Accelerate Discovery with Transparent, Accessible, and Intuitive Computing
What is Parallel Works' ACTIVATE?
Parallel Works' ACTIVATE platform is a control plane for research computing—a powerful, cloud-agnostic solution that simplifies access to high-performance computing (HPC) resources across on-premise clusters and public clouds.
Designed for academic institutions, ACTIVATE enables researchers to launch, manage, and monitor complex workflows without needing deep technical expertise. Whether supporting biomedical research, climate modeling, or machine learning, ACTIVATE helps universities and labs accelerate discovery by making advanced computing more transparent, intuitive, and accessible.
Why ACTIVATE for Academia?
Transparent & Researcher-Friendly Interface
See exactly how resources are used across projects and teams
Clear, intuitive dashboards for job tracking, cost monitoring, and performance analytics
No black-box operations—ideal for reproducibility and trust
Ease of Access to Compute Resources
Self-service portal for requesting compute, storage, and services—no need for ticketing systems or IT intermediaries
Integrated authentication with campus identity systems (SSO, LDAP)
Preconfigured workflows and templates tailored to research needs
Advanced Computing Without the Complexity
No HPC expertise required—natural UI, guided workflows, and familiar tools
Support for Jupyter, RStudio, VS Code, and other academic-standard interfaces
Click-to-launch environments reduce onboarding time for faculty and students
Key Capabilities
Hybrid & Multi-Cloud Ready: Extend campus clusters with AWS, Azure, or Google Cloud—without vendor lock-in
Data Management Built In: Persistent storage, collaboration tools, and automatic data lifecycle policies
Collaborative by Design: Support research teams, lab groups, and inter-institutional projects with shared environments and resource controls
Use Cases
Genomic sequencing & bioinformatics
Computational chemistry & molecular dynamics
Imaging and microscopy data pipelines
AI/ML-driven biomedical research
Educational sandbox environments for teaching HPC, data science, and engineering
