Compare Streaming Media Players With NVIDIA SHIELD

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If you’re thinking about buying a next-gen smart TV console after hearing about the new Apple TV, we have good news: You’ve got options. We introduced our own next-gen smart TV console — NVIDIA SHIELD Android TV — back in May. And it offers extraordinary capabilities. SHIELD offers 3x more performance, plus more features and more ways to game. It’s still the only smart TV console that can stream 4K content. And — thanks to its support for Chromecast — it connects your mobile devices directly to your living room display.

Compare Streaming Media Players With NVIDIA SHIELD

This document discusses running containerized applications at scale on AWS. It begins by explaining why containers are used and the challenges of scaling container workloads, such as resource and state management, monitoring, service discovery, and deployment. It then provides an overview of Amazon ECS concepts like clusters, tasks, and services. The rest of the document discusses how to address the scaling challenges with services like Application Auto Scaling, service discovery options, monitoring with CloudWatch, logging with CloudWatch Logs, task scheduling and placement strategies, IAM roles, and demoing an application on ECS.

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The document discusses Amazon EC2 Container Registry (ECR), which is a fully managed Docker container registry that makes it easy for developers to store, manage, and deploy Docker container images. It provides details on what ECR is, how it integrates with other AWS services like ECS, its access control and encryption features, and demos of common user workflows like creating a registry, pushing images, and using images in tasks.

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This document provides information about advertising video on Twitter. It notes that 90% of Twitter's video views occur on mobile devices, allowing advertisers to reach a large, engaged mobile audience. All video views on Twitter are considered viewable as they require 3 seconds of play or a user expanding and unmuting a video. Advertisers can also leverage Twitter's targeting capabilities to distribute videos to specific audiences based on keywords, interests, and TV conversations. The document highlights data showing large growth in video consumption and engagement on Twitter from Q4 2014 to Q1 2015.

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1. The document discusses five top stories highlighting what's hot in high performance computing (HPC) and artificial intelligence (AI). 2. The first story is about using HPC and AI to accelerate quantum chemistry simulations for faster drug discovery. 3. The second story discusses SAP using NVIDIA's Volta computing platform to power its machine learning applications, becoming the first enterprise offering to use this platform.

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The document discusses how deep learning is revolutionizing radiology and some of the developments that will be showcased at the upcoming RSNA conference in Chicago. It summarizes that machine learning and AI startups in healthcare are booming, with the number growing over 160% in the last five years. It also mentions that the largest medical imaging competition hosted at RSNA each year was won by 16bit.ai for their pediatric bone age challenge algorithms powered by GPUs. Finally, it states that findings from the Center for Clinical Data Science using NVIDIA's DGX-1 supercomputer to power medical imaging research are already being applied in doctors' clinics.

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The document discusses insights into deep learning and artificial intelligence. It provides the top 5 headlines: 1) Pentagon official discusses how AI and machine learning will revolutionize the US intelligence community. 2) Startup is working on an AI system to detect lung cancer earlier from chest X-rays to save lives. 3) NVIDIA's GPU Cloud gives developers access to optimized deep learning tools in the cloud. 4) Non-profit AI4ALL partners with NVIDIA to increase students' access to AI resources and careers. 5) NVIDIA expands its Deep Learning Institute to address the growing need for AI experts.

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This document provides an overview and agenda for a workshop on deploying a deep learning framework on Amazon ECS and EC2 Spot Instances. The workshop will: - Introduce MXNet, an open-source deep learning framework. - Provide an overview of containers, Amazon ECS, Amazon ECR, AWS CloudFormation, and EC2 Spot Instances. - Guide participants through hands-on labs to build an MXNet Docker image, deploy an MXNet container with ECS, run an image classification demo, and wrap the demo in an ECS task.

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Outlining a sweeping vision for the “age of AI,” NVIDIA CEO Jensen Huang Monday kicked off the GPU Technology Conference. Huang made major announcements in data centers, edge AI, collaboration tools and healthcare in a talk simultaneously released in nine episodes, each under 10 minutes. “AI requires a whole reinvention of computing – full-stack rethinking – from chips, to systems, algorithms, tools, the ecosystem,” Huang said, standing in front of the stove of his Silicon Valley home. Behind a series of announcements touching on everything from healthcare to robotics to videoconferencing, Huang’s underlying story was simple: AI is changing everything, which has put NVIDIA at the intersection of changes that touch every facet of modern life. More and more of those changes can be seen, first, in Huang’s kitchen, with its playful bouquet of colorful spatulas, that has served as the increasingly familiar backdrop for announcements throughout the COVID-19 pandemic. “NVIDIA is a full stack computing company – we love working on extremely hard computing problems that have great impact on the world – this is right in our wheelhouse,” Huang said. “We are all-in, to advance and democratize this new form of computing – for the age of AI.” This GTC is one of the biggest yet. It features more than 1,000 sessions—400 more than the last GTC—in 40 topic areas. And it’s the first to run across the world’s time zones, with sessions in English, Chinese, Korean, Japanese, and Hebrew.

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The document outlines 7 ways to boost AI research including streamlining workflow productivity through container technology on NVIDIA's NGC container registry, accessing hundreds of optimized applications through NVIDIA's GPU applications catalog, iterating large datasets faster through discounted NVIDIA TITAN RTX GPUs, solving real-world problems through NVIDIA's deep learning institute courses, gaining insights from industry leaders through talks at the GPU technology conference, acquiring high quality research data through open databases, and learning more about NVIDIA's solutions for higher education and research.

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