Thursday, November 16, 2023

Your Personalized Developer News from NVIDIA

Read the latest tutorials and news curated for you.
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Top Stories For You


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Unlock the Power of NVIDIA Grace and NVIDIA Hopper Architectures with Foundational HPC Software
High-performance computing (HPC) powers applications in simulation and modeling, healthcare and life sciences, industry and engineering, and more. In the modern...
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Mastering LLM Techniques: Training 
Large language models (LLMs) are a class of generative AI models built using transformer networks that can recognize, summarize, translate, predict, and...
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Mastering LLM Techniques: LLMOps
Businesses rely more than ever on data and AI to innovate, offer value to customers, and stay competitive. The adoption of machine learning (ML), created a need...
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Best Practices for Securing LLM-Enabled Applications
Large language models (LLMs) provide a wide range of powerful enhancements to nearly any application that processes text. And yet they also introduce new risks,...
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Deploy Large Language Models at the Edge with NVIDIA IGX Orin Developer Kit
As large language models (LLMs) become more powerful and techniques for reducing their computational requirements mature, two compelling questions emerge....
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NVIDIA AI Foundation Models: Build Custom Enterprise Chatbots and Co-Pilots with Production-Ready LLMs
Large language models (LLMs) are revolutionizing data science, enabling advanced capabilities in natural language understanding, AI, and machine learning....
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Elevate Enterprise Generative AI App Development with NVIDIA AI on Azure Machine Learning
Generative AI is revolutionizing how organizations across all industries are leveraging data to increase productivity, advance personalized customer engagement,...
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Build Custom Enterprise-Grade Generative AI with NVIDIA AI Foundation Models 
In the realm of generative AI, building enterprise-grade large language models (LLMs) requires expertise collecting high-quality data, setting up the...
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Accelerating Ptychography Workflows with NVIDIA Holoscan at Diamond Light Source
Diamond Light Source is a world-renowned synchrotron facility in the UK that provides scientists with access to intense beams of x-rays, infrared, and other...
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Energy Efficiency in High-Performance Computing: Balancing Speed and Sustainability
The world of computing is on the precipice of a seismic shift.  The demand for computing power, particularly in high-performance computing (HPC), is...
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Upcoming Webinar Series: How to Get Started With AI Inference
Join us for a series of expert-led talks where we'll explore a full-stack approach to AI inference and how to optimize the AI-inferencing workflow to lower...
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NVIDIA Deep Learning Institute Launches Science and Engineering Teaching Kit
AI is quickly becoming an integral part of diverse industries, from transportation and healthcare to manufacturing and finance. AI powers chatbots, recommender...
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Simplifying GPU Programming for HPC with NVIDIA Grace Hopper Superchip
The new hardware developments in NVIDIA Grace Hopper Superchip systems enable some dramatic changes to the way developers approach GPU programming. Most...
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Using Synthetic Data to Address Novel Viewpoints for Autonomous Vehicle Perception
Autonomous vehicles (AV) come in all shapes and sizes, ranging from small passenger cars to multi-axle semi-trucks. However, a perception algorithm deployed on...
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Optimize Energy Efficiency of Multi-Node VASP Simulations with NVIDIA Magnum IO
Computational energy efficiency has become a primary decision criterion for most supercomputing centers. Data centers, once built, are capped in terms of the...
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Enabling Greater Patient-Specific Cardiovascular Care with AI Surrogates
A Stanford University team is transforming heart healthcare with near real-time cardiovascular simulations driven by the power of AI. Harnessing...
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Accelerating Neurosymbolic AI with RAPIDS and Prometheux Vadalog Parallel
As the scale of available data continues to grow, so does the need for scalable and intelligent data processing systems to swiftly harness useful knowledge....
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New Workshop: Rapid Application Development Using Large Language Models
Interested in developing LLM-based applications? Get started with this exploration of the open-source ecosystem.
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Whole Human Brain Neuro-Mapping at Cellular Resolution on NVIDIA DGX
Whole human brain imaging of 100 brains at a cellular level within a 2-year timespan, and subsequent analysis and mapping, requires accelerated supercomputing...
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Setting New Records at Data Center Scale Using NVIDIA H100 GPUs and NVIDIA Quantum-2 InfiniBand
Generative AI is rapidly transforming computing, unlocking new use cases and turbocharging existing ones. Large language models (LLMs), such as OpenAI's GPT...
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RAPIDS cuDF Accelerates pandas Nearly 150x with Zero Code Changes
NVIDIA announced that RAPIDS cuDF can now bring GPU acceleration to 9.5M million pandas users without requiring them to change their code. [stextbox...
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Accelerating NetworkX on NVIDIA GPUs for High Performance Graph Analytics
NetworkX states in its documentation that it is "…a Python package for the creation, manipulation, and study of the structure, dynamics, and functions of...
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CUDA-Accelerated Robot Motion Generation in Milliseconds with NVIDIA cuRobo
Real-time autonomous robot navigation powered by a fast motion-generation algorithm can enable applications in several industries such as food and services,...
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Getting Started with Large Language Models for Enterprise Solutions
Large language models (LLMs) are deep learning algorithms that are trained on Internet-scale datasets with hundreds of billions of parameters. LLMs can read,...
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Video: Exploring Speech AI from Research to Practical Production Applications
The integration of speech and translation AI into our daily lives is rapidly reshaping our interactions, from virtual assistants to call centers and augmented...
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Level Up Your Lighting: Q&A with Lighting Artist Ted Mebratu
NVIDIA recently caught up with veteran-level lighting artist Ted Mebratu to find out how he pushed real-time lighting to its limits with the Rainy Neon Lights...
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Join the First NVIDIA LLM Developer Day: Elevate Your App-Building Skills
NVIDIA LLM Developer Day is a virtual event providing hands-on guidance for developers exploring and building LLM-based applications and services. You can gain...
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ICYMI: Leveraging the Power of GPUs with CuPy in Python
See how KDNuggets achieved 500x speedup using CuPy and NVIDIA CUDA on 3D arrays.
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Webinar: Accelerate Edge AI Development with NVIDIA Metropolis APIs and Microservices on NVIDIA Jetson
Explore how Metropolis APIs and microservices on NVIDIA Jetson can significantly reduce vision AI development timelines from years to months.
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Analyze, Visualize, and Optimize Real-World Processes with OpenUSD in FlexSim
For manufacturing and industrial enterprises, efficiency and precision are essential. To streamline operations, reduce costs, and enhance productivity,...
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