You're fully stocked up on your own madness. Not you, but the royal you meaning UK.
In the end it's all due to Facebook and the Russians. Let's stop with politics here and discuss graphics stuff, this is below our level.
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You're fully stocked up on your own madness. Not you, but the royal you meaning UK.
There is a Brexit deal it seems today, let's see what US stock will do with it
Heard that multiple times every day this week. Heard 1 hour later of how it all fell apart. Chaos.
Maybe this time it wont fall apart?
Though is the US Stock Market closed for Thanksgiving Holiday?
Leading China e-commerce companies JD.com and Meituan have selected the NVIDIA Jetson AGX Xavier platform to power their next-generation autonomous delivery robots.
Next-generation delivery robots require massive computing performance in a small package. Various sensors, including multiple high-resolution cameras and lidar, must perceive the world around them to localize, path plan and move in complex, dynamic, city environments. They need to identify — and respond to — pedestrians, cars, traffic lights, signs and other objects, all in real time.
JD’s delivery robot is outfitted with multiple high-definition sensors connected to a Jetson AGX Xavier to provide 360-degree real-time vision and perception processing for full situational awareness of the environment. By doing this, the delivery robot can easily navigate crowded streets, autonomously plan its route to customers, avoid obstacles, and recognize traffic lights.
Meituan Dianping is the world’s largest on-demand food delivery company. Combining the business models of Uber Eats, Yelp and Groupon, it works with more than 400,000 local businesses. Meituan Dianping launched its Xiaodai (meaning “pouch”) autonomous delivery vehicle to move meals from restaurants to consumers.
While the delivery vehicle has a small size and battery, the amount of processing required for sensing, positioning and planning is the same as large unmanned vehicles and relies heavily on high-performance computing from Jetson AGX Xavier.
Erm, that's conflicting compared to what the Market Watch report from them said - it said discrete graphics was down 16 % from last year?Jon Peddie: Quarter-to-quarter graphics board shipments decreased by 19.2% and decreased by 36.1% year-to-year.
The market shares for the desktop discrete GPU suppliers shifted in the quarter, Nvidia increased market share from last quarter, it also increased share from the same quarter last year.
“The third quarter is normally the strongest from the previous quarter. This quarter it was down -19.2% from the last quarter,” said Dr. Jon Peddie, President of JPR. “That is below the ten-year average of 14.9% and was caused by too much inventory in the channel due to a misjudgment on the strength of the crypto-mining demand.”
https://www.jonpeddie.com/store/add-in-board-report
Erm, that's conflicting compared to what the Market Watch report from them said - it said discrete graphics was down 16 % from last year?
Jon Peddie: Quarter-to-quarter graphics board shipments decreased by 19.2% and decreased by 36.1% year-to-year.
The market shares for the desktop discrete GPU suppliers shifted in the quarter, Nvidia increased market share from last quarter, it also increased share from the same quarter last year.
“The third quarter is normally the strongest from the previous quarter. This quarter it was down -19.2% from the last quarter,” said Dr. Jon Peddie, President of JPR. “That is below the ten-year average of 14.9% and was caused by too much inventory in the channel due to a misjudgment on the strength of the crypto-mining demand.”
https://www.jonpeddie.com/store/add-in-board-report
NVIDIA is doing this because physics simulation - long key to immersive games and entertainment - turns out to be more important than we ever thought. Physics simulation dovetails with AI, robotics and computer vision, self-driving vehicles, and high-performance computing.
It will be available as open source starting Monday, Dec. 3, under the simple BSD-3 license.
PhysX solves some serious challenges.
- In AI, researchers need synthetic data — artificial representations of the real world — to train data-hungry neural networks.
- In robotics, researchers need to train robotic minds in environments that work like the real one.For self-driving cars, PhysX allows vehicles to drive for millions of miles in simulators that duplicate real-world conditions.
- In game development, canned animation doesn’t look organic and is time consuming to produce at a polished level.
- In high-performance computing, physics simulations are being done on ever more powerful machines with ever greater levels of fidelity.
PhysX SDK addresses these challenges with scalable, stable and accurate simulations. It’s widely compatible, and it’s now open source. PhysX SDK is a scalable multi-platform game physics solution supporting a wide range of devices, from smartphones to high-end multicore CPUs and GPUs. It’s already integrated into some of the most popular game engines, including Unreal Engine (versions 3 and 4) and Unity3D.
Guru3d said:because physics simulation - long key to immersive games and entertainment - turns out to be more important than we ever thought
developer.nvidia.com/physx-source-github said:Please note: We no longer provide precompiled binaries for PhysX. Please use Github to download and build the libraries
More like shifting focuses, PhysX is an important part of GameWorks and they are constantly updating it.with featured and performance enhancements, it went from PhysX to ApeX to FleX .. But they just have a more attractive and broad feature now, RTX and DLSS. So traditional GPU PhysX on the CUDA cores is old news, even the Tensor Cores can accelerate PhysX now. So it makes sense to release the grip on it and focus on the new things.no more binaries means at least that they are heading towards abandoning PhysX.
So it makes sense to release the grip on it and focus on the new things.
They are releasing a new version of it (PhysX 4) later this month, with a focus on some professional applications, I was just trying to point out that they are far from abandoning it.The actual news was, in my humble opinion, that the library's future is now more uncertain than before. So I've tried to state that.
https://wccftech.com/nvidia-physx-goes-open-source-4-0/A new version, 4.0, is due to become available on December 20th, and according to NVIDIA it will allow ‘industrial grade simulation quality at game simulation performance’
They are releasing a new version of it (PhysX 4) later this month, with a focus on some professional applications, I was just trying to point out that they are far from abandoning it.
https://wccftech.com/nvidia-physx-goes-open-source-4-0/
Whether the company is developing and selling GPUs intended for machine learning tasks or coming up with its own AI technology (such as DLSS), it's clear that Nvidia is taking a serious interest in the future of AI.
Using real-world video footage, Nvidia managed to train an AI model to create what appears to be a living, breathing city (or a part of a city), with remarkably realistic graphics.
OK, more details on the matter, it seems the APEX part of the PhysX can not be GPU accelerated under the open source license, no details was given regarding FleX too.Yeah sure, that kinda contradicts their site which states no more binaries available for download. Wonder if that's a mistake/missunderstanding, rather?
The APEX SDK is not needed to build either the PhysX SDK nor the demo and has been deprecated. It is provided for continued support of existing applications only… The APEX SDK distribution contains pre-built binaries supporting GPU acceleration. Re-building the APEX SDK removes support for GPU acceleration.
According to NVIDIA, this new open source arrangement is being carried about because the company has discovered physics is far more important to its work than previously expected. The company writes that “Physics simulation dovetails with AI, robotics and computer vision, self-driving vehicles, and high performance computing.” These are all major fields of interest for NVIDIA