LiveRamp announced the addition of native support for NVIDIA’s GPU‑optimized AI infrastructure, upgrading its clean‑room architecture to handle the world’s most compute‑intensive AI workloads. The enhancement enables AI partners and brands to train and deploy sophisticated models within LiveRamp’s clean rooms or through its Marketplace at up to 15‑times the speed of CPU‑based environments, while keeping data and model weights secure.
The integration is currently in a limited release, with general availability expected later in 2026. By embedding NVIDIA’s high‑performance compute directly into its platform, LiveRamp is positioning itself as a comprehensive AI infrastructure provider rather than just a data collaboration network.
LiveRamp serves a network of more than 900 brands, publishers, and platforms. The NVIDIA partnership differentiates the company from competitors such as Hightouch, Epsilon Digital, and TransUnion TruAudience by offering superior AI compute capabilities within a secure, privacy‑preserving environment.
LiveRamp’s Q3 fiscal 2026 results showed revenue up 9% year‑over‑year, non‑GAAP operating income up 36%, and an operating margin that expanded 6 percentage points to 29%. The company’s strong cash position and current ratio of 2.72 provide the flexibility to invest in technology like this integration.
Matt Karasick, LiveRamp’s Chief Product Officer, said, “By upgrading GPU‑optimized infrastructure, we’re making the highest‑performance computing and collaboration easy and accessible to our network of over 900 brands, publishers, and platforms.” CEO Scott Howe added that “AI is a tailwind for our business, since we provide critical foundational infrastructure that allows our partners to utilize AI more effectively.”
Investors reacted positively to the announcement, noting the 15‑fold speed boost and the expansion of LiveRamp’s AI ecosystem. The integration is expected to attract more AI partners, drive new revenue streams through the Marketplace, and support the company’s growth trajectory by enabling advanced AI use cases across its data collaboration network.
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