Bringing NVIDIA CUDA computing to the Databricks Data Intelligence Platform to bolster energy efficiency and savings
SAN FRANCISCO, June 12, 2024 -- Databricks, the Data and AI company, today announced an expanded collaboration with NVIDIA during the Data + AI Summit to optimize data and AI workloads by bringing NVIDIA CUDA accelerated computing to the core of Databricks' Data Intelligence Platform. As data prep, curation and processing workloads are essential to using enterprise data for generative AI applications, the companies' work together is designed to boost the efficiency, accuracy and performance of AI development pipelines for modern AI factories. Through this broadened alliance, Databricks is adding native support for NVIDIA GPU acceleration on the Databricks Data Intelligence Platform. Today's announcement builds on Databricks and NVIDIA's collaboration to offer enriched experiences for enterprises, whether via training classical ML models, building and deploying generative AI applications, or optimizing digital twins.
"We're thrilled to continue growing our partnership with NVIDIA to deliver on the promise of data intelligence for our customers from analytics use cases to AI," said Ali Ghodsi, Co-founder and CEO at Databricks. "Together with NVIDIA, we're excited to help every organization build their own AI factories on their own private data."
"Data is the fuel for the generative AI industrial revolution, so reducing data processing energy demands with accelerated computing is essential to sustainable AI platforms," said Jensen Huang, founder and CEO of NVIDIA. "Databricks is the pioneer of large-scale data processing. By bringing NVIDIA CUDA acceleration to Databricks' core computing stack, we're laying the foundation for customers everywhere to use their data to power enterprise generative AI."
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