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October 29
- Lilly Deploys World’s Largest, Most Powerful AI Factory for Drug Discovery Using NVIDIA Blackwell-Based DGX SuperPOD
➀ Lilly has deployed the world's largest AI factory for drug discovery, using NVIDIA's Blackwell Ultra GPUs and DGX SuperPOD technology;
➁ The AI factory is expected to accelerate drug discovery timelines and enable breakthroughs in genomics, personalized medicine, and molecular design;
➂ Lilly TuneLab, an AI and machine learning platform, will provide access to drug discovery models based on Lilly's proprietary data;
➃ The AI factory will enhance Lilly's capacity to manufacture high-demand medications and strengthen supply chain reliability;
➄ Lilly is ranked the No. 1 most AI-ready pharma company by CB Insights.
- NVIDIA Contributes to Open Frameworks for Next-Generation Robotics Development
➀ NVIDIA announced contributions to the ROS 2 robotics framework and the Open Source Robotics Alliance’s Physical AI Special Interest Group at ROSCon.
➁ NVIDIA is contributing GPU-aware abstractions directly to ROS 2 for high-performance robotic applications.
➂ NVIDIA is open-sourcing Greenwave Monitor, a tool for identifying performance bottlenecks in robot development.
➃ NVIDIA Isaac ROS 4.0, with GPU-accelerated libraries and AI models, is now available on the NVIDIA Jetson Thor platform.
October 9
- TSMC and NVIDIA Transform Semiconductor Manufacturing With Accelerated Computing➀ TSMC is adopting NVIDIA's cuLitho computational lithography platform for production; ➁ The platform accelerates chip manufacturing and pushes the limits of physics for advanced semiconductor chips; ➂ cuLitho utilizes NVIDIA H100 GPUs to replace thousands of CPUs, reducing costs and power consumption; ➃ NVIDIA's generative AI algorithms enhance cuLitho, offering additional speedup; ➄ The technology enables more accurate simulation of physics and realization of mathematical techniques previously resource-intensive.
August 27
- NVIDIA Launches Array of New CUDA Libraries for Accelerated Computing➀ Introduces new CUDA libraries for accelerated computing, offering order-of-magnitude speedups and reduced energy consumption. ➁ Includes libraries for LLM applications, data processing, and physical AI simulations. ➂ Highlights real-world examples of energy-efficient and high-speed computing in industries like recycling and video conferencing.