Analytics
Announcements
Cloud
Data Science
April 16, 2020 By Yin Chen < 1 min read

Watson Studio now has GPU environments for notebook users.

This new feature will be available to Watson Studio standard and enterprise plan users in the Dallas region. There can be up to 4 Nvidia® K80 GPUs in one environment. 

What is a GPU and why is it useful? 

A GPU (Graphics Processing Unit) is commonly used for accelerating deep learning workloads and popular machine learning libraries, such as XGBoost. In many cases, it can achieve over 10x speed-up compare to common CPUs.

How to use a GPU notebook in Watson Studio

GPU environments have popular deep learning libraries pre-installed. Just create a new notebook, select the default GPU environment as runtime, and you are good to go. It is also easy to customize a GPU environment with your own set of libraries through Conda configuration. You can learn more about GPU environments in our documentation.

Yin Chen
Offering Manager, Watson Studio Deep Learning

More from Analytics
July 1, 2024

IBM acquires StreamSets, a leading real-time data integration company

3 min read - We are thrilled to announce that IBM has acquired StreamSets, a real-time data integration company specializing in streaming structured, unstructured and semistructured data across hybrid multicloud environments. Acquired from Software AG along with webMethods, this strategic acquisition expands IBM's already robust data integration capabilities, helping to solidify our position as a leader in the data integration market and enhancing IBM Data Fabric’s delivery of secure, high-quality data for artificial intelligence (AI).  According to a Forrester study conducted on behalf of…

July 1, 2024

Fine-tune your data lineage tracking with descriptive lineage

4 min read - Data lineage is the discipline of understanding how data flows through your organization: where it comes from, where it goes, and what happens to it along the way. Often used in support of regulatory compliance, data governance and technical impact analysis, data lineage answers these questions and more.  Whenever anyone talks about data lineage and how to achieve it, the spotlight tends to shine on automation. This is expected, as automating the process of calculating and establishing lineage is crucial to…

June 19, 2024

Reimagine data sharing with IBM Data Product Hub

3 min read - We are excited to announce the launch of IBM® Data Product Hub, a modern data sharing solution designed to accelerate data-driven outcomes across your organization. Today, we're making this product generally available to our clients across the world, following its announcement at the IBM Think conference in May 2024. Data sharing has become the lifeblood of modern organizations, fueling growth and driving innovation. But traditional approaches to data sharing can often be a bottleneck constricting the seamless sharing of data.…

IBM Newsletters

 Get our newsletters and topic updates that deliver the latest thought leadership and insights on emerging trends.
Subscribe now More newsletters