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Add Spice Cloud Deployment (#1005)
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---
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title: 'Spice Cloud Platform Deployment'
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description: 'Guide to deploying data and AI applications using the managed Spice Cloud Platform'
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sidebar_label: 'Spice Cloud Platform'
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sidebar_position: 3
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---
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The Spice Cloud Platform is a managed, cloud-hosted solution designed for deploying data and AI applications and agents. It provides a secure and efficient compute environment powered by Spice.ai OSS, offering building blocks including high-speed SQL queries, LLM inference, vector search, and retrieval-augmented generation (RAG).
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## Benefits of the Spice.ai Cloud Platform
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- **Simplified Deployment**: Focus on creating data and AI applications without the complexity of managing infrastructure.
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- **High Performance**: Optimize data queries and AI workflows with cloud-scale compute resources.
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- **Collaboration**: Share and manage datasets, models, and tools across your team and the enterprise.
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- **Production-Ready**: Achieve reliability, scalability, and compliance for AI applications.
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## Security and Compliance
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The Spice.ai Cloud Platform prioritizes security and compliance to ensure the protection of user data and systems. It adheres to SOC 2 Type II compliance standards, providing enterprise-level security validated by third-party audits. The platform employs robust security measures, including encryption of sensitive data both in-transit and at-rest, multi-factor authentication (MFA), and role-based access control (RBAC). Access and usage are logged for auditability, and the principle of least privilege is enforced to minimize unnecessary access. For more details, visit the [Spice.ai Security Documentation](https://docs.spice.ai/security/security).
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## Deployment Overview
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1. **Sign Up**: Register for an account on the [Spice.ai Cloud Platform](https://spice.ai/login).
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2. **Configure Your Application**: Organize datasets, models, and workflows using the platform's cloud portal.
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3. **Deploy**: Launch your AI applications and agents with minimal configuration.
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4. **Monitor and Scale**: Leverage built-in monitoring and observability tools to track performance and scale resources as required.
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## Learn More
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For comprehensive instructions and advanced configuration options, refer to the [Spice.ai Cloud Platform documentation](https://docs.spice.ai/).

website/docs/deployment/index.md

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sidebar_label: 'Deployment'
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description: 'Deploy Spice.ai in your environment'
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sidebar_position: 11
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---
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Learn how to deploy Spice.ai in your environment.
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import DocCardList from '@theme/DocCardList';
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## Deployment Architectures
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<DocCardList />
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- [Overview](/docs/deployment/architectures/index.md)
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- [Sidecar Deployment](architectures/sidecar.md)
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- [Microservice Deployment (Single or Multiple Replicas)](architectures/microservice.md)
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- [Tiered Deployment](architectures/tiered.md)
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- [Cloud-Hosted in the Spice Cloud Platform](architectures/hosted.md)
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- [Sharded Deployment](architectures/sharded.md)
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- [Cluster Deployment (Spice.ai Enterprise)](architectures/cluster.md)
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## Deployment Guides
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- [Kubernetes (Helm)](kubernetes/index.md)
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- [Docker](docker.md)
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- [Spice Cloud](cloud/index.md)

website/docs/deployment/kubernetes/index.md

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sidebar_label: 'Helm - Kubernetes'
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sidebar_position: 2
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description: 'Deploy Spice.ai in Kubernetes using Helm.'
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tags:
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- deployment
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- kubernetes

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