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NVIDIA-Certified Associate AI Infrastructure and Operations
A pharmaceutical research team wants to computationally explore chemical space to rapidly generate diverse sets of small molecules tailored to specific drug targets. Which AI use case best describes this workload?
Explanation
Biomolecular generative models and the computational power of GPUs efficiently explore the chemical space, rapidly generating diverse sets of small molecules tailored to specific drug
A data science team currently uses CPU-based pandas and Spark for their end-to-end workflows and wants to accelerate them on GPUs without rewriting their existing code. Which NVIDIA offering directly enables this?
Explanation
With NVIDIA AI software, including RAPIDS™ open-source software libraries, GPUs substantially reduce infrastructure costs and provide superior performance for end-to-end data science workflows
Zero-Code Changes With RAPIDS Available for Spark, pandas, and networkX
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