Summary Custom generative AI models are becoming increasingly important for enterprises looking to integrate AI into their operations. NVIDIA NeMo is an end-to-end platform designed to simplify the development of these models. This article explores how NeMo can help organizations build custom generative AI models tailored to their specific needs, enhancing decision-making capabilities and driving greater value. Building Custom Enterprise Generative AI with NVIDIA NeMo NVIDIA NeMo is an end-to-end platform for developing custom generative AI models....

Unlocking the Power of Generative AI: NVIDIA H200 Tensor Core GPUs and TensorRT-LLM Set New Records Summary NVIDIA has achieved remarkable performance records in the latest MLPerf Inference v4.0 benchmarks, showcasing the power of its H200 Tensor Core GPUs and TensorRT-LLM software. This article delves into the key highlights and technical details behind these achievements, emphasizing the importance of high-performance computing in the rapidly evolving field of generative AI. Introduction Generative AI models, including large language models (LLMs), are revolutionizing various computing applications, from crafting marketing copy to rendering detailed images and composing music....

Summary Customizing large language models (LLMs) for specific industry needs is crucial for effective AI applications. NVIDIA NeMo Customizer is a scalable microservice that simplifies the fine-tuning and alignment of LLMs, leveraging parallelism techniques to accelerate training performance. This article explores how NeMo Customizer can help enterprises create custom LLMs that understand and integrate specific industry terminology, domain expertise, and unique organizational requirements. Simplifying LLM Customization with NVIDIA NeMo Customizer The demand for custom LLMs that can understand and integrate specific industry terminology, domain expertise, and unique organizational requirements is growing rapidly....

Building High-Performance Applications in the Era of Accelerated Computing: A New Frontier Summary The era of accelerated computing has ushered in a new age of high-performance applications, driven by the need for faster and more efficient data processing. This article explores how NVIDIA’s comprehensive ecosystem of accelerated HPC software solutions is helping developers meet the demands of modern AI-driven workloads. We’ll delve into the tools and libraries that enable applications to scale across multi-GPU and multi-node platforms, and discuss the benefits of accelerated computing in various fields....

Summary NVIDIA recently showcased its AI security expertise at leading cybersecurity conferences, including Black Hat USA and DEF CON. The company’s AI security experts shared insights on the rapidly evolving AI landscape, adversarial machine learning training, and large language model (LLM) security. This article highlights the key takeaways from these events and explores how NVIDIA is contributing to the development of AI-powered cybersecurity solutions. NVIDIA’s AI Security Expertise on Display...

Understanding Computer Vision: A Guide to How Devices See the World Summary Computer vision is a field of artificial intelligence that enables devices to acquire, process, understand, and analyze digital images and videos to extract useful information. This technology has numerous applications in various industries, including healthcare, transportation, and security. In this article, we will explore the basics of computer vision, its applications, and how it works. What is Computer Vision?...

Rethinking How to Train Diffusion Models: A New Approach Summary: Training diffusion models can be a complex and time-consuming process. However, by rethinking the training dynamics of these models, researchers have found ways to improve their performance and efficiency. This article explores the challenges of training diffusion models and presents a new approach that simplifies the process and achieves state-of-the-art results. The Challenges of Training Diffusion Models Training diffusion models is a delicate process....

Summary The latest release of NVIDIA Nsight Graphics introduces new features for ray tracing development, combining AI acceleration to push graphics fidelity and performance to new heights. This article explores these new features, including tools for harnessing AI acceleration, and how they help developers build optimized, bug-free applications. Unlocking New Heights in Graphics with NVIDIA Nsight Tools The fusion of ray tracing and AI is revolutionizing graphics technology, enabling developers to create stunning visuals at unprecedented levels of fidelity and performance....

Building Production-Ready AI Sensor Processing Applications with NVIDIA Holoscan Summary NVIDIA Holoscan is a domain-agnostic, multimodal AI sensor processing platform that provides the accelerated, full-stack infrastructure needed for real-time processing of streaming data at the edge or in the cloud. This article explores how developers can use NVIDIA Holoscan to build production-ready AI sensor processing applications, focusing on its key features, benefits, and practical applications. Introduction The integration of artificial intelligence (AI) with sensors has revolutionized various industries by enabling real-time data processing and analysis....

Summary NVIDIA cuOpt is a powerful optimization engine designed to solve complex routing problems. It has set 23 world records on the largest routing benchmarks, outperforming traditional CPU-based solvers by a significant margin. This article explores the key elements of cuOpt, its optimization algorithms, and the process of benchmarking against leading solutions in the field. Breaking Down Complex Routing Problems with NVIDIA cuOpt NVIDIA cuOpt is an accelerated optimization engine that efficiently solves complex routing problems with various constraints such as breaks, wait times, multiple cost and time matrices for vehicles, multiple objectives, order-vehicle matching, vehicle start and end locations, and vehicle start and end times....