(P1) Data collaboration platform LiveRamp is directly challenging the dominance of CPU-based infrastructure in marketing AI by integrating native support for Nvidia’s GPUs, a move that accelerates model training and inference workloads by up to 15 times and lowers costs for its partners.
(P2) "By upgrading to GPU-optimized infrastructure, we're making the highest-performance computing and collaboration easy and accessible to our network of 900+ brands, publishers, and platforms," Matt Karasick, Chief Product Officer at LiveRamp, said.
(P3) The enhancement to LiveRamp’s clean room architecture allows AI partners and brands to securely train and deploy sophisticated models without exposing sensitive data or proprietary model weights. Preliminary tests show performance gains of up to 15x compared to previous CPU-based environments. This eliminates a significant technical hurdle, as AI partners can now use their existing, compute-intensive models without needing to recode them for a different architecture.
(P4) For investors, the integration solidifies LiveRamp’s role as critical infrastructure for AI-powered advertising. While the company's stock (NYSE: RAMP) has seen mixed long-term performance, recent momentum and a trading price of $29.25—below InvestingPro’s fair value estimate and an average analyst target of $37.88—suggest potential upside. The move is expected to drive adoption across LiveRamp's large client base and strengthen its competitive moat.
This integration brings together world-class compute with the identity and data foundation needed to power the next generation of AI in advertising,” said Pirouz Nilforoush, President and Co-Founder at inPowered AI. “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.
For marketers, the benefits include compressed timelines for performance optimization and easier access to advanced AI without needing large data science teams. For AI model providers, it offers scaled distribution and the ability to protect their intellectual property, as their proprietary code and model weights are never exposed to partners.
"GPUs are the engine of the next generation AI marketing tech stack, purpose-built for the most demanding training and inference workloads," said 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."
The integration is currently in a limited release, with general availability expected later this year. LiveRamp, which holds more cash than debt, is well-positioned to fund such technological advancements. The company recently expanded its marketplace to include data and models for AI training, further cementing its role in the marketing AI supply chain.
This article is for informational purposes only and does not constitute investment advice.
