Posts by Kyle Tretina
Simulation / Modeling / Design
Sep 24, 2026
Efficient MoE Training for Biological Foundation Models
As language models grow, scaling dense architectures becomes increasingly expensive. In a dense transformer, every token passes through every layer, so adding...
7 MIN READ
Simulation / Modeling / Design
Sep 10, 2026
High-Throughput Structure Prediction with BioNeMo Inference Runtime
Biomolecular structure prediction is now often run at proteome scale, where the goal is to move an entire worklist through the pipeline efficiently. NVIDIA...
11 MIN READ
Agentic AI / Generative AI
Aug 31, 2026
Run NVIDIA BioNeMo NIM Microservices for Protein Structure Prediction in Claude Science
Agentic AI is changing how research is done. AI scientists can read papers, propose hypotheses, call models, and determine which experiments to prioritize next....
12 MIN READ
Simulation / Modeling / Design
Jul 10, 2026
Accelerating End-to-End Co-Folding Performance with NVIDIA BioNeMo Agent Toolkit
Biomolecular structure prediction and co-folding with models like OpenFold3 are now mainstream, large-scale workloads powering drug discovery and protein...
9 MIN READ
Simulation / Modeling / Design
Jun 23, 2026
Build an AI Scientist for Life Science Discovery with NVIDIA BioNeMo Agent Toolkit
AI scientists are emerging as a new interface for scientific computing. These agents can read papers, write code, generate hypotheses, call APIs, inspect files,...
9 MIN READ
Simulation / Modeling / Design
Jun 16, 2026
How to Optimize Transformer-Based Models for Low-Precision Training
Transformer architectures are the backbone of many modern large language and generative AI models. As these models grow in size, training runs consume more GPU...
9 MIN READ