Mon Sep 23 17:43:27 UTC 2024: ## Databricks Embraces NVIDIA L4 GPUs for Enhanced AI and Data Processing

**San Francisco, CA – September 23, 2024** – Databricks, the leading data and AI platform provider, today announced support for Amazon EC2 G6 instances powered by NVIDIA L4 Tensor Core GPUs. This integration marks a significant step towards providing customers with more efficient and scalable solutions for their data processing, machine learning, and AI workloads.

The G6 instances, powered by NVIDIA’s latest Ada Lovelace architecture, offer significant performance gains and cost-effectiveness for even the most demanding AI workloads. This means researchers, data scientists, and data engineers can now leverage these powerful GPUs to train complex deep learning models, run batch inferences, and process vast amounts of video and audio data within the Databricks platform.

“We’re committed to providing our customers with access to the most advanced technologies,” stated [Insert Name and Title, Databricks]. “The integration of G6 instances demonstrates our dedication to staying ahead of the curve in AI and data analytics innovation. We’re excited to see the impact this will have on our customers’ ability to extract insights from their data and accelerate their AI initiatives.”

G6 instances are currently available in the AWS US East (N. Virginia and Ohio) and US West (Oregon) regions, with more locations expected to be added in the future. To utilize G6 instances, simply create a new compute with a GPU-enabled Databricks Runtime Version and select G6 as the Worker and Driver Type.

Databricks plans to continue expanding its GPU support, including the addition of Gr6 and P5e instances, as well as AMD GPUs. This commitment reflects their dedication to providing a flexible and future-proof platform that adapts to the ever-evolving landscape of AI compute innovation.

For detailed instructions and more information, please visit the Databricks documentation.

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