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Informatica extends serverless cloud data management platform to NVIDIA GPUs

Written by Tue 16 Mar 2021

NVIDIA GPUs to enable 5 times performance boost for cloud-native data workloads

Cloud data management company Informatica has announced the integration of its Spark-based Cloud Data Integration engine with NVIDIA graphical processing units (GPUs).

Informatica’s serverless multi-cloud data management platform is designed so that data engineers, machine learning engineers, and data scientists can quickly access and operationalise data without needing to be coding experts.

According to Gartner, 41 percent of employees outside of corporate IT are no longer just ‘end users’ of technology but ‘technology producers’ that customise or build analytics or technology solutions to support their work, emphasizing the need for companies to provide these users easy access to timely and accurate data.

The updated engine effectively means data scientists can leverage the power of GPUs without requiring explicit coding skills.

This is important as analytics, machine learning, and data science projects traditionally run on slower CPUs. GPUs, on the other hand, are far more capable at these data tasks as they utilise parallel processing that allows for multiple threads to execute at the same time.

Informatica said the availability of NVIDIA GPUs will enable customers to accelerate data management workloads and operationalise machine learning models up to “5X faster and at scale, enabling faster insights to make critical business decisions.”

By leveraging the power of GPU-accelerated software and computing, data management pipelines, MLOps and DataOps frameworks built on Informatica can also deliver up to 72% TCO savings, claimed Informatica.

“Data democratisation is the holy grail of digital transformation initiatives,” said Jitesh Ghai, Chief Product Officer, Informatica.

“You can’t leverage the power of data and gain valuable insights if you are restricted in your data access. Our collaboration with NVIDIA is valuable to us in bringing enterprise-scale data democratisation and narrowing the gap between the data-haves and the data-have-nots within the enterprise.”

“This important milestone with NVIDIA shows our continued commitment to unlock the value of data embedded in organisations across all levels and more importantly empower all key users to gain faster business-critical insights and operationalise data analytics and data science projects at scale.”

Written by Tue 16 Mar 2021


data management
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