LiveRamp integrates Nvidia AI infrastructure
April 28, 2026
LiveRamp, the specialist in data collaboration, has announced native support for Nvidia AI infrastructure, upgrading its clean room architecture to handle compute-intensive AI workloads. AI partners and brands can now securely and seamlessly train and deploy sophisticated models using LiveRamp clean rooms or via the LiveRamp Marketplace at up to 15x speed, without exposing data or model weights. By moving to GPU-optimised clean room infrastructure, LiveRamp says it now supports the most advanced model training and inference.
By implementing GPU-optimised infrastructure, LiveRamp eliminates the technical hurdle of AI partners needing to rearchitect models for CPU-based environments. AI partners can now plug-and-play existing code within LiveRamp’s clean rooms. Model providers and brands using Marketplace or Clean Rooms can stitch together disparate datasets with unprecedented scale and ease for AI-driven marketing. This ensures compute-intensive models are trained on the most complete and accurate foundation of insights.
“This integration brings together world-class compute with the identity and data foundation needed to power the next generation of AI in advertising,” commented Pirouz Nilforoush, President and Co-Founder at inPowered AI. “Training and scaling outcome-driven models on the sell-side requires both massive compute and a secure data foundation. LiveRamp’s GPU-enabled clean rooms give us the ability to move faster and operate at greater scale—unlocking more precise decisioning across the open web for brands.”
“By upgrading GPU-optimised infrastructure, we’re making the highest-performance computing and collaboration easy and accessible to our network of 900+ brands, publishers, and platforms,” said Matt Karasick, Chief Product Officer at LiveRamp. “Whether a data scientist is training a predictive model on billions of rows of transactions, or a marketer needs a new model to improve measurement, LiveRamp empowers clients to train and run their most advanced models at scale, without ever compromising data security or proprietary IP.”
“GPUs are the engine of the next generation AI marketing tech stack, purpose-built for the most demanding training and inference workloads,” added Jamie Allan, Director of AdTech & Digital Marketing Industries at Nvidia. “Extending the power of Nvidia’s accelerated computing through LiveRamp gives marketers a frictionless foundation to scale their marketing and transform the speed of innovation.”
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