Kyle Tretina

Kyle Tretina is a product marketing leader at NVIDIA, focused on advancing AI for digital biology and drug discovery. He drives the strategy and storytelling behind BioNeMo and our work with BioPharma, shaping how next-generation foundation models and GPU-accelerated microservices transform molecular and protein design. With a PhD in molecular microbiology and immunology, Kyle bridges science and strategy, translating breakthroughs in AI, chemistry, and biology into platforms that accelerate discovery for researchers, startups, and pharmaceutical companies worldwide.
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Posts by Kyle Tretina

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Data Science Nov 05, 2025

Scale Biology Transformer Models with PyTorch and NVIDIA BioNeMo Recipes

Training models with billions or trillions of parameters demands advanced parallel computing. Researchers must decide how to combine parallelism strategies,... 7 MIN READ
Developer Tools & Techniques Nov 04, 2025

How to Predict Biomolecular Structures Using the OpenFold3 NIM

​​For decades, one of biology’s deepest mysteries was how a string of amino acids folds itself into the intricate architecture of life. Researchers built... 5 MIN READ
Data Science Oct 28, 2025

Introducing the CodonFM Open Model for RNA Design and Analysis

Open research is critical for driving innovation, and many breakthroughs in AI and science are achieved through open collaboration. In the field of digital... 10 MIN READ
Simulation / Modeling / Design Sep 10, 2025

Accelerate Protein Structure Inference Over 100x with NVIDIA RTX PRO 6000 Blackwell Server Edition

The race to understand protein structures has never been more critical. From accelerating drug discovery to preparing for future pandemics, the ability to... 6 MIN READ
Data Science Jun 12, 2025

Accelerated Sequence Alignment for Protein Science with MMseqs2-GPU and NVIDIA NIM

Protein sequence alignment—comparing protein sequences for similarities—is fundamental to modern biology and medicine. It illuminates gene functions by... 9 MIN READ
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Agentic AI / Generative AI Mar 19, 2025

Guiding Generative Molecular Design with Experimental Feedback Using Oracles

Generative chemistry with AI has the potential to revolutionize how scientists approach drug discovery and development, health, and materials science and... 9 MIN READ