Domino Data Lab, provider of an Enterprise MLOps platform, is releasing Domino 5.3, introducing updates that improve the time-to-value and impact of data science.
The latest platform version introduces a private preview of its Domino Nexus hybrid and multi-cloud capabilities, plus an expanded suite of connectors to simplify and democratize access to critical data sources, and new GPU inference capabilities that make it easier to productionize high value data science projects, including deep learning.
Domino initially announced its hybrid and multi-cloud architecture, Nexus, in June. Nexus helps enterprises protect data sovereignty, reduce compute spend, and future-proof their infrastructure investments across any cloud or on-premises infrastructure. Today, Nexus is available to select Domino customers.
"Modern enterprise data science teams need access to a wide variety of data and infrastructure across different clouds, regions, on-premises clusters and databases," said Nick Elprin, co-founder and CEO of Domino Data Lab. "Domino 5.3 gives our customers the ability to use the data and compute they need wherever it lives, so they can increase the speed and impact of data science without sacrificing security or cost efficiency."
Domino combines pre-built connectors to the most popular data sources, advanced search capabilities, and integrated data versioning, to maximize the productivity of data science teams, according to the company.
Domino 5.3 builds on the suite of data connectors introduced in prior releases with new capabilities to connect to Teradata warehouses, Amazon S3 tabular data and Trino.
Domino also offers an environment for training advanced deep learning models at the cutting edge of AI and machine learning. New GPU-backed model inference capabilities in Domino 5.3 extend those advantages to model deployment, with no DevOps skills required. By operationalizing deep learning at enterprise scale, Domino enables the most critical workloads for the model-driven business, according to the vendor.
Companies participating in the Nexus private preview can experience how it allows them to restrict access to data by region, helping to enforce compliance with data localization and sovereignty regulations.
In addition, Domino 5.3 delivers new compliance and governance functionality for pharmaceutical companies that rely on Domino as a modern Statistical Computing Environment. An unalterable audit trail outlines who has been granted access to data within a project to comply with GxP guidelines for regulatory submissions for clinical trials.
For more information about these updates, visit www.dominodatalab.com.