From 8d29875b94941d79164760f5117e0bcb6f365f69 Mon Sep 17 00:00:00 2001
From: "mintlify[bot]" <109931778+mintlify[bot]@users.noreply.github.com>
Date: Wed, 27 May 2026 06:00:03 +0000
Subject: [PATCH] Remove deprecated cluster deployment guides
Mintlify-Source: dashboard-editor
---
docs.json | 3 +-
guides/clouds/deploy-mega-ray-cluster.mdx | 107 ------------
guides/clouds/deploy-ray-cluster.mdx | 203 ----------------------
guides/clouds/start-using-io-cloud.mdx | 31 +---
4 files changed, 6 insertions(+), 338 deletions(-)
delete mode 100644 guides/clouds/deploy-mega-ray-cluster.mdx
delete mode 100644 guides/clouds/deploy-ray-cluster.mdx
diff --git a/docs.json b/docs.json
index 05ffa5a..98096e8 100644
--- a/docs.json
+++ b/docs.json
@@ -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",
@@ -485,4 +484,4 @@
"dark": "/logo/dark.svg",
"light": "/logo/light.svg"
}
-}
\ No newline at end of file
+}
diff --git a/guides/clouds/deploy-mega-ray-cluster.mdx b/guides/clouds/deploy-mega-ray-cluster.mdx
deleted file mode 100644
index 5d42e56..0000000
--- a/guides/clouds/deploy-mega-ray-cluster.mdx
+++ /dev/null
@@ -1,107 +0,0 @@
----
-title: "Deploy Mega-Ray Cluster"
-description: "This document explains how to deploy a Mega-Ray cluster by leveraging compute power in io.net's DePIN network."
-sidebarTitle: "Mega Ray"
----
-
-A Mega-Ray Cluster is a cluster of machines managed by the Ray framework. You can select all available GPUs or CPUs under certain filters and hire them.
-
-
-
-## Payments
-
-IO Cloud customers can load their io.net account prior to deploying clusters, or they can pay at the end of the deploy process. The main two ways to pay for clusters is using Solana and credit cards. To use Solana, you must set up a wallet. This can be done when you register your account or later in **Account Settings**.
-
-To learn more about the types of payments we offer and step-by-step guides, see [IO Cloud Payments](/docs/io-cloud-payments).
-
-## Configure Cluster
-
-### 1. Create Cluster
-
-Select Mega-Ray from the Cluster Menu.
-
-
-
-
-
-### 2. Rename Cluster
-
-Click the pencil icon to the right of the name to rename your cluster. In the screenshot below, the icon is highlighted in the blue box. Provide a unique name for your cluster.
-
-
-
-
-
-### 3. Select Supplier
-
-Select the supplier that powers your cluster.
-
-
- 
-
-
-Click **Next Step**.
-
-### 4. Connectivity Tiers
-
-Select the connectivity speed for your project.
-
-| Speed | Download | Upload |
-| ---------------- | --------- | --------- |
-| Ultra High Speed | 1600 MB/s | 1200 MB/s |
-| High Speed | 800 MB/s | 600 MB/s |
-| Medium | 400 MB/s | 300 MB/s |
-| Low Speed | 100 MB/s | 10 MB/s |
-
-
-
-
-
-Click **Next Step**.
-
-### 5.**Select GPU or CPU**
-
-Select either GPU or CPU. You can browse and select the specific model that meets your project's needs.
-
-
-
-
-
-Click **Next Step**.
-
-### 6. Summary
-
-On the Summary page, the choices you made in the process are displayed. You must select the duration of time that you will use the GPU.
-
-1. In the **Enter Duration** field, select the length of time: Hourly, Daily, or Weekly. To the right, you can increase the quantity.
-2. Review all the details of your cluster, including the **Total Cost**.
-3. Click **Deploy Cluster**.
-
-
-
-
\ No newline at end of file
diff --git a/guides/clouds/deploy-ray-cluster.mdx b/guides/clouds/deploy-ray-cluster.mdx
deleted file mode 100644
index a225ac0..0000000
--- a/guides/clouds/deploy-ray-cluster.mdx
+++ /dev/null
@@ -1,203 +0,0 @@
----
-title: "Deploy Ray Cluster"
-description: "This document explains how to deploy a Ray cluster by leveraging compute power in io.net's DePIN network."
-sidebarTitle: "Ray"
----
-
-## Payments
-
-IO Cloud customers can load their io.net account prior to deploying clusters, or they can pay at the end of the deploy process. The main two ways to pay for clusters is using Solana and credit cards. To use Solana, you must set up a wallet. This can be done when you register your account or later in **Account Settings**.
-
-To learn more about the types of payments we offer and step-by-step guides, see [IO Cloud Payments](/guides/payment/io-cloud-payments).
-
-
-
-## Configure Cluster
-
-### 1. Create Cluster
-
-Select Ray from the Cluster menu.
-
-
-
-
-
-### 2. Select Cluster Type
-
-Select the cluster type that meets the scope of your project.
-
-- **General** - This option works well for prototyping or general E2E workloads.
