Alluxio 2.6 Brings Ease Of Use Improvements To GPU-Centric AI/ML Workloads

TFiR

Alluxio has announced the immediate availability of version 2.6 of its Data Orchestration Platform. This new release features an enhanced system architecture enabling AI/ML platform teams using GPUs to accelerate their data pipelines for business intelligence, applied machine learning and model training.

Alluxio Releases Performance and Ease-of-Use Enhancements for GPU-Centric AI/ML Workloads

TDWI Upside

Alluxio, the developer of open source data orchestration software for large-scale workloads, released version 2.6 of its Data Orchestration Platform. This release features an enhanced system architecture enabling AI/ML platform teams using GPUs to accelerate their data pipelines for business intelligence, applied machine learning, and model training.

Alluxio Streamlines Data Pre-Processing and Loading Phases in Data Orchestration 2.6

DBTA

Alluxio, the developer of open source data orchestration software for large-scale workloads, is releasing version 2.6 of its Data Orchestration Platform, featuring an enhanced system architecture that enables AI/ML platform teams using GPUs to accelerate their data pipelines for business intelligence, applied machine learning, and model training.

DBTA 100 2021: 20 Data Integration Vendors Our Editors Are Tracking

DBTA

Database Trends and Applications recently released its DBTA 100 2021, an annual listing of data, information management, big data, and data science companies that are preparing for the future. The list spans the spectrum of both “well-established and cutting edge” solution providers offering data platforms, tools and technologies to organizations around the globe. Some of the vendor entries are published alongside View From the Top articles which are penned by executives from the companies themselves.

DBTA 100 2021: 20 Data Integration Vendors Our Editors Are Tracking

Solutions Review

Database Trends and Applications recently released its DBTA 100 2021, an annual listing of data, information management, big data, and data science companies that are preparing for the future. The list spans the spectrum of both “well-established and cutting edge” solution providers offering data platforms, tools and technologies to organizations around the globe. Some of the vendor entries are published alongside View From the Top articles which are penned by executives from the companies themselves.

DBTA 100 2021: The Companies That Matter Most in Data

DBTA

The past 15 months have provided an object lesson for all organizations in the importance of being agile and moving quickly to address new challenges and opportunities. The COVID-19 pandemic created even greater urgency to better manage and extract valuable insights from data for companies that were already dealing with expanding regulatory pressures, new data security risks, and burgeoning data volumes.