NVIDIA Archives - Liwaiwai

Microsoft To Showcase Purpose-Built AI Infrastructure At NVIDIA GTC

Join Microsoft at NVIDIA GTC, a free online global technology conference (GTC), March 20 to 23 to learn how organizations of any size can power AI innovation with purpose-built cloud infrastructure from Microsoft. Microsoft’s Azure AI supercomputing infrastructure is uniquely designed for AI workloads and helps build and train some of the industry’s most advanced AI solutions. From data preparation to model and infrastructure performance management, Azure’s comprehensive portfolio of powerful and massively scalable GPU-accelerated virtual machines (VMs) and seamless integration with services like Azure Batch and open-source solutions helps streamline management and automation of large AI models and infrastructure. Attend NVIDIA GTC to discover how…

Data

Scaling Machine Learning Inference With NVIDIA Tensorrt And Google Dataflow

A collaboration between Google Cloud and NVIDIA has enabled Apache Beam users to maximize the performance of ML models within their data processing pipelines, using NVIDIA TensorRT and NVIDIA GPUs alongside the new Apache Beam TensorRTEngineHandler. The NVIDIA TensorRT SDK provides high-performance, neural network inference that lets developers optimize and deploy trained ML models on NVIDIA GPUs with the highest throughput and lowest latency, while preserving model prediction accuracy. TensorRT was specifically designed to support multiple classes of deep learning models, including convolutional neural networks (CNNs), recurrent neural networks (RNNs), and Transformer-based models. Deploying and managing end-to-end ML inference pipelines…

Monitoring GPU Workloads On GKE With NVIDIA Data Center GPU Manager (DCGM)

Artificial intelligence (AI) and machine learning (ML) have become an increasingly important enterprise capability, including use cases such as product recommendations, autonomous vehicles, application personalization, and automated conversational platforms. Building and deploying ML models demand high-performance infrastructure. Using NVIDIA GPUs can greatly accelerate the training and inference system. Consequently, monitoring GPU performance metrics to understand workload behavior is critical for optimizing the ML development process. Many organizations use Google Kubernetes Engine (GKE) to manage NVIDIA GPUs to run production AI inference and training at scale. NVIDIA Data Center GPU Manager (DCGM) is a set of tools from NVIDIA to manage…

Cross-Industry Hardware Specification To Accelerate AI Software Development

Arm, Intel and Nvidia have jointly authored a paper describing an 8-bit floating point (FP8) specification and its two variants E5M2 and E4M3 to provide a common interchangeable format that works for both artificial intelligence (AI) training and inference. This cross-industry specification alignment will allow AI models to operate and perform consistently across hardware platforms, accelerating AI software development. Computational requirements for AI have been growing at an exponential rate. New innovation is required across hardware and software to deliver computational throughput needed to advance AI. One of the promising areas of research to address this growing compute gap is to reduce…

Microsoft Shares What’s Next In Machine Learning At NVIDIA GTC

Finding scalable solutions for today’s global challenges requires forward-thinking, transformative tools. As environmental, economic, and public health concerns mount, Microsoft Azure is addressing these challenges head on with high-performance computing (HPC), AI, and machine learning. The behind-the-scenes power for everything from MRI scans to energy management and financial services, these technologies are equipping customers and developers with innovative solutions that break through the boundaries of what’s possible in data and compute, paving the way for growth opportunities that span industries and applications around the world. Microsoft Azure is committed to unlocking these new opportunities for our customers, providing the broadest…

Building AI In The Cloud: An Easier Way With Google Cloud And NVIDIA

NVIDIA GPU-powered instances on Google Cloud provide an optimal platform for organizations to develop their AI applications on the latest hardware and software stack, then seamlessly deploy those applications at scale in production. Simplifying Workflows to Speedup AI Developments NVIDIA recently announced the One Click Deploy feature on the NVIDIA NGC catalog, the hub for GPU-optimized AI software. Developed in collaboration with Google Cloud, this feature simplifies the deployment of AI software, to a single click from the NGC catalog. This allows data scientists to deploy frameworks, software development kits and Jupyter Notebooks directly to Google Cloud’s Vertex AI Workbench, a new…

Artificial Intelligence

Azure Confidential Computing With NVIDIA GPUs For Trustworthy AI

Many industries such as healthcare, finance, transport, and retail are going through a major AI-led disruption. The exponential growth of datasets has resulted in growing scrutiny of how data is exposed—both from a consumer data privacy and compliance perspective. For example, the use of AI in healthcare has grown rapidly, with hospitals and pharmaceutical companies using AI to improve diagnostics and improve drug discovery and development. In transport, the interaction between humans and vehicles is being re-imagined thanks to AI-powered autonomous driving. However, broader democratization of AI is limited by concerns regarding sharing and use of personal data.1 For example, banks…

Microsoft Powers Transformation At NVIDIA GTC Fall—GPU Technology Conference

Customers around the world rely on Microsoft Azure to drive innovations related to our environment, public health, energy sustainability, weather modeling, economic growth, and more. Finding solutions to these important challenges requires huge amounts of focused computing power. Customers are increasingly finding the best way to access such high-performance computing (HPC) through the agility, scale, security, and leading-edge performance of Azure’s purpose-built HPC and AI cloud services. Azure’s market-leading vision for HPC and AI is based on a core of genuine and recognized HPC expertise, using proven HPC technology and design principles, enhanced with the best features of the cloud.…

Artificial Intelligence

Cloudflare Partners With NVIDIA To Bring AI To Its Global Edge Network

Cloudflare, Inc. (NYSE: NET), the security, performance, and reliability company helping to build a better Internet, announced it is partnering with NVIDIA to bring AI to the edge at scale. Today’s applications use AI for a variety of tasks from translating text on webpages to object recognition in images, making machine learning models a critical part of application development. Users expect this functionality to be fast and reliable, while developers want to keep proprietary machine learning models reliable and secure. Cloudflare is seamlessly solving for their security, performance, and reliability needs while NVIDIA provides developers with a broad range of…

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