# modal.batched | Modal Docs

- **URL:** https://modal.com/docs/sdk/py/latest/modal.batched
- **Summary:** Decorator for functions or class methods that should be batched.

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modal.batched
=============

    batched(*, max_batch_size, wait_ms)

Decorator for functions or class methods that should be batched.

See the [dynamic batching guide](https://modal.com/docs/guide/dynamic-batching)
 for more information.

**Usage**

    # Stack the decorator under `@app.function()` to enable dynamic batching
    @app.function()
    @modal.batched(max_batch_size=4, wait_ms=1000)
    async def batched_multiply(xs: list[int], ys: list[int]) -> list[int]:
        return [x * y for x, y in zip(xs, ys)]
    
    # call batched_multiply with individual inputs
    # batched_multiply.remote.aio(2, 100)
    
    # With `@app.cls()`, apply the decorator to a method (this may change in the future)
    @app.cls()
    class BatchedClass:
        @modal.batched(max_batch_size=4, wait_ms=1000)
        def batched_multiply(self, xs: list[int], ys: list[int]) -> list[int]:
            return [x * y for x, y in zip(xs, ys)]

[modal.batched](https://modal.com/docs/sdk/py/latest/modal.batched#modalbatched)