@coiled.io
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Run Python on the cloud easily + cheaply. Based on Dask for parallel computing.
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coiled.io
Easily configure shared memory size for CLI jobs with `--docker-shm-size`.

Training PyTorch models on a GPU and need more memory? Ever run into "Error: No space left on device"?

You can now customize Docker shared memory size with `--docker-shm-size`.

docs.coiled.io/user_guide/c...
Carbon code snippet of the following CLI command: coiled run --docker-shm-size=3gb python train.py
coiled.io
coiled.io @coiled.io · Feb 25
🔨 Job setup option for Coiled Batch

Use `--host-setup-script` to configure your VM before your batch job starts.

Easily:
✅ Install dependencies
✅ Mount cloud storage
✅ Handle authentication
or any other setup your jobs need.

Learn more: docs.coiled.io/user_guide/b...
Reposted
mrocklin.bsky.social
Coiled 2024 in Review

docs.coiled.io/blog/2024-eo...

It’s the time when companies issue year-end summaries, acclaiming success (or not), and forecasting incredible growth for the next year (or not).

I thought I’d do something similar for Coiled. It’s been a significant year for us ...
Coiled 2024 in Review
Coiled's 2024 in review. Where we started, what we did, and where we're going.
docs.coiled.io
coiled.io
coiled.io @coiled.io · Dec 19
Calculating quantiles, a common application in #geospatial workloads, used to be slow due to GIL contention in NumPy.

The new implementation in @dask.org + @xarray.bsky.social is up to a hundred times faster and scales independently of the number of threads 🥳 .

docs.coiled.io/blog/array-q...
Dask dashboard computing quantiles for an Xarray dataset.
coiled.io
We're big fans of rich for a nice terminal experience, but we've found sometimes folks log things even rich can't handle.

As of the latest coiled=1.67.0 release, coiled logs automatically falls back to non-rich printing in these situations.

Release notes: docs.coiled.io/user_guide/c...
Rich terminal output from coiled logs CLI command