✨Your front-row seat to our #BIO2026 special address @kpowgerade introduced BioNeMo Agent Toolkit and sat down with @sajithw (@benchling), Josh (@chaidiscovery) , and @andrewwhite01 (@EdisonSci) on how AI agents are reshaping biotech R&D and lab workflows. ▶️ nvda.ws/3Tfc4l7

🦅 American innovation is paving the way for a healthier nation. Homegrown AI companies like @AbridgeHQ and @aidocmed are transforming our healthcare system so clinicians can focus on what matters most: patient care. 📝 Abridge is tackling burnout by deploying a purpose-built foundation model across 300 U.S. health systems, processing over 2.5 million clinical conversations weekly to eliminate after-hours paperwork. 🩻 Aidoc’s aiOS platform has analyzed over 50 million patient scans in the U.S. alone, drafting preliminary reports to help radiology teams manage rising demands. Equipping our doctors with the best tools available helps them provide a healthier future for every patient.

NVIDIA BioNeMo Agent Toolkit is now integrated with Anthropic’s Claude Science. Life sciences organizations increasingly need AI that goes beyond chat — agents that can reason over scientific questions and act on them using real computational tools. NVIDIA BioNeMo Agent Toolkit gives Claude the domain-specific scientific context to select the right tool, prepare valid inputs, execute workflows and interpret results. blogs.nvidia.com/blog/claude…

(2/2) Try Litmus Bench 👇 huggingface.co/datasets/nvid…

🧠 Most LLMs can recall chemistry facts. Few can reason about the science. ⚠️ The problem: Most chemistry benchmarks are multiple-choice, and up to 1 in 5 answers are wrong. High scores often don’t reflect true understanding. ✅ The solution: Litmus Bench fixes this with exact question-answer pairs grounded in verified chemistry data. 🔓 Now open-source with a NeMo Gym environment, Litmus Bench is the chemistry boost used by Nemotron 3 Ultra and is ready to add to your training and evaluation stack. Let's build models that think in molecules. (1/2)

The future of bio is powered by faster data Introducing the Medra AI Experimentalist: an agent that turns goals into experimental designs, learns from every result, and develops the next assay Excited to collaborate with @DARPA and @NVIDIAHealth on the future of science

🧪 @EliLillyandCo's new AI factory is accelerating drug discovery and reshaping how scientists work. Powered by #NVIDIADGX SuperPOD with DGX B300 systems, LillyPod is turning drug discovery into an always‑on AI engine—running longer, more complex workflows. ✅ Billions of research hypotheses evaluated in parallel ✅ Running open models with no token or budget limits ✅ Deploying Nemotron 3 Ultra on-prem, optimized for NVIDIA Blackwell Ultra GPUs at FP4 ✅ Training foundational models from chemistry and biology to clinical and manufacturing Read @RandDWorld's article on LillyPod ⤵️ rdworldonline.com/six-months…

At #BIO2026, NVIDIA’s Kimberly Powell joined @genentech CEO Ashley Magargee and @katiecouric to discuss AI’s role in medicine. Secure, scalable AI infrastructure is becoming critical to the next era of discovery.

Walk the #BIO2026 show floor with Kimberly Powell, NVIDIA VP of Healthcare, as she shares what’s exciting about the latest BioNeMo toolkit announcement. BioNeMo is helping bring AI-driven biology and drug discovery closer to the next experiment, with tools for researchers and developers to build, customize and deploy AI applications across the life sciences ecosystem.

Phylo is bringing the @NVIDIAHealth BioNeMo ecosystem into Biomni Lab. Biomni can now use a growing set of NIM tools and datasets in natural-language scientific workflows, including: Evo 2, GenMol, MolMIM, MSA Search, OpenFold 3, the AlphaFold Database API, and more! 👉 Try it today at biomni.phylo.bio 🍵 Read the blog: phylo.bio/blog/bionemo

Excited to be a day 0 launch partner for BioNeMo, NVIDIA's new, fully-open agent toolkit for scientific workflows! All 10 BioNeMo NIMs are available in our model library. Learn more in our announcement: baseten.co/blog/nvidia-bione…

From machine learning algorithms to AI agents. #BionemoEraTour

Cadence is extending its collaboration with @NVIDIA to bring the BioNeMo Agent Toolkit into the Orion Agentic AI roadmap. Turning fragmented workflows into coordinated, AI-driven scientific collaboration. Read more: ow.ly/9Aeo50Zfhiv

Built on more than a decade of NVIDIA life sciences libraries and models, BioNeMo Agent Toolkit has tools and skills for agentic software throughout the full drug discovery stack: from early biology to molecular design to translational science. Read the details nvda.ws/4vtsoxd Try it today github.com/NVIDIA-BioNeMo/bi… (2/2)

Science is entering a new era - one where AI agents can do scientific work. 🧬 Today NVIDIA is launching the BioNeMo Agent Toolkit - an open, agent-ready toolkit that gives any AI agent callable tools for protein structure prediction, molecular docking, generative chemistry, genomic analysis, and more. (1/2)

(3/3) Read the full tech blog ➡️ nvda.ws/4vl8x3a

(2/3) Takeaways to optimize your workflows 👇 - Large matrix operations benefit the most, while small ones lose time to conversion overhead - Realistic benchmarks show actual training speeds, whereas best-case tests only reveal raw math limits - Ultra-low precision requires extra stabilization work, so always judge performance by your full workflow

(1/3) 🤔 Want to know exactly which GEMMs your transformer is running and where BF16, MXFP8, and NVFP4 actually deliver speedups? Precision scaling is reshaping how researchers train large biological foundation models, but real-world gains depend on the model. Explore how GEneral Matrix-matrix Multiplication shapes influence performance, helping you profile and optimize AI workloads for drug discovery.

(2/2) The same workflow delivers across biology tasks: 🔬 ESM2 → Protein secondary structure prediction 🧪 Evo2 → DNA splice-site classification accuracy jumps dramatically LoRA Transformer Engine sequence packing - no cluster needed. Full technical blog ⬇️ nvda.ws/4fNxKy9