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NVIDIA-Powered Clean Rooms Could Be a Game Changer for LiveRamp

LiveRamp announced an upgrade to its clean room architecture with native support for NVIDIA AI infrastructure, allowing AI partners and brands to train and deploy models up to 15x faster while keeping data and model weights secure. This move strengthens LiveRamp's role as a neutral, privacy-focused hub for AI-driven marketing.

May 10, 2026
2 min read
Source: Simply Wall St.
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Key Numbers

speed improvement
15x faster

In late April 2026, LiveRamp (RAMP) announced it had upgraded its clean room architecture with native support for NVIDIA (NVDA) AI infrastructure. This enables AI partners and brands to train and deploy sophisticated models up to 15x faster while keeping data and model weights secure.

The Product

The enhanced clean room from LiveRamp is a secure computing environment that allows brands and AI partners to collaborate on data without exposing sensitive information. By supporting NVIDIA's AI infrastructure, GPU-optimized machine learning models can now run more efficiently, reducing technical friction and improving deployment speed.

Pricing and Availability

LiveRamp has not disclosed specific pricing details yet, but the service is now available to existing customers through the LiveRamp platform. It is expected to be part of existing enterprise subscriptions or offered as an add-on based on usage.

Competition

LiveRamp faces competition from other clean room solutions such as Snowflake, Amazon Web Services (AWS), and Google Cloud. However, its focus on privacy and neutrality may give it a competitive edge in the data-driven marketing sector.

Potential Impact on the Company

This upgrade is expected to strengthen LiveRamp's position as a neutral hub for AI-driven marketing, potentially attracting new customers and increasing revenue. It also demonstrates LiveRamp's commitment to innovation in privacy and AI.

Frequently Asked Questions

A clean room is a secure computing environment that allows brands and AI partners to collaborate on data without exposing sensitive information.

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This article was rewritten in Wrqti's editorial style based on information from the original source above. Content is informational only — not investment advice.