--- title: Configuring Memory and CPU for Vercel Functions product: vercel url: /docs/functions/configuring-functions/memory canonical_url: "https://vercel.com/docs/functions/configuring-functions/memory" last_updated: 2026-02-27 type: how-to prerequisites: - /docs/functions/configuring-functions - /docs/functions related: - /docs/fluid-compute - /docs/functions/limitations - /docs/functions/usage-and-pricing summary: Learn how to set the memory / CPU of a Vercel Function. install_vercel_plugin: npx plugins add vercel/vercel-plugin --- # Configuring Memory and CPU for Vercel Functions The memory configuration of a function determines how much memory and CPU a function can use while executing. By default, on **Pro** and **Enterprise**, functions execute with 2 GB (1 vCPU) of memory. On **Hobby**, they will always execute with 2 GB (1 vCPU). You can change the [default memory size for all functions](#setting-your-default-function-memory-/-cpu-size) in a project. ## Memory configuration considerations You should consider the following points when changing the memory size of your functions: - **Performance**: Increasing memory size can improve the performance of your functions, allowing them to run faster - **Cost**: Vercel bills Functions on fluid compute based on Active CPU, Provisioned Memory, and Invocations. Increasing memory also increases available CPU, which can help CPU-intensive functions finish faster and reduce Active CPU time. Larger memory settings can increase Provisioned Memory usage while requests are in progress. See [Pricing](#pricing) for more information ## Setting your default function memory / CPU size Those on the Pro or Enterprise plans can configure the default memory size for all functions in a project. To change the default function memory size: 1. Choose the appropriate project from your [dashboard](/dashboard) 2. Open **Settings** in the sidebar 3. Scroll to [**Functions**](https://vercel.com/d?to=%2F%5Bteam%5D%2F%5Bproject%5D%2Fsettings%2Ffunctions\&title=Go+to+Functions+Settings) 4. Select **Advanced Settings** 5. In the **Function CPU** section, select your preferred memory size option: ![Image](https://vercel.com/front/docs/functions/configure-mem-light.png) 6. The change will be applied to all future deployments made by your team. You must create a new deployment for your changes to take effect > **⚠️ Warning:** You cannot set your memory size using `vercel.json`. If you try to do so, you > will receive a warning at build time. Only Pro and Enterprise users can set > the default memory size in the dashboard. Hobby users will always use the > default memory size of 2 GB (1 vCPU). ### Memory / CPU type The memory size you select will also determine the CPU allocated to your Vercel Functions. The following table shows the memory and CPU allocation for each type. With [fluid compute enabled](/docs/fluid-compute) on Pro and Enterprise plans, the default memory size is 2 GB (1 vCPU) and can be upgraded to 4 GB / 2 vCPUs, for Hobby users, Vercel manages the CPU with a minimum of 1 vCPU. | Type | Memory / CPU | Use | | --------------------------------------------------------------------------------- | -------------- | --------------------------------------------------------------------------------------------------- | | Standard | 2 GB / 1 vCPU | Predictable performance for production workloads. Default for [fluid compute](/docs/fluid-compute). | | Performance | 4 GB / 2 vCPUs | Increased performance for latency-sensitive applications and SSR workloads. | Users on the Hobby plan can only use the default memory size of 2 GB (1 vCPU). **Hobby users cannot configure this size**. If you are on the Hobby plan, and have enabled fluid compute, the memory size will be managed by Vercel with a minimum of 1 vCPU. > **💡 Note:** Projects created before **2019-11-08** have the default function memory size > set to **1024 MB/0.6 vCPU** for **Hobby** plan, and **3008 MB/1.67 vCPU** for > **Pro** and **Enterprise** plan. Although the dashboard may not have any > memory size option selected by default for those projects, you can start using > the new memory size options by selecting your preferred memory size in the > dashboard. ## Viewing your function memory size To check the memory size of your functions in the [dashboard](/dashboard), follow these steps: 1. Find the project you want to review and open [**Deployments**](https://vercel.com/d?to=%2F%5Bteam%5D%2F%5Bproject%5D%2Fdeployments\&title=Go+to+Deployments) in the sidebar 2. Go to the deployment you want to review 3. Open **Resources** in the sidebar 4. Search for the function by name or find it in the **Functions** section 5. Click on the name of the function to open it in **Observability** 6. Hover over the information icon next to the function name to view its memory size ## Memory limits To learn more about the maximum size of your function's memory, see [Max memory size](/docs/functions/limitations#memory-size-limits). ## Pricing Memory / CPU size affects two current fluid compute pricing dimensions: - **Active CPU**: CPU time your code actively consumes. More CPU can reduce Active CPU time for CPU-bound work if the function finishes faster. - **Provisioned Memory**: Memory allocated to the function instance while requests are in progress. Larger memory settings increase the GB-hour rate for this dimension. Vercel bills Invocations separately per incoming request. To learn more, see [Vercel Functions pricing](/docs/functions/usage-and-pricing). --- [View full sitemap](/docs/sitemap)