How NVIDIA Uses Gemini

Long-running AI agents spend most of their time on high-volume execution: tool calls, result validation, and subagent delegation. Using a frontier reasoning…

Autonomous vehicle (AV) development often relies on separate models for trajectory generation, high-level intent prediction, scene understanding…

NVIDIA Ising Calibration is an open source vision language model (VLM) designed to interpret diagnostic outputs from quantum processors and determine how they…

What if autonomous coding AI agents could push your vision reasoning models above 90% accuracy with almost no manual effort? When adapting vision reasoning…

AI agents are a powerful tool for synthesizing data to accelerate research, summarize information, and help teams make decisions faster.

In March 2026, three LLM agents generated over 600,000 lines of code, ran 850 experiments, and helped secure a first-place finish in a Kaggle playground…

NVIDIA Ising is the world’s first family of open AI models for building quantum processors, launching with two model domains: Ising Calibration and Ising…

This article discusses the process of scaling LangGraph agents in production, specifically focusing on the deployment of an AI-Q research agent.

The article introduces the NVIDIA Jetson Thor, a powerful platform designed for physical AI and humanoid robotics.

The article discusses the evolving landscape of AI security, focusing on how hackers exploit the problem-solving instincts of multimodal AI systems through cognitive challenges.

The article discusses the emerging threat of semantic prompt injections in multimodal AI systems, highlighting how adversaries can exploit visual inputs to bypass traditional security measures.

The article discusses the latest enhancements in RAPIDS, including zero-code-change acceleration for Python machine learning, significant IO performance improvements, and out-of-core XGBoost capabi...

The article discusses the transformative role of domain-adapted large language models (LLMs) with reasoning capabilities in accelerating battery research.

ComputeEval is an open-source framework designed to evaluate Large Language Models (LLMs) on CUDA code generation, focusing on high-performance GPU programming.

Writer has launched two domain-specific AI models, Palmyra-Med 70B and Palmyra-Fin 70B, enhancing NVIDIA NIM's capabilities in healthcare and finance.

The article discusses the new functionalities of NVIDIA Megatron-Core, an open-source library designed to enhance the efficiency of training generative AI models.

The article discusses the advancements in robotics applications using NVIDIA's Isaac Foundation Models and workflows, focusing on how AI enhances robotic capabilities in various sectors.

The article discusses Firebase Genkit, an open-source framework introduced at Google I/O 2024, designed for developers to integrate generative AI into web and mobile applications using models like ...

NVIDIA collaborates with Google to enhance inference performance for the Gemma models using TensorRT-LLM, facilitating easier development with large language models (LLMs) on NVIDIA RTX GPUs.

The article discusses the development of an active digital twin framework called Project Gemini by The Acceleration Agency, utilizing NVIDIA Omniverse and Universal Scene Description (USD) for real...

The article discusses the optimization of the High Performance Conjugate Gradient Benchmark (HPCG) on GPU-accelerated clusters, highlighting the challenges and strategies for achieving high perform...