Summary NVIDIA has introduced its AI Red Team, a cross-functional team dedicated to identifying and mitigating risks associated with machine learning (ML) systems from an information security perspective. This team uses a comprehensive framework to assess ML systems, addressing technical, reputational, and compliance risks. The methodology can be tailored to suit individual organizations, providing a proactive approach to ensuring the safety and reliability of AI systems. Understanding the Need for AI Red Teams Machine learning has the potential to revolutionize various aspects of our lives, but it also comes with risks....

Summary NVIDIA’s AI Labs (NVAIL) partners are at the forefront of AI research, presenting groundbreaking work at the International Conference on Learning Representations (ICLR). This article delves into the research presented by NVAIL partners, including Mila, UC Berkeley, and TU Darmstadt, focusing on robotics and AI applications. From platforms for learning tasks based on language instructions to predicting future video frames, these projects showcase the cutting-edge advancements in AI. AI Research at ICLR: A Glimpse into the Future The International Conference on Learning Representations (ICLR) is a premier event for AI researchers to share their latest findings....

Simplifying AI Development: How NVIDIA AI Workbench Revolutionizes GPU Use Summary: NVIDIA AI Workbench is a free development environment manager that streamlines data science, machine learning, and AI projects on various systems, including PCs, workstations, and cloud platforms. This article explores how AI Workbench simplifies using GPUs on Windows, enhancing collaboration and project management for developers. What is NVIDIA AI Workbench? NVIDIA AI Workbench is a user-friendly development environment manager designed to simplify AI, data science, and machine learning projects....

Summary: NVIDIA Air is a groundbreaking cloud-hosted data center simulation platform that revolutionizes how IT infrastructures are managed and optimized. This platform allows organizations to create digital twins of their network infrastructure, enabling comprehensive testing and validation of configurations, features, and automation code. In this article, we delve into the key features and benefits of NVIDIA Air, exploring its potential to streamline network operations and accelerate AI adoption. Understanding NVIDIA Air NVIDIA Air is a cloud-based infrastructure simulation platform that behaves like a real-world production environment....

Summary NVIDIA has announced the release of Nsight Graphics 2018.4, a powerful tool for graphics debugging and profiling. This new version includes several key features such as GPU Trace, Vulkan Ray Tracing support, and Pixel History for D3D12. These features are designed to help developers optimize their graphics applications and troubleshoot issues more effectively. Unlocking Graphics Performance with Nsight Graphics 2018.4 Nsight Graphics 2018.4 is the latest release from NVIDIA, aimed at providing developers with a comprehensive toolset for graphics debugging and profiling....

Summary NVIDIA Nsight Graphics 2018.5 is a powerful tool for debugging, profiling, and analyzing graphics applications. This version introduces significant enhancements, including Turing GPU support, Copy Engine Visualization in GPU Trace, and the ability to export Range Profiler data to CSV. These features enable developers to optimize their applications more effectively, identify performance bottlenecks, and improve overall GPU utilization. Unlocking the Power of NVIDIA Nsight Graphics 2018.5 NVIDIA Nsight Graphics 2018....

Summary NVIDIA has announced Nsight Graphics 2018.7, a powerful tool for graphics developers. This release includes several new features and improvements, such as enhanced ray tracing support, Vulkan debugging capabilities, and an improved GPU Trace. Here, we’ll dive into the details of these updates and explore how they can help developers create more efficient and high-quality graphics. Enhanced Ray Tracing Support Nsight Graphics 2018.7 introduces a new feature that allows developers to visualize the scene Bounding Volume Hierarchy (BVH)....

Summary: NVIDIA Nsight Graphics 2019.4 is a powerful tool designed to help developers optimize and debug their graphics applications. This release includes several key enhancements and new features, such as support for profiling OpenGL applications on Turing-based GPUs with the Range Profiler, resource barrier visualization in GPU Trace, and the porting of the Acceleration Structure Viewer to Linux. These updates aim to provide developers with deeper insights into their applications’ performance and help them identify areas for improvement....

Summary NVIDIA Nsight Graphics 2020.3 is a powerful tool for profiling and debugging graphics applications. This latest version introduces several key features and improvements, including support for the VK_KHR_ray_tracing extension, DirectX RayTracing Tier 1.1, and a new command-line interface (CLI) for report generation. It also offers enhanced visualization capabilities, improved performance, and expanded support for various graphics APIs and extensions. Unlocking Advanced Graphics Profiling with NVIDIA Nsight Graphics 2020.3 NVIDIA Nsight Graphics 2020....

Unlocking GPU Performance with NVIDIA Nsight Graphics 2020.5 Summary NVIDIA Nsight Graphics 2020.5 is a powerful tool designed to help developers and engineers optimize and debug their graphics and compute applications. This latest version includes significant updates to support the new NVIDIA Ampere microarchitecture, offering enhanced profiling capabilities and deeper insights into GPU performance. Here, we explore the key features and improvements of Nsight Graphics 2020.5 and how they can be leveraged to unlock the full potential of NVIDIA GPUs....