Take your science further with the cloud.

Run HPC, Big Data and AI workloads on CPUs and GPUs - instantly - with just a few simple Python commands.

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Run a simulation in seconds

Our CPU and GPU engines scale up to 2048 CPU cores and 512 A100s/H100s GPUs.

Infrastructure-free compute

Compile and deploy your simulations, with just one line of Python.

Camber abstracts away complex infrastructure making it easy for scientists and researchers to work and collaborate in the cloud.

Big Data tooling made simple

Easily interact with our cloud-based object storage solution, Camber Stash through the use of advanced parallel data processing tools, such as Apache Spark, and more.

By using parallel processing, you can speed up data handling, reduce the workload, and gain insights from your data at unprecedented speeds.

Share and open source your datasets

Collaborate, interact and share data with your team and the community.

Easily deploy popular scientific packages

With Camber Science Engines you can start doing your science right away.

Here, our API for the popular code MESA makes stellar structure modeling simpler than ever.

Interested in creating your own Science Engine? No problem. Feel free to reach out!

Supporting research at

Our customers love us

“It’s unbelievable how simple it is. It just works. Camber is fantastic.”

- Prof. Alfredo Alexander-Katz, MIT, Material Science & Engineering

“Camber is an amazing tool for undergrad and grad education. I plan on using it for all my future workloads.”

- Prof. Phil Chang, Univ. of Wisconsin Milwaukee, Department Chair, Physics

“Works like a dream.”

- Callum Fairbairn, Member, Institute for Advanced Study, Princeton

Infrastructure-Free Compute

Compile and deploy your simulations, without thinking about infrastructure.

import camber

git pull *your code*

camber.mpi.compile(*your input*,
                   engine_size="MEDIUM")
camber.deploy(*your binary*, 
              extngine_size="XLARGE")

Our CPU engines scale up to 1024 cores and our GPU engines can scale up to 512 A100/H100s.

# Using a GPU engine is just 
# as simple as a CPU engine

camber.deploy(*your binary*, 
              engine_size="XLARGE", 
              use_gpu=True)

What makes us Different

scalable

HPC & AI powered by the cloud

Provides a flexible, scalable cloud-based solution able to handle complex workloads and large dataset and is ideal for data processing, simulation, and analysis, all within a single computing environment.

EASY TO USE

Intuitive APIs

Login to our platform and with just a single line of code, you can provision cloud resources in seconds, allowing you to focus on your research without the need for cloud expertise.

PAY-AS-YOU-GO

Affordable pricing

Eliminates the need for expensive hardware and infrastructure investments. With our affordable pay-as-you-go pricing model, only pay for the resources you use.

ON DEMAND

Instant provisioning

On-demand MPI & Spark, provisioned instantly. Seamlessly run simulations and analyze data, regardless of scale.