-- **Inference** - Choose if you require production-ready clusters for low-latency inference and heavy workloads.
-- **Train** - Choose if you require production-ready clusters for machine learning models, training, and fine-tuning.
-
-
-
-
-
-### 3. Rename Cluster
-
-Click the pencil icon to the right of the name to rename your cluster. In the screenshot below, the icon is highlighted in the blue box. Provide a unique name for your cluster.
-
-
-
-
-
-Click **Next Step**.
-
-### 4. Security Compliance
-
-Select the level and type of security for your cluster.
-
-- **E2E Encrypted** - A method of secure communication that prevents bad actors from accessing data while it's transferred. It restricts data access to the sender and recipient. All data traffic between GPUs is encrypted.
-- **SOC2/HIPAA** - (Coming Soon) A framework for managing and securing data related to technology and cloud computing services. All data traffic between GPUs is encrypted.
-
-
-
-
-
-Click **Next Step**.
-
-### 5. Location
-
-To select a location for our GPUs, enter a country name in the Search field or browse the country list (screenshot below is truncated). You can select multiple locations. Residents of countries with strict data residency can use this option to meet those requirements.
-
-
- One reason to select a specific location is to reduce latency. If you're located in USA and select USA for location, then your clients can get results more quickly if, for example, your GPUs are inferencing.
-
-
-
-
-
-
-Click **Next Step**.
-
-### 6. Connectivity Tiers
-
-Select the connectivity speed for your project.
-
-- **Ultra High Speed** - Download 1600 MB/s / 1200 MB/s Upload
-- **High Speed** - Download 800 MB/s / 600 MB/s Upload
-- **Medium** - Download 400 MB/s / 300 MB/s Upload
-- **Low Speed** - Download 100 MB/s / 10 MB/s Upload
-
-
-
-
-
-Click **Next Step**.
-
-### 7. Select GPUs
-
-Select the type of computing your project requires, **GPU** or **CPU**.
-
-- If you select GPU, also select NVIDIA and browse for the model that satisfies your requirements.
-- If you select CPU, you can choose between Apple of AMD CPUs.
-
-
-
-
-
-Click **Next Step**.
-
-### 8. Cluster Base Image
-
-Ray is the only selection for now. We will release additional cluster base images soon such as:
-
-- IOG
-- Ludwig
-- Pytorch FSDP
-- Unreal Engine 5
-- Unity Streaming
-
-
-
-
-
-Click **Next Step**.
-
-### 9. Master Configuration
-
-All clusters include a preconfigured master node. These nodes are selected by io.net from reliable and security compliant data centers.
-
-
-
-
-
-Click **Next Step**.
-
-### 10. Summary
-
-On the Summary page, the choices you made in the process are displayed. You must select the number of GPUs and the duration of time that you will use them.
-
-1. In the **Enter GPUs Quantity** field, select the number of GPUs in the dropdown. 2 GPUs will increase the cost.
-2. In the **Enter Duration** field, select the length of time: Hourly, Daily, or Weekly. To the right, you can increase the quantity.
-3. Review all the details of your cluster, including the **Total Cost**.
-4. Click **Deploy Cluster**.
-
-
-
-
-
-### View Cluster
-
-After payment is processed you can view your cluster loading.
-
-
- 
-
-
-Click **Return to Clusters** after your cluster is successfully deployed. The screenshot below is a detail page of your cluster.
-
-
- 
-
\ No newline at end of file
diff --git a/guides/clouds/start-using-io-cloud.mdx b/guides/clouds/start-using-io-cloud.mdx
index 42303ad..8d918de 100644
--- a/guides/clouds/start-using-io-cloud.mdx
+++ b/guides/clouds/start-using-io-cloud.mdx
@@ -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
@@ -52,32 +52,11 @@ io.net offers three distinct cluster types to power your AI projects:
-### 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.
-
-
-### 2. Rename Cluster
-
-Click the pencil icon to the right of the name to rename your cluster. In the screenshot below, the icon is highlighted in the blue box. Provide a unique name for your cluster.
-
-
- 
-
-
-### 3. Select Supplier
-
-Select the supplier that powers your cluster.
-
-
- 
-
-
-Click **Next Step**.
-
-### 4. Connectivity Tiers
-
-Select the connectivity speed for your project.
-
-| Speed | Download | Upload |
-| ---------------- | --------- | --------- |
-| Ultra High Speed | 1600 MB/s | 1200 MB/s |
-| High Speed | 800 MB/s | 600 MB/s |
-| Medium | 400 MB/s | 300 MB/s |
-| Low Speed | 100 MB/s | 10 MB/s |
-
-
- 
-
-
-Click **Next Step**.
-
-### 5.**Select GPU or CPU**
-
-Select either GPU or CPU. You can browse and select the specific model that meets your project's needs.
-
-
- 
-
-
-Click **Next Step**.
-
-### 6. Summary
-
-On the Summary page, the choices you made in the process are displayed. You must select the duration of time that you will use the GPU.
-
-1. In the **Enter Duration** field, select the length of time: Hourly, Daily, or Weekly. To the right, you can increase the quantity.
