JupyterHub usage for Monday 10-11-2025
November 11, 2025 at 8:05 AM
JupyterHub usage for Monday 10-11-2025
JupyterHub usage for Sunday 09-11-2025
November 10, 2025 at 8:05 AM
JupyterHub usage for Sunday 09-11-2025
JupyterHub usage for Friday 07-11-2025
November 8, 2025 at 8:05 AM
JupyterHub usage for Friday 07-11-2025
JupyterHub usage for Thursday 06-11-2025
November 7, 2025 at 8:05 AM
JupyterHub usage for Thursday 06-11-2025
JupyterHub usage for Wednesday 05-11-2025
November 6, 2025 at 8:05 AM
JupyterHub usage for Wednesday 05-11-2025
Adam Thornton tells us why 500 real users are worse than 3000 bot users while scaling the Rubin Observatory JupyterHub #jupytercon
November 5, 2025 at 11:03 PM
Adam Thornton tells us why 500 real users are worse than 3000 bot users while scaling the Rubin Observatory JupyterHub #jupytercon
Yuvi is shooting for 6 different live demos of how flexible JupyterHub can be -- it's not just for notebooks! #jupytercon
November 5, 2025 at 8:13 PM
Yuvi is shooting for 6 different live demos of how flexible JupyterHub can be -- it's not just for notebooks! #jupytercon
A talk on the voices of JupyterHub! The longer I spend in OSS, the more utterly convinced I am that the people are the resource, not the software. This talk really captures that.
November 5, 2025 at 7:52 PM
A talk on the voices of JupyterHub! The longer I spend in OSS, the more utterly convinced I am that the people are the resource, not the software. This talk really captures that.
Dan Sholler, Jonah and Beth Duckles applying their social science inquiry skills to the JupyterHub subproject #jupytercon
November 5, 2025 at 7:37 PM
Dan Sholler, Jonah and Beth Duckles applying their social science inquiry skills to the JupyterHub subproject #jupytercon
JupyterHub usage for Tuesday 04-11-2025
November 5, 2025 at 8:05 AM
JupyterHub usage for Tuesday 04-11-2025
Working with arm64, cuda drivers, and shared ram design can be a bit of a learning experience but overall was smoother than I expected.
The Spark is a remarkably capable machine for the price. Not just for LLMs (like gpt-oss-120b), but cuda-accel polars, & even as a shared jupyterhub
The Spark is a remarkably capable machine for the price. Not just for LLMs (like gpt-oss-120b), but cuda-accel polars, & even as a shared jupyterhub
November 4, 2025 at 11:07 PM
Working with arm64, cuda drivers, and shared ram design can be a bit of a learning experience but overall was smoother than I expected.
The Spark is a remarkably capable machine for the price. Not just for LLMs (like gpt-oss-120b), but cuda-accel polars, & even as a shared jupyterhub
The Spark is a remarkably capable machine for the price. Not just for LLMs (like gpt-oss-120b), but cuda-accel polars, & even as a shared jupyterhub
sad to be missing #jupytercon this week!
But small win, recently made my first PR to JupyterHub fancy-profiles to add support for ARM architecture.
& now I have JupyterHub running on an NVIDIA DGX Spark (via k3s).
Also have CUDA/RAPIDS based image in rocker for python+R envs, rocker/cuda:arm64
But small win, recently made my first PR to JupyterHub fancy-profiles to add support for ARM architecture.
& now I have JupyterHub running on an NVIDIA DGX Spark (via k3s).
Also have CUDA/RAPIDS based image in rocker for python+R envs, rocker/cuda:arm64
November 4, 2025 at 11:07 PM
sad to be missing #jupytercon this week!
But small win, recently made my first PR to JupyterHub fancy-profiles to add support for ARM architecture.
& now I have JupyterHub running on an NVIDIA DGX Spark (via k3s).
Also have CUDA/RAPIDS based image in rocker for python+R envs, rocker/cuda:arm64
But small win, recently made my first PR to JupyterHub fancy-profiles to add support for ARM architecture.
& now I have JupyterHub running on an NVIDIA DGX Spark (via k3s).
Also have CUDA/RAPIDS based image in rocker for python+R envs, rocker/cuda:arm64
Tips : You can copy a GitHub project into your jupyterhub account with the command 'git clone https://github.com/amit1rrr/projectA.git' on the command line (through BASH).
November 4, 2025 at 8:05 AM
Tips : You can copy a GitHub project into your jupyterhub account with the command 'git clone https://github.com/amit1rrr/projectA.git' on the command line (through BASH).
JupyterHub usage for Monday 03-11-2025
November 4, 2025 at 8:05 AM
JupyterHub usage for Monday 03-11-2025
Lots of common ground and challenges shared during small group discussions in the JupyterHub users workshop at #jupytercon today!
November 4, 2025 at 12:57 AM
Lots of common ground and challenges shared during small group discussions in the JupyterHub users workshop at #jupytercon today!
JupyterHub usage for Sunday 02-11-2025
November 3, 2025 at 8:05 AM
JupyterHub usage for Sunday 02-11-2025
Tips : You can copy a GitHub project into your jupyterhub account with the command 'git clone https://github.com/amit1rrr/projectA.git' on the command line (through BASH).
November 2, 2025 at 8:05 AM
Tips : You can copy a GitHub project into your jupyterhub account with the command 'git clone https://github.com/amit1rrr/projectA.git' on the command line (through BASH).
JupyterHub usage for Friday 31-10-2025
November 1, 2025 at 8:05 AM
JupyterHub usage for Friday 31-10-2025
When they secured $2k from NASA SMCE for cloud infrastructure, being a 2i2c member meant they could quickly deploy a JupyterHub with serious compute (119 GB RAM, 15 CPUs) - no lengthy setup or admin required.
October 31, 2025 at 1:02 PM
When they secured $2k from NASA SMCE for cloud infrastructure, being a 2i2c member meant they could quickly deploy a JupyterHub with serious compute (119 GB RAM, 15 CPUs) - no lengthy setup or admin required.
JupyterHub usage for Thursday 30-10-2025
October 31, 2025 at 8:05 AM
JupyterHub usage for Thursday 30-10-2025
This partnership builds on a relationship that's been central to 2i2c's story from the beginning. BIDS has helped shape projects like NumPy, scikit-image, NetworkX, and JupyterHub for years.
2i2c.org
October 30, 2025 at 1:01 PM
This partnership builds on a relationship that's been central to 2i2c's story from the beginning. BIDS has helped shape projects like NumPy, scikit-image, NetworkX, and JupyterHub for years.
As our founding premier member, BIDS is financially supporting 2i2c while helping us design member network services. Together we'll co-design how our member network operates, partner on JupyterHub development, and shape our strategic direction.
2i2c.org
October 30, 2025 at 1:01 PM
As our founding premier member, BIDS is financially supporting 2i2c while helping us design member network services. Together we'll co-design how our member network operates, partner on JupyterHub development, and shape our strategic direction.
Tips : If you run jupyterhub on more than one tab, and you log off on one tab make sure to delete the already open ones as well.
October 30, 2025 at 8:05 AM
Tips : If you run jupyterhub on more than one tab, and you log off on one tab make sure to delete the already open ones as well.
JupyterHub usage for Wednesday 29-10-2025
October 30, 2025 at 8:05 AM
JupyterHub usage for Wednesday 29-10-2025
JupyterHub usage for Tuesday 28-10-2025
October 29, 2025 at 8:05 AM
JupyterHub usage for Tuesday 28-10-2025