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Guiding Generative Molecular Design with Experimental Feedback Using Oracles

An illustration of molecules.Generative chemistry with AI has the potential to revolutionize how scientists approach drug discovery and development, health, and materials science and…An illustration of molecules.

Generative chemistry with AI has the potential to revolutionize how scientists approach drug discovery and development, health, and materials science and engineering. Instead of manually designing molecules with “chemical intuition” or screening millions of existing chemicals, researchers can train neural networks to propose novel molecular structures tailored to the desired properties.

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Shrink Genomics and Single-Cell Analysis Time to Minutes with NVIDIA Parabricks and NVIDIA AI Blueprints

A germline illustration.NVIDIA Parabricks is a scalable genomics analysis software suite that solves omics challenges with accelerated computing and deep learning to unlock new…A germline illustration.

NVIDIA Parabricks is a scalable genomics analysis software suite that solves omics challenges with accelerated computing and deep learning to unlock new scientific breakthroughs. Released at NVIDIA GTC 2025, NVIDIA Parabricks v4.5 supports the growing quantity of data by including support for the latest NVIDIA GPU architectures, and improved alignment and variant calling with the…

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NVIDIA’s GTC 2025 Announcement for Physical AI Developers: New Open Models and Datasets

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Measure and Improve AI Workload Performance with NVIDIA DGX Cloud Benchmarking

As AI capabilities advance, understanding the impact of hardware and software infrastructure choices on workload performance is crucial for both technical…

As AI capabilities advance, understanding the impact of hardware and software infrastructure choices on workload performance is crucial for both technical validation and business planning. Organizations need a better way to assess real-world, end-to-end AI workload performance and the total cost of ownership rather than just comparing raw FLOPs or hourly cost per GPU.

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Seamlessly Scale AI Across Cloud Environments with NVIDIA DGX Cloud Serverless Inference

NVIDIA DGX Cloud Serverless Inference is an auto-scaling AI inference solution that enables application deployment with speed and reliability. Powered by NVIDIA…

NVIDIA DGX Cloud Serverless Inference is an auto-scaling AI inference solution that enables application deployment with speed and reliability. Powered by NVIDIA Cloud Functions (NVCF), DGX Cloud Serverless Inference abstracts multi-cluster infrastructure setups across multi-cloud and on-premises environments for GPU-accelerated workloads. Whether managing AI workloads…

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Oracle and NVIDIA Collaborate to Help Enterprises Accelerate Agentic AI Inference

Oracle and NVIDIA today announced a first-of-its-kind integration between NVIDIA accelerated computing and inference software with Oracle’s AI infrastructure, and generative AI services, to help organizations globally speed creation of agentic AI applications.

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Accelerating AI Development With NVIDIA RTX PRO Blackwell Series GPUs and NVIDIA NIM Microservices for RTX

As generative AI capabilities expand, NVIDIA is equipping developers with the tools to seamlessly integrate AI into creative projects, applications and games to unlock groundbreaking experiences on NVIDIA RTX AI PCs and workstations. At the NVIDIA GTC global AI conference this week, NVIDIA introduced the NVIDIA RTX PRO Blackwell series, a new generation of workstation
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Introducing NVIDIA Isaac for Healthcare, an AI-Powered Medical Robotics Development Platform

A patient laying on a doctor's table with a robotic arm examining them.The future of MedTech is robotic—hospitals will be fully automated, with AI-driven surgical systems, robotic assistants, and autonomous patient care…A patient laying on a doctor's table with a robotic arm examining them.

The future of MedTech is robotic—hospitals will be fully automated, with AI-driven surgical systems, robotic assistants, and autonomous patient care transforming healthcare as we know it. Building AI-driven robotic systems poses several key challenges. Integrating data collection with expert insights is one. Creating detailed biomechanical simulations for realistic anatomy, sensors…

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Driving Impact: NVIDIA Expands Automotive Ecosystem to Bring Physical AI to the Streets

The autonomous vehicle (AV) revolution is here — and NVIDIA is at its forefront, bringing more than two decades of automotive computing, software and safety expertise to power innovation from the cloud to the car. At NVIDIA GTC, a global AI conference taking place this week in San Jose, California, dozens of transportation leaders are
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Enterprises Ignite Big Savings With NVIDIA-Accelerated Apache Spark

Tens of thousands of companies worldwide rely on Apache Spark to crunch massive datasets to support critical operations, as well as predict trends, customer behavior, business performance and more. The faster a company can process and understand its data, the more it stands to make and save. That’s why companies with massive datasets — including
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