NVIDIA

Applied Intuition partners with NVIDIA to accelerate L2+ autonomous driving system development and deployment for automotive manufacturers.

Applied Intuition Partners with NVIDIA to Accelerate Autonomous Driving Technology Deployment

Applied Intuition announced a collaboration with NVIDIA to accelerate the development and deployment of L2+ autonomous driving systems for global automotive manufacturers. This partnership designates Applied Intuition as a recommended software provider for OEMs developing L2+ highway driving capabilities optimized for NVIDIA hardware. The collaboration aims to provide a clear path to commercialization for OEMs building L2+ systems, leveraging NVIDIA's platform for scalable autonomous driving solutions. The announcement was made at the NVIDIA GTC event, highlighting Applied Intuition's role as a leader in Physical AI.

Viatris partners with NVIDIA to accelerate AI-driven drug discovery by optimizing the Proteina Complexa model for designing novel therapeutics targeting muscle atrophy.

Viatris and NVIDIA Partner to Accelerate AI-Driven Drug Discovery

Viatris (01873.HK) has partnered with NVIDIA to optimize the Proteina Complexa model and advance the design of mini-binders targeting ActRIIA, a key protein in muscle atrophy and lean body mass imbalance. The collaboration aims to accelerate the discovery of novel therapeutics by leveraging NVIDIA's technology for AI-driven design. This initiative highlights Viatris's 'wet-dry closed-loop' R&D process, integrating computational design with high-throughput protein production and biophysical evaluation. Viatris utilized its AI technology for sequence screening and provided feedback to refine the Proteina Complexa model, significantly improving the efficiency and targeting of mini-binder design. This approach explores novel chemical spaces, enhances design specificity, and reduces costs and timelines compared to traditional methods. Viatris, a global CRO focused on AI-driven and structure-based drug discovery, aims to further strengthen AI algorithm development and platform utilization in drug discovery and development.

Applied Intuition partners with NVIDIA to accelerate autonomous driving technology commercialization and adoption for OEMs using NVIDIA platforms.

Applied Intuition Partners with NVIDIA to Accelerate Autonomous Driving Technology

Applied Intuition, Inc. has partnered with NVIDIA to accelerate the commercialization and widespread adoption of autonomous driving technology. This collaboration aims to enable Original Equipment Manufacturers (OEMs) to bring scalable L2+ autonomous driving systems, optimized for NVIDIA platforms, to market. The partnership signifies a move towards more accessible and advanced self-driving solutions, leveraging NVIDIA's powerful computing infrastructure and Applied Intuition's expertise in simulation and validation for autonomous systems. This initiative is expected to streamline the development and deployment process for autonomous vehicles, potentially leading to faster market entry for new features and enhanced safety standards.

NVIDIA announced RTX PCs and DGX systems will power local 'agent computers' running generative AI, enabling on-device processing and democratizing AI capabilities.

NVIDIA RTX PCs and DGX Power Local Open Models and AI Agents at GTC 2026

At GTC 2026, NVIDIA highlighted the emergence of 'agent computers' powered by generative AI, such as OpenClaw, running locally on NVIDIA RTX PCs and DGX systems. This shift redefines personal computing by enabling devices to act as intelligent agents, processing complex AI tasks locally. This move democratizes advanced AI capabilities, making them accessible on consumer and professional hardware.

NVIDIA CloudXR 6.0 integrates natively into Apple visionOS, enabling RTX-powered 3D graphics and simulators for Apple Vision Pro.

NVIDIA RTX PCs Connect Directly to Apple Vision Pro for Immersive Experiences

NVIDIA and Apple have integrated NVIDIA CloudXR 6.0 natively into visionOS, enabling secure delivery of NVIDIA RTX-powered simulators and professional 3D graphics applications to Apple Vision Pro. This collaboration allows for enhanced immersive experiences in fields like automotive design and industrial training, leveraging the power of RTX GPUs for complex visualizations directly on the spatial computing device.

NVIDIA partners with telecom leaders to develop AI grids, optimizing distributed AI inference and leveraging network infrastructure for edge AI deployment.

NVIDIA and Telecom Leaders Develop AI Grids for Distributed Inference

NVIDIA, alongside leading U.S. and Asian telecom operators, is developing AI grids to optimize AI inference on distributed networks. This initiative addresses the growing need for AI-native applications to scale across more users, agents, and devices, positioning the telecommunications network as a crucial frontier for AI deployment. The focus is on enabling efficient AI processing closer to the edge.

NVIDIA partners with global robotics leaders and launches new Isaac simulation frameworks to accelerate production-scale physical AI development and deployment.

NVIDIA Partners with Global Robotics Leaders for Production-Scale Physical AI

NVIDIA is collaborating with a global ecosystem of robotics leaders, including robot brain developers, industrial robot manufacturers, and humanoid pioneers, to advance production-scale physical AI. The company also unveiled new NVIDIA Isaac simulation frameworks designed to accelerate the development and deployment of AI-powered robots for real-world applications. This initiative aims to bring AI capabilities to physical systems at an industrial level.

NVIDIA unveils Physical AI Data Factory Blueprint, an open architecture to automate and streamline AI training data generation for robotics and autonomous systems.

NVIDIA Unveils Physical AI Data Factory Blueprint for Robotics

NVIDIA announced the NVIDIA Physical AI Data Factory Blueprint, an open reference architecture designed to unify and automate the generation, augmentation, and evaluation of training data. This blueprint aims to significantly reduce the cost, time, and complexity involved in training physical AI models for robotics, vision AI agents, and autonomous vehicles.