NVIDIA Files and Registers New Trademarks

NVIDIA Digital Logo

After months of rumors, leaks, and speculation, it’s nice to have some actual facts to report on with team green’s activities. As is common for larger corporations, NVIDIA has been filing and registering various trademarks.

NVIDIA CloudXR – Filed 5/5/2020

This is a data center and edge network solution to stream VR and AR. Based on RTX technology, it allows content to be streamed and encoded across networks.

NVIDIA CloudXR, a groundbreaking technology built on NVIDIA RTX, delivers VR and AR across 5G and Wi-Fi networks.

Kaolin – Filed 5/13/2020

Kaolin is a 3D deep learning library. Its datasets aim to streamline the process of 3D model creation.

To date, researchers have lacked a good utility to make those models ready for use with deep learning tools, which also are evolving at a rapid pace. Instead, they were forced to spend significant time writing from scratch what should be boilerplate code.

Frames Win Games – Registered 5/22/2020

Frames Win Games has been one of NVIDIA’s promotional slogans in recent times. It succeeds their “NVIDIA The Way It’s Meant to be Played” that has been around for many years and seen in many games.

A faster graphics card delivers higher frame rates that let you see things earlier and give you a better chance of hitting your target.

NVIDIA Aerial – Filed 5/28/2020

NVIDIA Aerial is another tool for 5G implementation. This software-based application framework is for GPU-Accelerated 5G Virtual Radio Access Networks (vRAN).

NVIDIA Aerial, an Application framework for building high-performance, software-defined, cloud-native 5G applications, to address increasing consumer demand. Optimized results with parallel processing on GPU for Baseband signals and data flow.

NVIDIA also filed for a couple of new trademarks. Interestingly enough, one was for GFN. This is presumably for GeForce Now. It is a little odd that it was only filed on May 22nd. The newest one was filed on July 1st and is a trademark for NVIDIA EGX, another edge solution intended to expand real-time AI.

Peter Brosdahl
As a child of the 70’s I was part of the many who became enthralled by the video arcade invasion of the 1980’s. Saving money from various odd jobs I purchased my first computer from a friend of my dad, a used Atari 400, around 1982. Eventually it would end up being a lifelong passion of upgrading and modifying equipment that, of course, led into a career in IT support.

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