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3 changes: 1 addition & 2 deletions docs.json
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Expand Up @@ -101,7 +101,6 @@
"guides/clouds/start-using-io-cloud",
"guides/clouds/monitor-manage-clusters",
"guides/clouds/deploy-containers",
"guides/clouds/deploy-ray-cluster",
"guides/clouds/deploy-bare-metal-cluster",
{
"group": "VM on Demand",
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"dark": "/logo/dark.svg",
"light": "/logo/light.svg"
}
}
}
107 changes: 0 additions & 107 deletions guides/clouds/deploy-mega-ray-cluster.mdx

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203 changes: 0 additions & 203 deletions guides/clouds/deploy-ray-cluster.mdx

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31 changes: 5 additions & 26 deletions guides/clouds/start-using-io-cloud.mdx
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Expand Up @@ -38,11 +38,11 @@ To learn more about payment options, visit our [IO Cloud Payments](https://io.ne

The home page offers the following options:

| Action | Definition |
| ------------------------------ | ----------------------------------------------------------- |
| Deploy a Cluster | Create a new cluster for your workloads. |
| Browse the GPU Marketplace | Explore and select GPUs for your clusters. |
| Add Funds to Your Balance | Top up your account for cluster usage. |
| Action | Definition |
| --- | --- |
| Deploy a Cluster | Create a new cluster for your workloads. |
| Browse the GPU Marketplace | Explore and select GPUs for your clusters. |
| Add Funds to Your Balance | Top up your account for cluster usage. |
| View and Monitor Your Clusters | Track the status and performance of your existing clusters. |

## Clusters
Expand All @@ -52,32 +52,11 @@ io.net offers three distinct cluster types to power your AI projects:
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### Ray Cluster

Designed to run distributed applications efficiently across multiple nodes.

- **Powered by the Ray framework:** A widely-used open-source framework for building and managing distributed applications.
- **Universal API:** Delivers a consistent interface for creating and managing distributed applications across various hardware configurations.
- **Scalable Infrastructure:** Comprises multiple interconnected nodes collaborating to execute tasks and manage resources efficiently.

To view detailed instructions on Ray clusters, see [Deploy Ray Cluster](/guides/clouds/deploy-ray-cluster).

### VM on Demand

Provision dedicated bare-metal machines instantly, giving you complete control over the hardware for performance-critical workloads.

- **Direct Hardware Access:** Run workloads directly on physical machines with no virtualization layer.
- **Maximum Performance:** Eliminate virtualization overhead for speed, isolation, and reliability.
- **Flexible Setup:** Select your preferred processor and location, then deploy in minutes.

To view detailed instructions, see [Deploy VM on Demand Cluster](/guides/clouds/deploy-vm-on-demand).

### Container-as-a-Service (CaaS)

Allows you to configure and deploy containers on powerful GPU-backed infrastructure through a simple, guided interface.
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