Physical AI
As organizations transition from AI pilots to massive production environments, NVIDIA is shifting the focus from hardware specs to 'cost per token.' This evolution emphasizes continuous AI factories that generate language and vision data at scale.
Physical AI
Anthropic’s Claude models are now generally available on NVIDIA’s GB300 Blackwell Ultra GPUs via Microsoft Azure, enabling high-speed LLM reasoning for enterprise-scale physical operations.
Physical AI
Decart has unveiled Oasis 3, a real-time world model capable of simulating photorealistic driving environments. This breakthrough allows developers to test autonomous systems in high-fidelity virtual worlds that react dynamically to AI inputs.
ADAS
The software-defined vehicle doesn’t die in the lab. It dies in the spreadsheet — the moment a CFO turns the sensing-and-compute stack into an upsell. We keep debating the software-defined vehicle as a software problem. Zonal architecture. A unified vehicle OS. Secure OTA. Containerised middleware. All
Physical AI
Decart has unveiled Oasis 3, a real-time world model capable of simulating photorealistic driving environments. This breakthrough represents a shift toward generative AI replacing traditional physics engines for training autonomous systems.
Physical AI
Decart has launched Oasis 3, a real-time world model that generates photorealistic, interactive driving environments. This breakthrough allows developers to simulate hours of complex driving scenarios at high fidelity, bridging the gap between digital training and physical reality.
Physical AI
A new paradigm in 'Continuous Physics Reasoning' aims to provide AI systems with a deterministic understanding of physical structures, moving beyond simple pattern matching to solver-grade precision.
Physical AI
NVIDIA is deploying generative AI agents to revolutionize telecom operations, moving beyond simple task automation to 24/7 autonomous network management and customer care. These 'agentic' systems are designed to handle complex back-office logic and real-time troubleshooting for global operators.
Physical AI
A new 'world model' named Oasis 3 is capable of generating photorealistic driving environments in real-time. This AI breakthrough allows developers to simulate complex, hours-long driving scenarios to train autonomous systems without real-world risks.
Physical AI
NVIDIA XR AI has entered public beta, offering a comprehensive framework for developers to create multimodal AI agents for AR and XR devices. This technology enables hands-free interaction, allowing digital agents to perceive the physical world and assist users in real-time.
Physical AI
The line between digital intent and physical action is blurring as NVIDIA launches a public beta for its XR AI framework. This technology allows developers to build multimodal AI agents that live within AR glasses, enabling hands-free, real-time interaction with the physical world.
Physical AI
NVIDIA has launched its XR AI framework in public beta, enabling developers to integrate multimodal AI agents into AR glasses. This move signifies a shift toward spatial computing where AI 'sees' and 'interacts' with the physical world in real-time.