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Merge branch 'MTA-6390' of https://github.com/scaleway/docs-content into MTA-6390
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pages/instances/concepts.mdx

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## x86 (Intel/AMD) Instances
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[x86 (Intel/AMD) Instances](https://www.scaleway.com/en/cost-optimized-instances/) are reliable and high-performance instances powered by AMD EPYC processors, tailored for development, testing, production workloads, and general-purpose applications.
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[x86 (Intel/AMD) Instances](https://www.scaleway.com/en/cost-optimized-instances/) are reliable and high-performance Instances powered by AMD EPYC processors, tailored for development, testing, production workloads, and general-purpose applications.

pages/instances/how-to/migrate-instances.mdx

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4. Click <Icon name="more" /> next to the Instance's image.
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5. Select **Create Instance from image** on the drop-down list. You are redirected to the Instance creation wizard, where the image has been preselected for you at step 2.
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6. Finish configuring the Instance according to your requirements. Notably:
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- You are free to choose your Instance type as long it uses the same CPU architeckture (e.g. ARM to ARM or x86 to x86)
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- You are free to choose your Instance type as long it uses the same CPU architecture (e.g. ARM to ARM or x86 to x86)
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- Click **Advanced options** and use the <Icon name="toggle" /> toggle to deselect **flexible IP**. This creates a the new Instance without a flexible IP, as we are going to attach the one from the existing Instance in the next step.
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7. Click **Create Instance** to finish. The Instance is created and shows in your Instances list.
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pages/instances/reference-content/choosing-instance-type.mdx

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dates:
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validation: 2025-05-15
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posted: 2023-02-20
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tags: instance type stardust range vcpu hyperthread core ram bandwidth dedicated shared memory hypervisor vm storage dev1 play2 gp1 pro2 ent1 gpu arm learning development production production-optimized Development memory-optimized storage-optimized
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tags: instance comparison vcpu ram core
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---
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Scaleway **CPU & GPU Instances** are virtual machines in the cloud. You can create and manage Instances via our [console](https://console.scaleway.com/), [API](https://www.scaleway.com/en/developers/api/), [CLI](https://www.scaleway.com/en/cli/), or [other developer tools](https://www.scaleway.com/en/developers/). When you [create an Instance](/instances/how-to/create-an-instance/), you must select the **Instance type** you want to create. This page explains the different ranges of Instances available at Scaleway and helps you to choose the best one for your needs.

pages/instances/reference-content/development.mdx

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| Range | Development |
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|:--------------------------------|:------------------------------------------------------------------------------|
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| Instance Type | DEV1 <br /> GP1 |
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| Instance type | DEV1 <br /> GP1 |
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| Availability Zone | PAR1, PAR2, PAR3 (excl. DEV1), AMS1, AMS2, WAW1, WAW2 |
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| Storage | Local or Block |
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| Max. Bandwidth | From 200 to 500 Mbps |
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| CPU Type | DEV1: AMD EPYC 7281 (2,1 GHz) or equivalent<br />GP1: AMD EPYC 7410P (2 GHz) or equivalent|
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| Max. bandwidth | From 200 to 500 Mbps |
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| CPU type | DEV1: AMD EPYC 7281 (2,1 GHz) or equivalent<br />GP1: AMD EPYC 7410P (2 GHz) or equivalent |
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| Resources | Shared vCPUs |
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| Sizing | From 2 to 48 vCPUs <br />From 2 to 256 GiB RAM |
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| vCPU:RAM ratio | Various<br />(1:1, 1:2, 1:3) |

