Keep familiar tools
Bring existing Python workflows instead of starting again with a new stack.
Research computing, made approachable
Scale the workflow you already know.
HPC-DAT helps researchers move from a laptop to high-performance computing without leaving behind Python, PyData, Jupyter, or Dask.
01 / What we do
A practical route into HPC for the NES community.
Funded by NWO under the TDCC-NES 2024 call, HPC-DAT builds on the established RS-DAT framework to connect familiar research practices with scalable infrastructure.
Scale with confidence
Use Jupyter, Dask, and PyData tooling across clusters and supercomputers.
Learn together
Share questions, use cases, training material, and experience in the forum.
02 / Project log
News
HPC-DAT Bring-your-own-problem hackathon
Bring your problem, explore solutions, and move your workflow forward.
Read and discuss →Fall and winter workshops: dates coming soon
We are finalizing workshop dates for the fall and winter period. Announcements are coming soon, so watch this space.
Read and discuss →HPC-DAT tutorial at the EO Council autumn school, Delft, 6 November 2026
HPC-DAT will contribute a tutorial session to the autumn school organized by the EO Council in Delft on 6 November 2026.
Read and discuss →Second user committee meeting, Amsterdam, 10 September 2026
The second user committee meeting is scheduled for 10 September 2026 in Amsterdam.
Read and discuss →Open hackathon: high-performance computing with Python and RS-DAT, Utrecht, 27-29 May 2026
Get support adopting RS-DAT and developing Dask and PyData skills during this open hackathon in Utrecht.
Read and discuss →Bring a workflow. Bring a question.