Service-Enabled Science Program
The ALCF’s Service-Enabled Science program brings together HPC and AI resources, AI inference and model training capabilities, integrated workflow tools, and large-scale data sharing and storage. These services support the full research cycle, from data processing and simulation to analysis and discovery, providing scientists with a unified environment to tackle complex, data-intensive challenges.
Scientists can move data seamlessly through each stage of their workflows, running large-scale simulations or analyzing experimental and observational data, while leveraging AI to accelerate insights and collaborating efficiently across institutions. With its broad set of tools and services, the ALCF is enabling researchers to focus on their science instead of the technical demands of high-performance computing, AI, and data management.
Service-Enabled Science Training Series
The ALCF’s Service-Enabled Science training series is designed to help researchers put these tools and services into practice.
Who should attend
The series is open to researchers across all disciplines, including teams at experimental and observational facilities, scientists running large-scale simulations, and researchers working with other high-volume datasets.
What to expect
Participants will gain practical knowledge of how to integrate ALCF services into their workflows for data management, analysis, and collaboration. The series will include informational webinars and hands-on training sessions, offering opportunities to work with real-world datasets and workflows. Attendees will also hear success stories from research teams who are using these services to enable faster, more efficient science.
Sessions listed below. Details on upcoming webinars will be added as they become available.
