@coiled.io
Run Python on the cloud easily + cheaply. Based on Dask for parallel computing.
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...
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...
March 5, 2025 at 9:36 PM
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...
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...
🔨 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...
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...
February 25, 2025 at 6:07 PM
🔨 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...
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
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 ...
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
January 6, 2025 at 2:05 PM
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 ...
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 ...
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...
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...
December 19, 2024 at 1:07 AM
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...
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...
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...
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...
December 5, 2024 at 10:16 PM
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...
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...
Learn more about @dask.org + @xarray.bsky.social for large-scale geo workloads at PyData Global.
We'll cover what works (and what breaks) + updates on building a benchmarking suite for 100s of TBs of geospatial data.
🗓️ Thursday, Dec. 5th
⏰ 4pm UTC
global2024.pydata.org/cfp/talk/G9D...
We'll cover what works (and what breaks) + updates on building a benchmarking suite for 100s of TBs of geospatial data.
🗓️ Thursday, Dec. 5th
⏰ 4pm UTC
global2024.pydata.org/cfp/talk/G9D...
Dask ❤️ Xarray: Geoscience at Massive Scale PyData Global 2024
Doing geoscience is hard. It’s even harder if you have to figure out how to handle large amounts of data!
Xarray is an open-source Python library designed to simplify the handling of labeled multi-di...
global2024.pydata.org
December 3, 2024 at 7:22 PM
Learn more about @dask.org + @xarray.bsky.social for large-scale geo workloads at PyData Global.
We'll cover what works (and what breaks) + updates on building a benchmarking suite for 100s of TBs of geospatial data.
🗓️ Thursday, Dec. 5th
⏰ 4pm UTC
global2024.pydata.org/cfp/talk/G9D...
We'll cover what works (and what breaks) + updates on building a benchmarking suite for 100s of TBs of geospatial data.
🗓️ Thursday, Dec. 5th
⏰ 4pm UTC
global2024.pydata.org/cfp/talk/G9D...