Camber was founded with the belief that science is hard, but scientific computing shouldn’t be. Built to meet the unique needs of scientists, researchers, and educators everywhere, our cloud computing platform makes it easy to access state-of-the-art engines.
Camber eliminates the barriers of cloud expertise and expensive infrastructure investments. Whether you need full scale computing power for research, additional resources to supplement your on-premise cluster, an easy-to-use platform for your educational needs, or support gaining the most from your current cloud capacity, Camber can help.
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.