Built to meet the unique needs of scientists, researchers, and academics, our cloud computing platform offers a highly scalable and secure infrastructure, making it easy for researchers to process large datasets and run complex simulations.
Camber eliminates the need for expensive hardware and infrastructure investments. With our affordable pay-as-you-go pricing model, pay only for the resources used, ideal for both small and large-scale research projects.
All-sky histogram using 1 Tb of Gaia Catalog data visualized in just minutes using Camber’s managed Apache Spark.
Magnetohydrodynamic flow simulated with Camber’s managed OpenMPI. This simulation took 100s.
Configure and deploy popular scientific packages instantly with a simple Python command.
Here, the classic Kelvin-Helmholtz instability was calculated using Camber’s Athena++ Science Engine in parallel across 8 H100 GPUs, at 8192^2 resolution.
With Camber’s intuitive Python APIs run seamless on-demand distributed computing workloads. Launch cloud infrastructure with just a single line of Python.
You bring the science, we’ll handle the rest.