Alternatives

Products that do what Running Jupyter Notebooks on a GPU on AWS or Google Cloud does

1. 1TF
   TensorFlow for AWS on a Real GPU▲77

   2015 · github.com

2. 2
   Gradient Community Notebooks▲87

   Jupyter notebooks you can run on free cloud GPUs

   2019

3. 3MD
   my database engine for GPU▲364

   2012 · sourceforge.net

4. 4CG
   Cloud GPUs for Deep Learning – At 1/3 the Cost of AWS/GCP▲168

   2021 · gpu.land

5. 5GB
   GPU-backed Linux desktops in the cloud▲23

   2016 · paperspace.com

6. 6JR
   Jupystar – Run any Jupyter notebook in the browser▲79

   2020 · starboard.gg

7. 7AK
   Ansible Kernel – Run Ansible Tasks and Plays with Jupyter Notebook▲123

   2018 · github.com

8. 8CP
   Cross-platform desktop applications with PyQT▲315

   2018 · github.com

9. 9SN
   SoS Notebook – Using multiple kernels in one Jupyter notebook▲41

   2017 · vatlab.github.io

10. 10
    crunr ▲106

    Launch and run any compute job on AWS with 1 command

    May 2026 · crunr.com

11. 11LC
    Low code Jupyter Notebook alternative with dashboards▲37

    2020 · github.com

12. 12TC
    TensorDock Core GPU Cloud – GPU servers from $0.29/hr▲147

    Hello HN! I’m Jonathan from TensorDock. After 7 months in beta, we’re finally launching Core Cloud, our platform to deploy GPU virtual machines in as little as 45 seconds! https://www.tensordock.com/product-core Why? Training machine learning workloads at large clouds can be extremely expensive. This left us wondering, “how did cloud ever become more expensive than on-prem?” I’ve seen too many ML startups buy their own hardware. Cheaper dedicated servers with NVIDIA GPUs are not too hard to find, but they lack the functionality and scalability of the big clouds. We thought to…

    2022 · tensordock.com

13. 13FT
    Fine-tune an 8B model on a 4 GB laptop GPU▲139

    Aug 2026 · github.com

14. 14RJ
    Rendering Jupyter notebooks in the browser▲22

    2016 · github.com

15. 15PC
    Parsing CSV files with GPU▲123

    2015 · github.com

16. 16FH
    Free Hosted JupyerLab with GPU▲12

    Hi, This is Dan and Genevieve from Burstable AI. We've iterated and made a 45 degree pivot, taking what we learned from developing burst (https://news.ycombinator.com/item?id=28191459) to introduce a cloud service that provides access to a GPU-enabled machine using Jupyterlab to provide notebooks, shell access, and a code/text editor. GPU access is measured and the first 50 hours are free. This is *not* a platform to do crypto mining or run weeks of model training for free. We are focused on the R & D phase of modern AI/ML, where developers/scientists are…

    2022 · cloudburst.host

17. 17CL
    Cloud Launchpad for Google▲52

    2014 · google.bitnami.com

18. 18AS
    A simple scheduler for running jobs on GPUs▲60

    2019 · github.com

19. 19VA
    Vex, a new way to run things in Python's virtualenvs▲149

    2014 · pypi.python.org

20. 20BA
    Booste – a cloud-hosted desktop for developers▲86

    2019 · devs.booste.io

21. 21RA
    Run and import Jupyter notebooks like libraries▲11

    2020 · github.com

22. 22PB
    Physically-Based GPU Pathtracer with Mitsuba XML Support▲63

    2021 · github.com

23. 23DG
    Dockerized GPU Deep Learning Solution (Code and Blog and TensorFlow Demo)▲80

    2016 · github.com

24. 24NG
    Navatala GPU – multi-back end GPU kernels and Python bindings▲6

    Jun 2026 · github.com

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