-2. Review all the details of your cluster, including the **Total Cost**.
-3. Click **Deploy Cluster**.
-
-
- 
-
\ No newline at end of file
diff --git a/guides/clouds/deploy-ray-cluster.mdx b/guides/clouds/deploy-ray-cluster.mdx
deleted file mode 100644
index a225ac0..0000000
--- a/guides/clouds/deploy-ray-cluster.mdx
+++ /dev/null
@@ -1,203 +0,0 @@
----
-title: "Deploy Ray Cluster"
-description: "This document explains how to deploy a Ray cluster by leveraging compute power in io.net's DePIN network."
-sidebarTitle: "Ray"
----
-
-## Payments
-
-IO Cloud customers can load their io.net account prior to deploying clusters, or they can pay at the end of the deploy process. The main two ways to pay for clusters is using Solana and credit cards. To use Solana, you must set up a wallet. This can be done when you register your account or later in **Account Settings**.
-
-To learn more about the types of payments we offer and step-by-step guides, see [IO Cloud Payments](/guides/payment/io-cloud-payments).
-
-
-
-## Configure Cluster
-
-### 1. Create Cluster
-
-Select Ray from the Cluster menu.
-
-
- 
-
-
-### 2. Select Cluster Type
-
-Select the cluster type that meets the scope of your project.
-
-- **General** - This option works well for prototyping or general E2E workloads.
-- **Inference** - Choose if you require production-ready clusters for low-latency inference and heavy workloads.
-- **Train** - Choose if you require production-ready clusters for machine learning models, training, and fine-tuning.
-
-
- 
-
-
-### 3. Rename Cluster
-
-Click the pencil icon to the right of the name to rename your cluster. In the screenshot below, the icon is highlighted in the blue box. Provide a unique name for your cluster.
-
-
- 
-
-
-Click **Next Step**.
-
-### 4. Security Compliance
-
-Select the level and type of security for your cluster.
-
-- **E2E Encrypted** - A method of secure communication that prevents bad actors from accessing data while it's transferred. It restricts data access to the sender and recipient. All data traffic between GPUs is encrypted.
-- **SOC2/HIPAA** - (Coming Soon) A framework for managing and securing data related to technology and cloud computing services. All data traffic between GPUs is encrypted.
-
-
- 
-
-
-Click **Next Step**.
-
-### 5. Location
-
-To select a location for our GPUs, enter a country name in the Search field or browse the country list (screenshot below is truncated). You can select multiple locations. Residents of countries with strict data residency can use this option to meet those requirements.
-
-
-
-
-Click **Next Step**.
-
-### 6. Connectivity Tiers
-
-Select the connectivity speed for your project.
-
-- **Ultra High Speed** - Download 1600 MB/s / 1200 MB/s Upload
-- **High Speed** - Download 800 MB/s / 600 MB/s Upload
-- **Medium** - Download 400 MB/s / 300 MB/s Upload
-- **Low Speed** - Download 100 MB/s / 10 MB/s Upload
-
-
- 
-
-
-Click **Next Step**.
-
-### 7. Select GPUs
-
-Select the type of computing your project requires, **GPU** or **CPU**.
-
-- If you select GPU, also select NVIDIA and browse for the model that satisfies your requirements.
-- If you select CPU, you can choose between Apple of AMD CPUs.
-
-
- 
-
-
-Click **Next Step**.
-
-### 8. Cluster Base Image
-
-Ray is the only selection for now. We will release additional cluster base images soon such as:
-
-- IOG
-- Ludwig
-- Pytorch FSDP
-- Unreal Engine 5
-- Unity Streaming
-
-
- 
-
-
-Click **Next Step**.
-
-### 9. Master Configuration
-
-All clusters include a preconfigured master node. These nodes are selected by io.net from reliable and security compliant data centers.
-
-
- 
-
-
-Click **Next Step**.
-
-### 10. Summary
-
-On the Summary page, the choices you made in the process are displayed. You must select the number of GPUs and the duration of time that you will use them.
-
-1. In the **Enter GPUs Quantity** field, select the number of GPUs in the dropdown. 2 GPUs will increase the cost.
-2. In the **Enter Duration** field, select the length of time: Hourly, Daily, or Weekly. To the right, you can increase the quantity.
-3. Review all the details of your cluster, including the **Total Cost**.
-4. Click **Deploy Cluster**.
-
-
- 
-
-
-### View Cluster
-
-After payment is processed you can view your cluster loading.
-
-
- 
-
-
-Click **Return to Clusters** after your cluster is successfully deployed. The screenshot below is a detail page of your cluster.
-
-
- 
-
\ No newline at end of file
diff --git a/guides/clouds/start-using-io-cloud.mdx b/guides/clouds/start-using-io-cloud.mdx
index 42303ad..8d918de 100644
--- a/guides/clouds/start-using-io-cloud.mdx
+++ b/guides/clouds/start-using-io-cloud.mdx
@@ -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
@@ -52,32 +52,11 @@ io.net offers three distinct cluster types to power your AI projects:
-### 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.