data center · Edge · Airgap

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VMO Pack for VMs on Your Kubernetes Clusters

Deploy the Virtual Machine Orchestrator (VMO) pack to run VMs alongside containers on Palette-managed or imported Kubernetes clusters.

Environments: Data center · Edge · Airgap

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