Supply of a High-Performance GPU AI Compute Server

The Vendor is required to provide supply of a high-performance GPU AI compute server for deep learning research.
- Equipment will support interdisciplinary research at the intersection of artificial intelligence, computational biology, and spatial ‘omics imaging aimed at understanding the molecular mechanisms underlying neurological diseases, brain cancers, and infection-related brain disorders.
- The infrastructure will enable large-scale analysis of multi-modal biological data generated by advanced imaging technologies, including mass spectrometry imaging (MSI), spatial transcriptomics, and digital histopathology. 
- These technologies produce extremely large, high-dimensional datasets that require specialized GPU-accelerated computing for processing, integration, and analysis.
- The computational system will support the development of AI and machine learning methods for multi-modal data integration, biomarker discovery, and disease modeling.
- The infrastructure will also support the development of advanced AI models for spatial pattern recognition, disease progression modeling, and cross-population analysis, enabling researchers to detect subtle pathological features and molecular interactions that cannot be identified using traditional analytical methods.
- By providing high-performance GPU computing resources for large-scale data analysis, this equipment will play a critical role in translating multi-modal spatial biology data into clinically actionable insights
- The computing system will enable training of large foundation models and GPU-accelerated simulations using modern deep learning frameworks.
- The equipment will be integrated into existing research infrastructure and will provide shared compute resources for graduate students, postdoctoral fellows, and research collaborators.