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Document account spend limits and worker limits
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get-started/manage-accounts.mdx

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Administrators have unrestricted access to manage team members, configure account settings, handle billing, and control all team computing resources. This role should be reserved for team leaders and trusted members who need full account access.
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## Account spend limits
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By default, Runpod accounts have a spend limit of \$80 per hour across all resources. This limit protects your account from unexpected charges. If your workload requires higher spending capacity, you can [contact support](https://www.runpod.io/contact) to increase it.
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## Monitor account activity
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Runpod provides comprehensive audit logs to track all actions performed within your account. This feature helps maintain security and accountability across team operations.

pods/pricing.mdx

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When you [stop a Pod](/pods/manage-pods#stop-a-pod), you will no longer be charged for the Pod's hourly GPU cost, but will continue to be charged for the Pod's volume disk at a rate of \$0.20 per GB per month.
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## Account spend limits
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By default, Runpod accounts have a spend limit of \$80 per hour across all resources. This limit protects your account from unexpected charges. If your workload requires higher spending capacity, you can [contact support](https://www.runpod.io/contact) to increase it.
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## Tracking costs and savings plans
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You can monitor your active savings plans, including their associated Pods, commitment periods, and expiration dates, by visiting the dedicated [Savings plans](https://www.console.runpod.io/savings-plans) section in your Runpod console. General Pod usage and billing can be tracked through the [Billing section](https://www.console.runpod.io/user/billing).

serverless/endpoints/endpoint-configurations.mdx

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Default: 3
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<Note>
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By default, Runpod accounts can have a maximum of 60 Serverless workers (flex + active combined) allocated across all endpoints. If your workload requires additional capacity, you can [contact support](https://www.runpod.io/contact) to increase this limit.
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</Note>
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<Warning>
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Setting max workers to 1 restricts your deployment to a single machine, creating potential bottlenecks if that machine becomes unavailable.

serverless/overview.mdx

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The container instances that execute your code when requests arrive at your endpoint. Runpod automatically manages worker lifecycle, starting them when needed and stopping them when idle to optimize resource usage.
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By default, your account can have up to 60 Serverless workers (flex + active combined) across all endpoints. [Contact support](https://www.runpod.io/contact) to increase this limit if needed.
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### [Handler functions](/serverless/workers/handler-functions)
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The core of your Serverless application. These functions define how a worker processes incoming requests and returns results. They follow a simple pattern:

serverless/pricing.mdx

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After completing a request, workers remain active for a specified period before scaling down. This reduces response times for subsequent requests but incurs additional charges. The default idle timeout is 5 seconds, but you can configure this in your [endpoint settings](/serverless/endpoints/endpoint-configurations#idle-timeout).
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## Account spend limits
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By default, Runpod accounts have a spend limit of \$80 per hour across all resources. This limit protects your account from unexpected charges. If your workload requires higher spending capacity, you can [contact support](https://www.runpod.io/contact) to increase it.
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## Billing support
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If you think you've been billed incorrectly, please [contact support](https://www.runpod.io/contact), and include this information in your request:

serverless/workers/overview.mdx

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To debug issues in production, you can access [worker logs](/serverless/development/logs) and [SSH directly into running workers](/serverless/workers/ssh-into-workers) to inspect file systems and environment variables in real-time.
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## Worker limits
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By default, Runpod accounts can have a maximum of 60 Serverless workers (flex + active combined) allocated across all endpoints. If your workload requires additional capacity, you can [contact support](https://www.runpod.io/contact) to increase this limit.
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## Next steps
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* [Build your first worker.](/serverless/workers/custom-worker)

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