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Resource Limits and Quotas

Resource Limits and Quotas​

Quapp applies resource limits to ensure fair usage and stable performance across the platform. These limits define how much network, memory, CPU, and GPU resources can be used by Functions and Jupyter Notebooks.

This section explains the current resource quotas so you can better understand how your workloads are managed.

Function Resource Quotas​

When you deploy and run a function on Quapp, the following resource limits apply.

Network Bandwidth​

External bandwidth

  • Limit: 1 Mb
  • Description: The maximum amount of network bandwidth a function can use to communicate with external systems outside Quapp.

Internal bandwidth

  • Limit: 1 Mb
  • Description: The maximum amount of network bandwidth a function can use for internal communication within the Quapp platform.

Memory (RAM)​

Function memory

  • Limit: None
  • Description: There is currently no enforced memory limit for functions. Memory usage depends on the function’s logic and execution environment.

GPU Resources​

Function GPU quota

  • Limit: Up to 32 qubits
  • Description: GPU usage is determined by the number of qubits, the selected SDK, and the quantum algorithm being executed. The maximum supported GPU workload corresponds to 32 qubits.

CPU Resources​

Function CPU quota

  • Limit: None
  • Description: There is currently no enforced CPU limit for functions. CPU usage scales based on the execution requirements.

Jupyter Notebook Resource Quotas​

Resource limits for Jupyter Notebooks are defined separately to ensure consistent performance for interactive workloads.

Network Bandwidth​

External bandwidth

  • Limit: 1 Mb
  • Description: The maximum network bandwidth a Jupyter Notebook can use to access external systems.

Internal bandwidth

  • Limit: 1 Mb
  • Description: The maximum bandwidth available for internal communication within Quapp.

Memory (RAM)​

Jupyter Notebook memory

  • Limit: 256 Mb
  • Description: Each Jupyter Notebook session is limited to 256 MB of RAM to maintain platform stability.

GPU Resources​

Jupyter Notebook GPU quota

  • Limit: None
  • Description: Jupyter Notebooks do not utilize GPU resources on Quapp.

CPU Resources​

Jupyter Notebook CPU quota

  • Limit: 500m (0.5 CPU core)
  • Description: Each Jupyter Notebook session is limited to 0.5 CPU core.

Notes and Considerations​

  • Resource limits may evolve as Quapp introduces new features or subscription plans.
  • Exceeding a quota may impact execution performance or cause jobs to fail.
  • For advanced workloads or higher limits, consider upgrading your subscription or contacting Quapp support.