Leverage AI models to improve embedded software for automotive applications, boosting efficiency and accelerating deployment.
End-to-end autonomous driving stack integrating perception, prediction, and planning with sparse scene representations for efficiency and safety.
Leverage advanced AI models to streamline automotive software development and optimize cloud deployment.
Generates physics-aware video world states for physical AI development using text prompts and multiple spatial control inputs derived from real-world data or simulation.
Generalist model to generate future world state as videos from text and image prompts to create synthetic training data for robots and autonomous vehicles.
Generates future frames of a physics-aware world state based on simply an image or short video prompt for physical AI development.
Advanced LLM for reasoning, math, general knowledge, and function calling
Advanced LLM for synthetic data generation, distillation, and inference for chatbots, coding, and domain-specific tasks.
Chinese and English LLM targeting for language, coding, mathematics, reasoning, etc.
State-of-the-art, high-efficiency LLM excelling in reasoning, math, and coding.
Comprehensive reference workflows that accelerate automotive software development with NVIDIA acceleration libraries, APIs, NIM, and microservices.
Create intelligent, interactive avatars for customer service across industries
Connect AI applications to multimodal enterprise data with a scalable retrieval augmented generation (RAG) pipeline built on highly performant, industry-leading NIM microservices, for faster PDF data extraction and more accurate information retrieval.
