High Performance Computing
MUSCULAR Cluster
Mahidol HPC platform supporting life-science, medical analytics, AI research, and large-scale computation. Designed for secure private workspaces, federated learning collaboration, and international research networks.
What we provide
Secure, isolated environments per project, request-based resource allocation (GPU/RAM/Storage/Time), and a federated learning platform for multi-institution collaboration.
For: Researchers, clinical teams, data scientists, cross-hospital collaborations, and international partners.
Service Models
Three pillars to make advanced research operational, compliant, and scalable.
Private Compute Space
Each project receives an isolated container workspace (no mixing with other users). Resource requests specify GPU/RAM/storage and time window for allocation and governance.
Federated Learning as a Service
Train AI models jointly across organizations without moving data from its origin. Exchange only the model parameters required for collaboration.
International Federated Research Network
Cross-border federated collaboration (e.g., Taiwan and UK) and expansion to Mahidol’s 11 network hospitals for medical AI and research integration.