One of the world’s largest AI communities — comprising 4 million developers on the Hugging Face platform — is gaining easy access to NVIDIA-accelerated inference on some of the most popular AI models. New inference-as-a-service capabilities will enable developers to rapidly deploy leading large language models such as the Llama 3 family and Mistral AI
Read Article
Month: July 2024
The world’s brands and agencies are using generative AI to create advertising and marketing content, but it doesn’t always provide the desired outputs. NVIDIA offers a comprehensive set of technologies — bringing together generative AI, NVIDIA NIM microservices, NVIDIA Omniverse and Universal Scene Description (OpenUSD) — to allow developers to build applications and workflows that
Read Article
NVIDIA announced at SIGGRAPH fVDB, a new deep-learning framework for generating AI-ready virtual representations of the real world. fVDB is built on top of OpenVDB, the industry-standard library for simulating and rendering sparse volumetric data such as water, fire, smoke and clouds. Generative physical AI, such as autonomous vehicles and robots that inhabit the real
Read Article
Generative physical AI models can understand and execute actions with fine or gross motor skills within the physical world. Understanding and navigating in the…
Generative physical AI models can understand and execute actions with fine or gross motor skills within the physical world. Understanding and navigating in the 3D space of the physical world requires spatial intelligence. To achieve spatial intelligence in physical AI involves converting the real world into AI-ready virtual representations that the model can understand.
Robots need to be adaptable, readily learning new skills and adjusting to their surroundings. Yet traditional training methods can limit a robot’s ability to…
Robots need to be adaptable, readily learning new skills and adjusting to their surroundings. Yet traditional training methods can limit a robot’s ability to apply learned skills in new situations. This is often due to the gap between perception and action, as well as the challenges in transferring skills across different contexts. NVIDIA Isaac Lab is an open-source modular framework for…
Training physical AI models used to power autonomous machines, such as robots and autonomous vehicles, requires huge amounts of data. Acquiring large sets of…
Training physical AI models used to power autonomous machines, such as robots and autonomous vehicles, requires huge amounts of data. Acquiring large sets of diverse training data can be difficult, time-consuming, and expensive. Data is often limited due to privacy restrictions or concerns, or simply may not exist for novel use cases. In addition, the available data may not apply to the full range…
NVIDIA announced new USD-based generative AI and NVIDIA-accelerated development tools built on NVIDIA Omniverse at SIGGRAPH 2024. These advancements will expand…
NVIDIA announced new USD-based generative AI and NVIDIA-accelerated development tools built on NVIDIA Omniverse at SIGGRAPH 2024. These advancements will expand adoption of Universal Scene Description (OpenUSD) to robotics, industrial design, and engineering, so developers can quickly build highly accurate virtual worlds for the next evolution of AI. OpenUSD is an open-source framework and…
At SIGGRAPH 2024 this week, NVIDIA is showcasing the latest advancements in the NVIDIA Maxine AI developer platform, available through NVIDIA AI…
At SIGGRAPH 2024 this week, NVIDIA is showcasing the latest advancements in the NVIDIA Maxine AI developer platform, available through NVIDIA AI Enterprise. This platform empowers you to deploy cutting-edge AI features that enhance audio and video quality and enable augmented reality effects. NVIDIA just announced the upcoming availability of Maxine 3D and Maxine Video Relighting for early…
Traditional video analytics applications and their development workflow are typically built on fixed-function, limited models that are designed to detect and…
Traditional video analytics applications and their development workflow are typically built on fixed-function, limited models that are designed to detect and identify only a select set of predefined objects. With generative AI, NVIDIA NIM microservices, and foundation models, you can now build applications with fewer models that have broad perception and rich contextual understanding.
The ability to use simple APIs to integrate pretrained AI foundation models into products and experiences has significantly increased developer usage of LLM…
The ability to use simple APIs to integrate pretrained AI foundation models into products and experiences has significantly increased developer usage of LLM endpoints and application development frameworks. NVIDIA NIM enables developers and engineering teams to rapidly deploy their own AI model endpoints for the secure development of accelerated generative AI applications using popular development…