AppHub logoppHub

Compute & AI Toolsin your browser

Why AppHub?
Jupyter
PythonJuliaRBlender
Reproducible environments
In science, a result only counts if someone else can reproduce it. Every server you start on the AppHub guarantees exactly that because it launches from an identical setup right in your browser.
Server hardware
Don't fight the hardware
Everything runs in the university computing center, backed by emergency power. When we upgrade hardware, your workloads simply run faster. No action needed, no downtime, nothing to configure.
VS Code
JupyterLab
RStudio
Desktop
50 Servers
1520 vCPUs
8 TB RAM
60 GPUs
Computing power
Real machines in the university computing center: 50 servers, 1,520 cores, 8 TB memory, and 60 GPUs. All shared across the university, so there's always more power available than any single laptop could give you.
Environment friendly
Our computing center is proud to be eco-friendly with its innovative cooling system. Instead of using conventional AC based on "vapor-compression refrigeration", we utilize a heat exchanger. This combined with our water cooling system usually allows us to achieve an impressive 70% energy reuse. Not only does this efficiently cool our computing equipment, but it also captures the energy generated and redirects it for heating purposes. Join us in our commitment to sustainability.
0%
Prices
Default
Standard
Free
Fast Support
All Availabe CPUs, GPUs and RAM
Help planning your project
Help fixing your bugs
Pro
1 Cake
/user/year
Fast Support
All Availabe CPUs, GPUs and RAM
Help planning your project
Help fixing your bugs
Premium
5 Cakes
/user/year
Fast Support
All Availabe CPUs, GPUs and RAM
Help planning your project
Help fixing your bugs