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Merge pull request #132 from Phala-Network/docs/migrate-cloud-domain-to-com
docs: update cloud.phala.network to cloud.phala.com
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.scripts/test-dstack-examples/README.md

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## Step 1: Deploy the Proxy to Phala Cloud
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1. Go to [Phala Cloud Dashboard](https://cloud.phala.network/dashboard)
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1. Go to [Phala Cloud Dashboard](https://cloud.phala.com/dashboard)
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2. Click **Deploy****docker-compose.yml**
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3. Copy and paste the entire contents of `docker-compose.yml` from this directory
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4. Set a name (e.g., "dstack-api-proxy")

README.md

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- **Documentation Issues**: Report problems with our docs on [GitHub](https://github.com/Phala-Network/phala-docs)
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- **Technical Support**: Join our [Telegram community](https://t.me/+nbhjx1ADG9EyYmI9) for real-time help
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- **Enterprise**: [Contact us](https://cloud.phala.network/contact) for enterprise solutions and partnerships
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- **Enterprise**: [Contact us](https://cloud.phala.com/contact) for enterprise solutions and partnerships
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---
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Ready to build secure AI? [Get started with Phala Cloud →](https://cloud.phala.network)
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Ready to build secure AI? [Get started with Phala Cloud →](https://cloud.phala.com)

docs.json

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"name": "Phala",
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"navbar": {
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"primary": {
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"href": "https://cloud.phala.network",
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"href": "https://cloud.phala.com",
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"label": "Phala Cloud",
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"type": "button"
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}

index.mdx

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---
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Ready to build secure AI? [Get started with Phala Cloud →](https://cloud.phala.network)
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Ready to build secure AI? [Get started with Phala Cloud →](https://cloud.phala.com)

network/overview/phala-network.mdx

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Phala provides a comprehensive suite of tools and infrastructure to make zero-trust computing **easy to access**, **build**, and **verify**:
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* **Easy Access to Computers**: [Phala Cloud](https://cloud.phala.network/register?invite=PHALAWIKI) provides access to TEE hardware, including **Intel TDX**, **Intel SGX**, **AMD SEV**, and **NVIDIA H100/H200 (TEE)**, offering secure and verifiable computation at scale. Phala Cloud supports deployment of any Docker application into TEE environments, making it easy to migrate existing workloads to confidential computing.
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* **Easy Access to Computers**: [Phala Cloud](https://cloud.phala.com/register?invite=PHALAWIKI) provides access to TEE hardware, including **Intel TDX**, **Intel SGX**, **AMD SEV**, and **NVIDIA H100/H200 (TEE)**, offering secure and verifiable computation at scale. Phala Cloud supports deployment of any Docker application into TEE environments, making it easy to migrate existing workloads to confidential computing.
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* **Easy to Build**: [Dstack](/dstack/overview) is the TEE SDK developed by Phala and Flashbots jointly
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* **Docker / VM migration into TEE**, allowing developers to move existing workloads into a zero-trust environment.
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* **Serverless edge functions**: Leverage pre-built templates to create **serverless, privacy-preserving functions** that run in secure TEEs.

phala-cloud/attestation/quickstart.mdx

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## Step 1: Open Attestation Tab
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Open your CVM in the [Phala Cloud dashboard](https://cloud.phala.network). Click **View Details** on your CVM card.
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Open your CVM in the [Phala Cloud dashboard](https://cloud.phala.com). Click **View Details** on your CVM card.
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Navigate to the **Attestations** tab. You'll see the default attestation quote that was generated during CVM bootstrap.
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phala-cloud/cases/best-practices-and-successful-case.mdx

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Explore how Phala Cloud enables secure, verifiable AI and trustless applications using TEE technology.
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https://cloud.phala.network/cases
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https://cloud.phala.com/cases

phala-cloud/cases/tee_with_fhe_and_mpc.mdx

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### Workflow Example
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- MPC nodes build a docker image and deploy it to [Phala Cloud](https://cloud.phala.network/register?invite=PHALAWIKI), see the [tutorial](/phala-cloud/cvm/create-with-docker-compose).
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- MPC nodes build a docker image and deploy it to [Phala Cloud](https://cloud.phala.com/register?invite=PHALAWIKI), see the [tutorial](/phala-cloud/cvm/create-with-docker-compose).
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1. A master key is generated inside an TEE and never exposed externally.
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phala-cloud/confidential-ai/confidential-gpu/deploy-and-verify.mdx

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### Launch the deployment wizard
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Sign in to [cloud.phala.network](https://cloud.phala.network), click **GPU TEE** in the navigation bar, then click **Start Building** to open the Launch GPU Instance wizard.
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Sign in to [cloud.phala.com](https://cloud.phala.com), click **GPU TEE** in the navigation bar, then click **Start Building** to open the Launch GPU Instance wizard.
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<Note>
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Check your credit balance in the upper right corner. GPU instances incur hourly charges, so confirm your balance before launching.

phala-cloud/confidential-ai/confidential-model/playground.mdx

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You could deploy Open-WebUI on your local machine or Phala Cloud.
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It is recommended to deploy Open-WebUI on Phala Cloud with this [Open-WebUI one-click deploy template](https://cloud.phala.network/templates/open-webui). Or if you prefer try it locally, you could deploy it on your local machine with this [docker compose file](https://github.com/Phala-Network/phala-cloud/blob/main/templates/prebuilt/openwebui/docker-compose.yml).
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It is recommended to deploy Open-WebUI on Phala Cloud with this [Open-WebUI one-click deploy template](https://cloud.phala.com/templates/open-webui). Or if you prefer try it locally, you could deploy it on your local machine with this [docker compose file](https://github.com/Phala-Network/phala-cloud/blob/main/templates/prebuilt/openwebui/docker-compose.yml).
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If you deploy Open-WebUI on Phala Cloud, once it is deployed, you could access it by opening the `Endpoint #1` in Network tab of CVM instance details.
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