Jupyter kernel crashing with sdata.write

Describe the bug
I am writing large sdata objects to zarr, and the Kernel fails in an unpredictable manner.

I parse the image into sdata, a large mIF image (15, 44470, 73167) (8bit), with scale factors (5,5) to create a multiscale object. Then writing that simple sdata object seems to fail, (it takes about 20min, so only tried twice).

Before I send over this large data, are there any expected limitations from writing sdata objects into Zarr in a Jupyter notebook?
My naive concerns think about:

1. chunking
   (what if chunk size is larger than downscaled image size?)
   (can I chunk different scales dynamically? I use the parser to chunk.)
2. Hardware
   (I use M2 Macbook Pro).

This kind of kernel failures are particularly frustrating because they corrupt the zarr object, I was writing some new elements (another very large image) and it crashed, and it killed the object.

Start by reproducing the failure in a Jupyter notebook with the reported large multiscale sdata object, image dimensions, and scale factors. Investigate chunking and hardware limits during sdata.write to Zarr; done means the crash cause or supported limitations are identified and the risk of corrupting the Zarr object is addressed or documented.