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Nvidia Releases An Affordable AI Computer

AI enthusiasts will be happy to learn that Nvidia has released a small computer which is aimed at designers, researchers, and persons who wish to develop and test offline AI solutions.

Called Jetson Nano the miniaturized computer is now available for $99. The kit includes a powerful 64-bit quad-core processor manufactured by ARM and a beefy Nvidia Maxwell GPU which offers 4GB of RAM and an impressive processing speed of up to 472 teraflops. An assortment of ports which includes USB 3.0, HDMI and Ethernet are also provided, allowing users to connect accessories and external devices without problems.

The device offers native support for Linux distributions. It is also compatible with popular machine learning solutions like MXNet TensorFlow, Caffe, and Keras. Developers will have the option to run video analytics with up to eight simultaneous HD streams, which makes it an excellent alternative for those that wish to assemble a cheap surveillance camera setup.

Nvidia AI computer is an affordable device

Nvidia has been hard at work in recent months as the company wishes to extend its presence on the market. The new RTX line of video cards was well-received by gamers, and the previous generation has remained a hit among those that wish to build a powerful gaming system.

The company is also working its upcoming video games streaming service, which should be released in the following months. A beta version of the service has been available for a while, and it is likely that a stable version is currently in development. Called GeForce Now, the service will allow users with modest computers to play the latest games without the need to buy an expensive gaming setup. Those who will wish to stream their favorite games will have to pay a monthly subscription. The prices weren’t announced at this point, but they should be quite reasonable.

The Jetson Nano faces some serious competition from Intel and Google, but Nvidia has the chance to conquer a new market segment with the help of the device.

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Tech

Nvidia Made Its PhysX Code as Open Source On GitHub

Describing Nvidia as the most open-source-friendly company would be wrong. However, yesterday Nvidia has announced the release of the PhysX code as an open source. For newbies, PhysX is a physics engine that Nvidia acquired when it bought Ageia, which worked in Physics Processing Units. Since then, this technology has been closely tied to GPUs and green giant technologies, including the well-known CUDA.

PhysX is used in multiple fields within computing for physics simulations, including Artificial Intelligence, robotics and computer vision, self-driven vehicles, and high-performance computing.

Published under the 3-clause BSD license (BSD 3), this distribution modality has reached iOS, macOS, Android ARM (version 2.2 for the SDK and 2.3 for code snippets), Linux (testing on Ubuntu) and Windows XP and higher, but the EULA remains unchanged for Xbox One, PlayStation 4 and Nintendo Switch. On the other hand, its SDK is currently integrated into the Unreal Engine 3 and four engines and in Unity3D to be used by all developers who want to use it in their projects.

nvidia Made Its PhysX Code as Open Source On GitHub

However, it seems that at least at the moment the execution of PhysX in AMD GPU is an impossibility, so this advance will only serve for those who use NVIDIA GPU because this change has not come to the implementation of this technology for video game consoles.

Another detail to emphasize is that this could be more oriented to corporate solutions and the areas mentioned above than to the end users. Until now, PhysX has not been lavished much in products oriented to the end user compatible with GNU/Linux, besides that the users of the Open Source system expect other movements on the part of the multinational of Santa Clara.

The PhysX code has been published under BSD 3 and can be obtained from GitHub.

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Crypto Finance News

Nvidia to Lower in Pre-market Because of the Cryptocurrency Income

Nvidia shares are known to open lower Friday after the Santa Clara Calif-based chipmaker said deals from its digital money mining chips would fall strongly this quarter as supply imperatives ease and request moderates.

Nvidia Corporation shares became lower in pre-advertise trading Friday after the chipmaker posted more grounded than-anticipated first-quarter income yet spooked financial specialists by uncovering points of interest that demonstrate an expanding dependence on unpredictable cryptocurrency mining activity.

Nvidia said its first-quarter net salary dramatically increased from a similar period a year ago to $1.24 billion, or $2.05 an offer barring exceptional items, a figure which soundly beat Wall Street gauges for the year’s hottest tech stock. Group incomes additionally beat conjectures, rising 65% to $3.21 billion for the three months finishing off with March. In any case, around 10% of that top line of $289 million originated from cryptocurrency mining, as Nvidia stated, and that number is relied upon to fall strongly, by around 66% in the present quarter.

Cryptominers purchased a lot of their GPUs amid the quarter, and it drove costs up. Furthermore, they believe that lots of gamers couldn’t become tied up with the new GeForce as a result, as CEO Jensen Huang told investors on a conference call on Thursday. As we’re all seeing, the costs descend, and they monitor spot pricing each and every day around the globe. Also, the costs are beginning to normalize.

Activity Alerts Plus to be 2.16% lower in the pre-marketing trades?

Activity Alerts Plus holding Nvidia shares were stamped 2.16% lower in pre-marketing trade. This shows an opening chime cost of $254.50 each, a move that would trim its year-to-date achievements of 31.5%, yet, at the same time, leave the Santa Clara, Calif-based group as the best entertainer on the Philadelphia Semiconductor sector benchmark.

The market response to the digital currency incomes, be that as it may, gives a false representation of a solid first quarter for the group, TheStreet’s Eric Jhonsa said on Thursday, given that every one of its revealed advertise segments (Gaming, Datacenter, Automotive, Professional Visualization and OEM and IP) beat consensus income gauges.

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