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Nvidia DLSS Is Building a Walled Garden, and It's Working

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I just reviewed AMD's new Radeon RX 6600, which is a budget GPU that squarely targets 1080p gamers. It's a decent option, especially in a time when GPU prices are through the roof, but it exposed a trend that I've seen brewing over the past few graphics card launches. Nvidia's Deep Learning Super Sampling (DLSS) tech is too good to ignore, no matter how powerful the competition is from AMD. In a time when resolutions and refresh rates continue to climb, and demanding features like ray tracing are becoming the norm, upscaling is essential to run the latest games in their full glory. AMD offers an alternative to DLSS in the form of FidelityFX Super Resolution (FSR).


Supercomputing, 5G, & Enterprise AI: Takeaways from Nvidia's 2021 Conference

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From making GPU based video games to leading groundbreaking innovations in data science, AI and computing, Nvidia is leading the fourth industrial revolution. After years of innovation and experimentation, Nvidia launched "Grace," the company's 1st data center CPU. Grace will use NLP processing, recommendation systems, and AI supercomputing to tap large datasets. After opening the Omniverse design and collaboration platform in December, the company is developing its Omniverse Enterprise with over 400 major companies already using it. With Blue-field3, the company is facilitating real-time network visibility, and detection of cyberthreats for multiple organisations and with many other innovations such as autonomous vehicles, new SDK for quantum circuit simulation and more that's yet to disrupt AI and technology.


Here's My Favorite Artificial Intelligence Stock Now

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There are many great companies that could benefit from the surge in artificial intelligence (AI) in the coming years, so how should investors play it? In this Fool Live video clip, recorded on Sept. 23, Fool.com contributor Rachel Warren discusses why Nvidia (NASDAQ:NVDA) is her top AI stock to buy now. Rachel Warren: Today, I'm going to be talking about Nvidia, which is ticker symbol NVDA. I think it's a really interesting company to consider if you're looking for a high-growth tech company that's very much intertwined with AI, but that's also really established in the space that it's in and has a really diversified business structure. For anyone who is newer to the stock, Nvidia was founded in 1993.


Nvidia and VMware team up to help enterprises scale up AI development

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Enterprises can begin to run trials of their AI projects using VMware vSphere with Tanzu together with Nvidia AI Enterprise software suite, as part of moves by both companies to further simplify AI development and application management. By extending testing to vSphere with Tanzu, Nvidia boasts it will enable developers to run AI workloads on Kubernetes containers within their existing VMware environments. The software suite will run on mainstream Nvidia-certified systems, the company said, noting it would provide a complete software and hardware stack suitable for AI development. "Nvidia has gone and invested in building all of the next-generation cloud application-level components, where you can now take the NGC libraries, which are container-based, and run those in a Kubernetes orchestrated VMware environment, so you're getting the ability now to go and bridge the world of developers and infrastructure," VMware cloud infrastructure business group marketing VP Lee Caswell told media. The move comes off the back of VMware announcing Nvidia AI Enterprise in March.


Nvidia and VMware team up to help enterprises scale up AI development

ZDNet

Enterprises can begin to run trials of their AI projects using VMware vSphere with Tanzu together with Nvidia AI Enterprises software suite, as part of moves by both companies to further simplify AI development and application management. By extending testing to vSphere with Tanzu, Nvidia boasts it will enable developers to run AI workloads on Kubernetes containers within their existing VMware environments. The software suite will run on mainstream Nvidia-certified systems, the company said, noting it would provide a complete software and hardware stack suitable for AI development. "Nvidia has gone and invested in building all of the next-generation cloud application-level components, where you can now take the NGC libraries, which are container-based, and run those in a Kubernetes orchestrated VMware environment, so you're getting the ability now to go and bridge the world of developers and infrastructure," VMware cloud infrastructure business group marketing VP Lee Caswell told media. The move comes off the back of VMware announcing Nvidia AI Enterprise in March.


Senior Data Engineer, AI Infrastructure (Austin County, TX, USA)

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We have some of the most brilliant and hardworking people in the world working with us and our engineering teams are growing fast in some of the hottest state of the art fields: Deep Learning, Artificial Intelligence, and Autonomous Vehicles. If you're a creative computer scientist/engineer with a real passion for distributed systems and autonomous driving, we want to hear from you.The Colorado Equal Pay for Equal Work Act requires that NVIDIA provide the compensation range and benefits offered for this position if performed in Colorado. The base salary range for this position in Colorado is $190,800.00


Developers are making games for a Nintendo 4K console that doesn't exist

The Japan Times

Many people were surprised to learn that Nintendo Co.'s new video game console is missing a common feature of rival systems: support for high-fidelity, 4K graphics. Perhaps most perplexed were the numerous developers who were working on 4K games using a software toolkit provided by Nintendo. Employees at 11 game companies said their teams were in possession of Nintendo's 4K development kit for the Switch. The companies span the globe, ranging from large publishers to small studios and include at least one that has never made a console game before, Zynga Inc., according to the employees, who asked not to be identified because they weren't authorized to discuss their projects publicly. The latest model of the best-selling Nintendo Switch is set to go on sale Oct. 8.


The limitations of AI safety tools

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The Transform Technology Summits start October 13th with Low-Code/No Code: Enabling Enterprise Agility. In 2019, OpenAI released Safety Gym, a suite of tools for developing AI models that respects certain "safety constraints." At the time, OpenAI claimed that Safety Gym could be used to compare the safety of algorithms and the extent to which those algorithms avoid making harmful mistakes while learning. Since then, Safety Gym has been used in measuring the performance of proposed algorithms from OpenAI as well as researchers from the University of California, Berkeley and the University of Toronto. But some experts question whether AI "safety tools" are as effective as their creators purport them to be -- or whether they make AI systems safer in any sense. "OpenAI's Safety Gym doesn't feel like'ethics washing' so much as maybe wishful thinking," Mike Cook, an AI researcher at Queen Mary University of London, told VentureBeat via email.


Nvidia, University of Toronto are making robotics research available to small firms

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This article is part of our reviews of AI research papers, a series of posts that explore the latest findings in artificial intelligence. The human hand is one of the fascinating creations of nature, and one of the highly sought goals of artificial intelligence and robotics researchers. A robotic hand that could manipulate objects as we do would be enormously useful in factories, warehouses, offices, and homes. Yet despite tremendous progress in the field, research on robotics hands remains extremely expensive and limited to a few very wealthy companies and research labs. Now, new research promises to make robotics research available to resource-constrained organizations.


Top Cheapest Artificial Intelligence Stocks with Big Prospects in 2021

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Investments in 2021 will be quite beneficial if you can get these cheapest stocks of artificial intelligence. Here is a list of the cheapest artificial intelligence stocks. Leading graphics chip company Nvidia has taken advantage of the AI boom, with its graphics cards becoming the de facto standard in data centers around the world. Machine learning's training phase demands a lot of computing power; the phase that follows, the inference phase, requires less. Graphics processing unit (GPU) chips, used primarily for rendering video games, support both phases well.