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Scaling GPU Infrastructure for Drug Discovery: From Model Training to Scientific Compute
Analyze how growing demand for model training, inference and simulation is reshaping GPU infrastructure strategies across pharma R&D.
Explore what it takes to scale GPU environments effectively, including capacity planning, scheduling, utilization and workload prioritization.
Assess how organizations are building accelerated compute environments that support both immediate research needs and longer-term AI ambitions.
