

Maximizing ROI In Drug Discovery with HPC and AI
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Join Hewlett Packard Enterprise and AMD as we discuss how your organization can build a framework for success to guide stakeholders through optimizing existing resources, integrating AI for drug design, balancing performance with cost, and adopting proven practices from real-world applications The outcome: a hybrid HPC environment that reduces R&D timelines, controls expenses, and accelerates time to discovery.
The integration of High-Performance Computing (HPC) and Artificial Intelligence (AI) is transforming drug discovery and life sciences research. Learn the strategic steps for maximizing ROI through HPC and AI, including assessing current resources, integrating AI workloads, leveraging AI for drug discovery, optimizing performance and costs, and adopting best practices from successful case studies. By creating a hybrid environment that efficiently utilizes HPC capacity for AI workloads, this approach accelerates the development of new therapeutics and enhances our understanding of complex biological systems, ultimately reducing time and costs in drug development.

