GPU-accelerated CFD and heat transfer

Simulate more designs.Build better hardware.

Run fast, accurate thermal simulations through a programmable API on cloud GPUs.

Start with 100 free GPU-minutes See how it works

Simulated airflow and temperatures around a Raspberry Pi 5 Active Cooler

Loading Raspberry Pi 5 Active Cooler result…

32× faster

Explore more designs before committing to hardware.

See the validation → Built to automate

Put repeatable simulation inside scripts, optimization loops, and agentic workflows.

Explore the API → Powered by cloud GPUs

Access powerful compute without buying or managing on-premise hardware.

See the platform →

New to Vanellus?

Start here

Sign up, download the Python example, and run a 90 W NVIDIA Jetson Thor cooling simulation in under 30 seconds.

Sign up and create an API key

Start with 100 free GPU-minutes, then add your API key to your shell.

Sign up free API key setup
Download the Python example

Install Requests and Matplotlib, then download the ready-to-run example.
Download jetson_cooling.py
3
Run it and follow the solve

Run the script from its download directory.
```
python jetson_cooling.py
```

How it works

Build a repeatable simulation workflow.

Define simulations through the API, run them on cloud GPUs, and compare more designs in less time.

01

duct-flow.json

{  "domain": {    "origin": [0, 0, 0],    "size": [0.1, 0.02, 0.02]  },  "mesh_settings": {    "max_cell_size": 0.002  },  "numerics": "fast"}

POST /simulations

Define

Describe the geometry, physics, and solver settings in JSON or Python, then reuse the setup for every design variant.

Import STEP and STL geometry
Use JSON directly or generate it with Python
Change parameters without rebuilding the case

02

Simulation statusRunning on cloud GPU

8%

PressureVelocityTemperature

Iteration 40 / 500Elapsed 00:12

Run

Submit simulations through the API and run design variants in parallel on cloud GPUs.

GPU-accelerated results in minutes
Run multiple designs at once
No solver or HPC infrastructure to manage

03

Design study12 completed simulations

All designs

SelectedDesign 01Junction84.2 °CPressure drop7.8 Pa

Compare

Compare temperatures, pressure drops, and other outputs across every completed design.

Download CSV and VTU results
Rank variants by monitored quantities
Choose the best design to build

Simulation capabilities

Conjugate heat transfer, built on proven CFD.

Established finite-volume methods and RANS turbulence models, accelerated on cloud GPUs.

Finite-volume CFDLaminar and turbulent flow Conjugate heat transferCoupled conduction and convection Compact thermal modelsPackage junction temperatures CAD + meshingSTEP import · Rectilinear meshing Cloud APIAutomated cloud GPU runs Engineering outputs3D fields · Monitored quantities

Explore all features

Applications

Thermal simulation across the electronics ecosystem.

Simulate a wide range of electronics, from consumer devices to data center infrastructure.

Real simulation results. All three cases were run through the Vanellus API.

High-density compute

Four-GPU server

Six front-mounted fans drive air through GPU heatsinks and two CPU coolers.

AI accelerators
Server blades
Workstations

Simulated temperatures and airflow through a four-GPU server with finned heatsinks

Compact devices

14-inch laptop

CPU and GPU cooling with dual underside intakes, thermal spreaders, and rear exhaust fins.

Laptops
Mobile devices
Wearables

Laptop keyboard cutaway showing simulated processor temperatures, underside fan intakes, and rear cooling fins

Cooling infrastructure

Eight-rack data hall

Two rows of racks with floor-supplied cooling, a central cold aisle, and overhead returns.

Rack cooling
Air containment
Room layouts

Simulated cool supply and warm recirculating airflow around two rows of data centre racks

Start simulating

Simulate your next thermal design on a GPU.

Start simulating now with 100 free GPU-minutes.

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