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Copy file name to clipboardExpand all lines: 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:
| 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 generalpurpose 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 Instancesare 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:
Copy file name to clipboardExpand all lines: 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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<Messagetype="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.
Copy file name to clipboardExpand all lines: 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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