Enabling High-Performance, Value-Driven AI for Real-World Use Cases
, Principal Engineering Architect, Product Architecture, NVIDIA
, Product Manager, DataRobot
In the ever-evolving landscape of artificial intelligence, the demand for high-performance, value-driven solutions has never been greater. Businesses across industries are seeking ways to leverage AI to not only enhance their operations, but also achieve tangible value and return on investment. To address these needs, DataRobot and NVIDIA have joined forces to deliver a powerhouse combination of cutting-edge AI technologies.
See how DataRobot acts as a one-stop shop. We'll go through standard workflows such as GPU-acclerated processing of unstructured data, dataset wrangling in snowflake, and hyperparameter tuning for custom tasks, and demonstrate various MLOps capabilities with Apache Airflow and MLflow. We'll also look at some of the inference and monitoring capabilities built specifically to enable large language models and take a deep dive into the collaborative journey of DataRobot and NVIDIA, exploring how the DataRobot platform has integrated NVIDIA AI Enterprise — using generative AI models, APIs, and optimized containers — to build highly performant, enterprise-grade AI solutions and create workflows that are enabling hundreds of real-world use cases for their joint customers.
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NVIDIA technology: Cloud / Data Center GPU,CUDA,DGX,NeMo,RAPIDS,Triton