Reserving CPU and memory
Modal jobs are reserved 128 MiB of memory and 0.1 CPU cores by default. However, if there is free memory or CPU capacity on a worker, containers are free to spike above these limits.
If you have code that you want to run on a larger number of cores, you can
request that using the
cpu argument. This allows you to specify a
floating-point number of CPU cores:
import modal stub = modal.Stub() def my_function(): # code here will have access to at least 8.0 cores ...
If you have code that needs more guaranteed memory, you can request it using the
memory argument. This expects an integer number of megabytes:
import modal stub = modal.Stub() def my_function(): # code here will have access to at least 32 GiB of RAM ...
How much can I request?
For both CPU and memory, a maximum is enforced at function creation time to
ensure your application can be scheduled for execution. Requests exceeding the
maximum will be rejected with an
As the platform grows, we plan to support larger CPU and memory reservations.
We currently don’t support setting a hard limit on the resource usage of a function. But we do plan to add this feature so that users have more control over the resource consumption of their Modal applications.