pages/instances/reference-content/general-purpose.mdx

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## PLAY2 Instances and PRO2 Instances
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In the same **General Purpose** range, you will also find PLAY2 and PRO2 Instances. These are the next generation of General Purpose and General Purpose Instances. They present the best price-performance ratio with the most flexible vCPU to RAM ratio, and provide features that target most standard and cloud-native workloads. In other words, these Instances keep costs down while still supporting a wide variety of cloud applications, such as medium-to-high-traffic web servers, medium-sized databases and e-commerce websites.
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In the same **General Purpose** range, you will also find PLAY2 and PRO2 Instances. These are the next generation of General Purpose and General Purpose Instances. They offer the best price-performance ratio with the most flexible vCPU to RAM ratio, and provide features that target most standard and cloud-native workloads. In other words, these Instances keep costs down while still supporting a wide variety of cloud applications, such as medium-to-high-traffic web servers, medium-sized databases, and e-commerce websites.
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See below the technical specifications of PLAY2 and PRO2 Instances:
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| Range | General Purpose |
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|:--------------------------------|:------------------------------------------------------------------------------|
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| Instance Type | PLAY2 <br /> PRO2 |
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| Instance type | PLAY2 <br /> PRO2 |
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| Availability Zone | PAR1, PAR2, PAR3 (excl PLAY2), AMS1, AMS2, AMS3, WAW1, WAW2, WAW3 |
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| Storage | Block |
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| Max. Bandwidth | From 100 Mbps to 6 Gbps |
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| CPU Type | AMD EPYC 7543 (2,8 GHz) |
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| Max. bandwidth | From 100 Mbps to 6 Gbps |
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| CPU type | AMD EPYC 7543 (2,8 GHz) |
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| Resources | Shared vCPUs |
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| Sizing | From 1 to 32 vCPUs <br />From 2 to 128 GiB RAM |
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| vCPU:RAM ratio | Various<br />(1:2, 1:4) |
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## COP-ARM Instances
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An innovative option are COP-ARM Instances, which are powered by ARM CPUs. These Instances mark a significant step in the world of development and general purpose computing. Their ARM architecture is a key feature, offering an excellent price-performance ratio while maintaining various vCPU to RAM configurations. This ARM CPU design is especially efficient for various standard and cloud-native workloads, ensuring cost-effective operations. Ideal for a wide range of cloud applications, COP-ARM Instances are well-suited for managing medium-to-high-traffic web servers, medium-sized databases, and e-commerce platforms, all the while leveraging the unique advantages of the ARM architecture.
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COP-ARM Instances are an innovative option, powered by ARM CPUs. These Instances mark a significant step in the world of development and general-purpose computing. Their ARM architecture is a key feature, offering an excellent price-performance ratio while maintaining various vCPU to RAM configurations. This ARM CPU design is especially efficient for standard and cloud-native workloads, ensuring cost-effective operations. Ideal for a wide range of cloud applications, COP-ARM Instances are well-suited for managing medium-to-high-traffic web servers, medium-sized databases, and e-commerce platforms, all the while leveraging the unique advantages of the ARM architecture.
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The table below displays the technical specifications of COP-ARM Instances:
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| Range | General Purpose |
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|:--------------------------------|:------------------------------------------------------------------------------|
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| Instance Type | COPARM1 |
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| Instance type | COPARM1 |
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| Availability Zone | PAR2 |
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| Storage | Block |
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| Max. Bandwidth | From 200 Mbps to 3.2 Gbps |
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| CPU Type | ARM (Ampere Altra Max M128-30) |
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| Max. bandwidth | From 200 Mbps to 3.2 Gbps |
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| CPU type | ARM (Ampere Altra Max M128-30) |
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| Resources | Shared vCPUs |
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| Sizing | From 2 to 128 vCPUs <br />From 8 to 128 GiB RAM |
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| vCPU:RAM ratio | 1:4

pages/kubernetes/api-cli/creating-managing-kubernetes-lifecycle-cliv2.mdx

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A pool is a set of identical nodes. A pool has a name, a size (its current number of nodes), nodes number limits (min and max), and a Scaleway Instance type.
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<Message type="note">
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Instance type with insufficient (less than 4GB) memory are not eligible to become nodes.
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Instance type with insufficient (less than 4 GB) memory are not eligible to become nodes.
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</Message>
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Changing these limits increases/decreases the size of a pool. Thus, when autoscaling is enabled, the pool will grow or shrink inside those limits, depending on its load.

pages/kubernetes/how-to/deploy-x86-arm-images.mdx

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## What is ARM architecture, and why is it different from x86?
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- ARM architecture is commonly used in devices like Raspberry Pi, IoT devices, and recent [General Purposes Instances based on ARM](https://www.scaleway.com/en/<ADD_LINK>>).
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- ARM architecture is commonly used in devices like Raspberry Pi, IoT devices, and recent [General Purpose Instances based on ARM](https://www.scaleway.com/en/cost-optimized-instances-based-on-arm/).
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- Kubernetes clusters may consist of nodes with different architectures, including x86 and ARM.
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- Deploying applications across these diverse architectures requires special consideration.
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