Nvidia Corporation · NASDAQ:NVDA
Nvidia — J.P. Morgan Healthcare Conference 2024
22 slides from Nvidia's conference presentation, Jan 8, 2024
Slide 1: Accelerating Healthcare Innovation with AI
Accelerating Healthcare Innovation with AI Kimberly Powell, VP of Healthcare
Slide 2: Forward-looking statements disclaimer
Except for the historical information contained herein, certain matters in this presentation including, but not limited to, statements as to: the benefits, impact, and performance of our products and technologies; our strategy; our market and market opportunities; AI opening healthcare to become a t
Slide 3: A New Era of Computing
Machine Learning 600 SDK & AI Models MLPerf Fastest Perf, Largest Scale Scale Up & Out Data Center Scale 3,000 Accelerated Applications 109 A New Era 108 107 Accelerated Computing 3 Chip Systems of Computing 106 105 4.5 Million CUDA Developers Accelerated Computing 104 and Generative AI 103 102 1.1X
Slide 4: Digitize Biology
Digitize Biology Deepcell – Morpholomics REM-I Single Cell Morphology Sorting, Imaging, High-dimensional Analysis Cell Size and Shape -> Function
Slide 5: Digitizing Biology
Digitizing Biology NanoString – Mapping the Universe of Biology CosMx Spatial Multiomics Single-Cell Imaging 1.5M Cells | 6000 RNA and Protein Targets | 6TB per Sample Morphologic + Transcriptomic + Proteomic Content in Spatial Context
Slide 6: Representing Biology and Chemistry in a Computer
Representing Biology and Chemistry in a Computer Generation, Prediction, Interaction, Design ArtiDock AlphaMissense AI Discovered Antibiotics Predicting binding poses of small molecule ligands Predicting disease-causing and benign mutations Deep learning guided discovery of structural classes of in
Slide 7: Drug Discovery Is at an Inflection Point
Drug Discovery Is at an Inflection Point Computer Aided Drug Discovery is Expanding Exponentially AlphaFold AI Structure Prediction Multi-Scale Omics Multi-System Simulation Virtual Cryo-Electron Microscopy Large Scale Screening Simulation Genomics CHARMM High Throughput Screening DFT & Force Fields
Slide 8: What CAD and EDA did for Chip Design
What CAD and EDA did for Chip Design Computer-aided Design Makes Building100B Transistor Chips In Silico Possible LOGIC CIRCUIT FUNCTIONAL & FORMAL PHYSICAL EMULATION FABRICATION DESIGN DESIGN VERIFICATION DESIGN FRONT END BACK END
Slide 9: The CADD Ecosystem Can do for Drug Design
The CADD Ecosystem Can do for Drug Design Drug Discovery R&D $250B Industry DISCOVERY DEVELOPMENT TARGET HIT LEAD LEAD ANIMAL CLINICAL DISCOVERY GENERATION IDENTIFICATION OPTIMIZATION MODELS TRIALS LOGIC CIRCUIT FUNCTIONAL & FORMAL PHYSICAL EMULATION FABRICATION DESIGN DESIGN VERIFICATION DESIGN FRO
Slide 10: NVIDIA Clara
NVIDIA Clara Computer-Aided Drug Discovery Acceleration Platform DISCOVERY DEVELOPMENT TARGET HIT LEAD LEAD ANIMAL CLINICAL DISCOVERY GENERATION IDENTIFICATION OPTIMIZATION MODELS TRIALS NVIDIA CLARA PARABRICKS ISAAC HOLOSCAN BIONEMO MONAI NEMO Genomics Robotics Instruments Biomolecules Imaging Natu
Slide 11: NVIDIA BioNeMo
NVIDIA BioNeMo Build, Optimize and Deploy Foundation Models for Computer-Aided Drug Discovery Build Optimize Deploy Molecular Molecular Structure Generation Pose Prediction Prediction Pre-Trained BioNeMo DGX Protein Molecular Protein Models Framework Cloud Property Prediction Property Prediction Gen
Slide 12: NVIDIA BioNeMo
NVIDIA BioNeMo Training-as-a-service | Train Billion Parameter Models in Days vs Months Build Time to Train ESM2 30 (Days) 650M Parameter Model 20 3B Parameter Model 10 0 Pre-Trained BioNeMo DGX 512 V100s 256 A100s 512 A100s 256 H100s 512 H100s (Original training time BioNeMo BioNeMo BioNeMo BioNeMo
Slide 13: Announcing Amgen Building Generative AI Models
Announcing Amgen Building Generative AI Models in the Search for Novel Human Data Insights and for Drug Discovery Powered by — NVIDIA DGX H100 and BioNeMo
Slide 14: Announcing BioNeMo Service Now in Beta
Announcing BioNeMo Service Now in Beta Adopted by Leading CADD Partners Molecular Molecular Omics Generation & Embeddings Pose Prediction Embeddings 12 Models Deployed as Cloud APIs Optimized Runtime Dynamic Scaling Stable APIs Protein Structure Protein Enterprise Support Embeddings Prediction Gener
Slide 15: Announcing Recursion Phenom-Beta Available in BioNeMo
Announcing Recursion Phenom-Beta Available in BioNeMo Foundation Model for Target and Hit Discovery Recursion Phenom-Beta Molecular & Cell Phenomics
Slide 16: Announcing NVIDIA MolMIM Controlled Molecular Generation
f Announcing NVIDIA NC(=S)NCCN(Cc1ccc (NC(=O)c2ccccc2)cc MolMIM Controlled 1)c1ccccc1 Molecular Generation Foundation Model for Lead Optimization NVIDIA MolMIM Controlled Molecular Generation
Slide 17: NVIDIA BioNeMo Next Generation Drug Discovery Ecosystem
NVIDIA BioNeMo Next Generation Drug Discovery Ecosystem DRUG COMPANIES TECHBIO & PLATFORMS TOOLS
Slide 18: NVIDIA Healthcare Investment Strategy
Data + AI AI Design NVIDIA Healthcare Investment Strategy Use, Enhance, Expand NVIDIA’s Platform AI + Physics
Slide 19: NVIDIA Healthcare 2023 Milestones
NVIDIA Healthcare 2023 Milestones Adopt NVIDIA BioNeMo & DGX Cloud Adopt NVIDIA Holoscan Strategic AI Research Collaboration Generative AI to design and predict properties Building AI platform for medical devices and Medtronic’s Accelerate generative AI models and algorithms into of proteins, accele
Slide 20: AI Opens Healthcare To Become a Technology Industry
AI Opens Healthcare To Become a Technology Industry Healthcare Partners & Customers Consume >$1B in NVIDIA GPU Computing Annually ― Directly & Indirectly 10’s of Billion-$ Wearables NVIDIA CLARA Billions of devices connected to AI supercomputers, making predictions PARABRICKS BIONEMO MONAI HOLOSCAN
Slide 21: NVIDIA Generative AI
• AN INFLECTION POINT Represent world of drugs in a computer NVIDIA Generative AI Is Opening the Next Era of Drug • NEXT GENERATION OF CADD EMERGES Discovery and Design Platforms and techbios powerd by NVIDIA BioNeMo • OUR INVESTMENTS ARE PAYING OFF Generative AI and NVIDIA Clara
Slide 22: nVIDIA st”
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