Verily has announced a strategic collaboration with NVIDIA to integrate NVIDIA’s full AI-software and accelerated-computing stack into Verily’s “Pre” platform, dramatically speeding up genomics, multimodal-health-data analysis and AI model development for health systems, life-science firms and government researchers.
Glimpse:
The integration gives Verily users access to NVIDIA libraries such as NeMo and Parabricks, and GPUs including the Blackwell and Hopper lines, within its research environment. This accelerates workflows that previously took hours down to minutes, supporting large-scale biomedical datasets like the NIH All of Us Research Program.
Verily, a precision-health subsidiary of Alphabet, and NVIDIA have initiated a major collaboration aimed at transforming the infrastructure for AI-driven biomedical research and care.
Under the partnership, Verily’s Pre platform designed for harmonising, analysing and deploying multimodal health data is being enhanced with NVIDIA’s AI tools. These include GPU-accelerated libraries and frameworks such as NVIDIA NeMo (for foundation models), NVIDIA Parabricks (for genomics pipelines), and NVIDIA CUDA-X Data Science; coupled with high-end GPUs like NVIDIA Blackwell and Hopper. According to Verily, this integration has reduced genomic-analysis runtimes from hours to minutes when leveraging Parabricks and B200 hardware.
A key application area is the NIH All of Us Researcher Workbench, which supports nearly 20,000 registered researchers worldwide and hosts one of the largest genomics datasets. Verily’s Pre platform now powers this workbench through the partnership with Vanderbilt University Medical Center, helping accelerate large-scale analysis and model training.
Beyond genomics, the collaboration will extend to other modules of Pre such as Refinery (for data curation and enrichment) and Exchange (for sharing AI-ready datasets, models and agents). By embedding the full NVIDIA AI stack into its workflow, Verily aims to enable health systems, payers and life-science organisations to deploy AI at scale thus advancing precision medicine, earlier disease prediction and more personalised interventions.
“With NVIDIA’s cutting-edge AI capabilities now available in our Pre platform, we are providing researchers with unparalleled tools to enhance the speed and efficiency of AI model development and omics analysis.”
By
HB Team
