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NVIDIA Powers AI Marketing Solutions at Cannes Lions

At Cannes Lions, NVIDIA technologies enable AI-driven marketing solutions, with Alembic using DGX Vera Rubin systems for enterprise-scale causal modeling.

Image: NVIDIA

NVIDIA is showcasing how its AI technologies are transforming the advertising and marketing industry at Cannes Lions, where industry leaders are demonstrating how AI can unlock greater creativity and enable faster, autonomous operations at enterprise scale. Companies like Alembic, Criteo, and Taboola are leveraging NVIDIA’s infrastructure to enhance their AI capabilities, supporting everything from causal modeling to real-time ad bidding. These advancements are designed to meet the growing demand for scalable, high-performance AI solutions in the marketing sector. Source: nvidia

Alembic, a causal AI platform, is using NVIDIA DGX Vera Rubin NVL72 systems to scale its models and analyze more variables, running larger simulations to quantify the true drivers of growth across marketing investments. The company will be the first to use NVIDIA DGX Vera Rubin SuperPODs for enterprise-scale causal modeling, providing executives with a single source of unbiased truth on business outcomes and capital allocation. Alembic’s inference runs on private supercomputing infrastructure within Equinix data centers, keeping AI workloads local and secure. Source: nvidia

Criteo is using NVIDIA Blackwell GPUs and the NVIDIA cuEmbed open library to achieve a 2x speedup in model training, freeing up approximately 17,000 GPU hours annually. This efficiency allows the company to continuously retrain its AI on billions of shopper timelines, ensuring recommendations remain relevant. Taboola is also applying NVIDIA’s infrastructure to conversational AI, using GPUs to power its DeeperDive AI answer engine and extending the infrastructure to AI platforms and chatbots for revenue generation from advertising. Source: nvidia

Key points

Alembic uses NVIDIA DGX Vera Rubin NVL72 systems to scale its Causal AI models for enterprise-scale causal modeling.
Criteo achieved a 2x speedup in model training using NVIDIA Blackwell GPUs and the NVIDIA cuEmbed open library.
NVIDIA DGX B200 systems are used by PYLER, which adopted the Nemotron 3 Nano Omni open model on MediaPerf.
KERV.ai optimized its processing pipeline, achieving over 10x improvements in speed and efficiency using the Nemotron 3 Nano Omni open model.
NVIDIA Nemotron 3 Nano Omni delivered the highest throughput and lowest inference cost on MediaPerf, an open benchmark for AI video understanding.
Higgsfield AI uses NVIDIA Agent Toolkit software, including NVIDIA Nemotron open models, to power specialized subagents within its Supercomputer.

Source: NVIDIA Read the original →

WRITTEN BY

Marcus Feld

AI Business & Markets

Marcus reports on AI funding, acquisitions, partnerships, and the business behind the technology.