Optimized Operations - so you can focus on Science
Your Benefits

Unlock Cutting-Edge Scientific Tools in one Click
Accelerate your research with DECTRIS CLOUD's ready-to-run scientific tools, software and workflows. Quickly launch powerful, reproducible analysis pipelines using pre-configured environments, job templates, and interactive Jupyter Notebooks.
Each tool runs in an isolated container-based environment, ensuring consistency, reproducability and easy collaboration. Customize your computational resources, including CPU, GPU, memory, and storage, and seamlessly integrate data from selected experiments.
Eliminate tedious setup tasks with intuitive, reusable job templates—just select your data, set your job parameters and scale on cloud-accelerated high-performance compute clusters. Version control and built-in error-checking ensure reliability and repeatability.
Spend less time configuring and more time innovating, enabling your team to achieve breakthroughs faster and more efficiently.
Accelerate Insights with Instant Data Clarity
Discover immediate insights from your experiments with DECTRIS CLOUD's intuitive visualization and powerful scoring tools.
Effortlessly track data quality and optimize results in real-time across diverse scientific workflows. Automatically visualize critical parameters and performance metrics, enabling swift, informed decision-making. With streamlined interfaces, customizable metrics, and advanced filtering, easily identify top-performing experimental conditions.
Enhance collaboration, productivity, and experiment success with transparent job outputs and seamless cross-experiment dataset exploration. Spend less time curating data and more time generating scientific discoveries.


Collaborate Effortlessly, Achieve More Together
Unlock seamless scientific collaboration with intuitive tooling designed specifically for beamline scientists and their users.
On DECTRIS CLOUD, beamline scientists can easily grant and revoke user access to experiment data through the web application or via a simple API call.
Facilitate real-time collaboration by effortlessly sharing application-specific sessions, borrowing sessions for real-time debugging, and providing immediate user support, regardless of location.
Ensure scientific reproducibility through the seamless sharing of job templates, enabling consistent analysis across different users and empowering systematic data science evaluations.
Manage user and experiment data securely and independently, streamlining collaboration while maximizing productivity and ensuring successful scientific outcomes.
Focus on your user
Predictable Costs
Operational Efficiency
Peak Computation Power
Compliant & Efficient Data Management
Reliable and Secure
See how DECTRIS CLOUD works

How your users experience DECTRIS CLOUD
DECTRIS CLOUD connects facilities from around the world with one goal: to make collaborative data analysis simpler for users.
Data is directly uploaded to DECTRIS CLOUD via a dedicated high bandwidth uplink, making it available to users in <3 seconds - wherever they are.
Users have central access to data from all facilities, even though your data is physically stored on your continent. No more copying and transferring of data.
This central data access is the gateway to effective collaboration. Once in the cloud, you and your users can access data from highly scalable compute clusters, share it with others or publish it in the Open Data Repository.
All of this runs on fully managed hardware and software infrastructure, for you and your users.
Scalable and customizable yearly licenses
DECTRIS CLOUD is customizable for the specific needs of each lab, facility and beamline. And so are the license and cost, ensuring that you get the most value and avoid unused resources.
The yearly licenses are designed to give you the possibility of growing your compute and data needs over time. Going into a shutdown? Just stop the subscription and avoid costs for unused infrastructure.
At the same time, a long lasting Master Service Agreement ensures predictable budgeting and consistent policies over the years to come. No large investments, even if you scale your needs in the future.
And even if you stop using DECTRIS CLOUD, we guarantee that your users' data remains stored and accessible for up to 10 years.


Share and reuse algorithms on highest performance clusters
Share with your users not only data but also processing jobs, software environments and analysis tools. Spend less time troubleshooting software issues of your users and more time discussing insights.
Give your algorithms and tools the power they need by choosing an appropriate amount of CPUs and/or GPUs from the latest generations. Access thousands of CPUs per beamline running on TBits file access speeds. Fully managed, so your IT and software experts can focus on performance, and not maintaining legacy code.
Reuse tools from the community either from the open software repository or directly from your collaborators. Focus on the experiments, results and new developments rather than on coding and reinstalling software and libraries that already exists.
What Our Users Are Saying
Dr. Roeland Boer
Unified data access, cutting-edge processing, and full user control—all with local accessibility.
"I was involved in the technical implementation of the Dectris Cloud service at the XALOC beamline, because I believe that the Cloud service will be a huge help for our users. First, it will provide a singular access point, independent of the source where the data is measured. Second, data processing pipelines can be designed collectively, based on the expertise of partners involved, ensuring proper implementation of the latest insights into best practices and statistical bases for data reduction. All this without loss of control of ownership for the users and with the benefit of retrieving the post processing at our synchrotron so that we offer it to users through local access."
Dr. Tilman Grünewald
“Hosting a hands-on workshop of this scale would have been nearly impossible without the support of DECTRIS CLOUD. Providing each participant with instant access to high-performance computing resources allowed us to focus on the scientific underpinning rather than the technical setup.”


