GTC 2026: NVIDIA BioNeMo Platform Unlocks Breakthrough Datasets to Advance Genomic Therapies and Virtual Cell Models

Breakthrough therapies, including gene editing, immunotherapy, and RNA-based drugs, all require rapid, large-scale genomic analysis. Integrating massive volumes of genomic and single-cell data is critical for target discovery and the design of safer interventions, whereas traditional workflows often extend research timelines to months or even years.

NVIDIA BioNeMoThe platform comprises GPU-accelerated tools, frameworks, and AI models, including NVIDIA Parabricks and the NVIDIA CUDA-X Data Science (DS) libraries, which significantly accelerate genomics workflows.

At the GTC Conference,NVIDIA It highlights a cohort of emerging medical and life sciences enterprises that are leveraging BioNeMo for data processing and model development to unlock novel therapeutic breakthroughs.

Decoding Neural Circuits: Whole-Brain-Scale Visualization of Genome-Wide CRISPR Perturbations

Image provided by PerturbAI

• Basecamp ResearchIn collaboration with Ultima Genomics, PacBio, and others, and leveraging NVIDIA AI infrastructure, we have launched the Trillion Gene Atlas (TGA)—a biological data acquisition initiative aimed at increasing human understanding of genetic diversity by a hundredfold.

• Tahoe TherapeuticsWe have constructed Tahoe-100M, the world’s largest single-cell dataset from a single source, to develop a new architecture for virtual cell models. The training pipeline for Tahoe-100M runs entirely on NVIDIA Hopper GPUs and leverages the NVIDIA cuVS library. The Tahoe initiative aims to scale to the billion-cell level by operating on NVIDIA DGX systems and integrating the RAPIDS-singlecell framework developed by scverse.

• PerturbAI and NVIDIAIn collaboration with the Biological Foundation Model Research Team, we have released the world’s largest in vivo CRISPR functional genomics atlas—a dataset encompassing nearly 8 million whole-brain cells—constructing one of the most extensive maps of causal gene-function relationships in living tissues to date. The company is leveraging NVIDIA CUDA-X DS to deeply explore novel biological mechanisms underlying neurodegenerative diseases, psychiatric disorders, and metabolic diseases.

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