At CES 2018 Nvidia has unveiled details of its functional safety architecture for Nvidia Drive, its AI autonomous vehicle platform, which uses redundant and diverse functions to enable vehicles to operate safely, even in the event of faults related to the operator, environment or systems. The Nvidia Drive architecture enables automakers to build and deploy self-driving cars and trucks that are functionally safe and can be certified to international safety standards, such as ISO 26262.
Nvidia's big push into the world of autonomous vehicles has attracted a vast amount of customers for what is still early stage technology - over 320, by the company's count. This week at CES the company announced that it's finally making Xavier, an AI chip made for self-driving vehicles that Nvidia announced in 2016, available to customers. And the company's also adding a few marquee names to its list of self-driving technology customers, including Uber and VW.
NVIDIA made a pretty big change in its GeForce EULA recently and this is something that could go on to cost a lot of entities an aggregate of millions if not billions of dollars in the long run. The company recently updated their EULA which now prohibits datacenter deployment of their GeForce GPUs for everything but blockchain processing. Needless to say, this would force a shift to Quadro and Tesla's in any datacenters that were actually using GeForce cards or had planned to.
NVIDIA has announced plans to cease developing drivers supporting 32-bit operating systems for any GPU architecture in the near future. All NVIDIA GPU drivers published after the release 390 (due in early 2018) will only support x86-64 OSes. The decision marks an important milestone in the transition of the PC industry to 64-bit computing that has been ongoing for over a decade, but may upset some of the users who still run older machines or those that require drivers for embedded systems.
AMD's Navi has been of interest to AMD fans since it first popped up on roadmaps, with hints of a next-generation memory subsystem and a "scalability" option that might be similar to the modular GPU designs that Nvidia is supposedly considering for its own products.
It seems like Nvidia announces the fastest GPU in history multiple times a year, and that's exactly what's happened again today; the Titan V is "the most powerful PC GPU ever created," in Nvidia's words. It represents a more significant leap than most products that have made that claim, however, as it's the first consumer-grade GPU based around Nvidia's new Volta architecture.
Nvidia has gathered predictions from the world's leading researchers and industry thought leaders concerning the development of AI.
AMD reentered the high-end graphics card market earlier this year when it launched Vega, its highly anticipated attack on NVIDIA's dominance. The RX Vega 64 and RX Vega 56 caught up to NVIDIA in terms of performance, but they used far more power than comparable NVIDIA products, which had been on the market for over a year. Vega was a catch-up play from AMD, not the home run that investors were hoping for.
The giant information and entertainment screens in Tesla Inc.'s cars will be powered by new components from Intel after the automaker replaced chip supplier Nvidia for that function, according to people familiar with its plans.
Nvidia has invested in autonomous truck startup TuSimple, the graphics chipmaker revealed Wednesday. TuSimple is a two-year-old startup based in China that develops technology for autonomous long-distance freight delivery.
It is increasingly looking like the future belongs to artificial intelligence. Two of the hottest stocks in that industry are Nvidia and AMD. The strength of those stocks is largely attributable to the excitement around the artificial-intelligence capabilities of their processors.
Marketwatch.com (Dow Jones)
During California's Gold Rush, it was often the sellers of pickaxes and shovels who made the most money. In the frenzy to get rich quick from cryptocurrencies, some investors are calling computer chipmakers the modern-day equivalent.
The effects of the most recent cryptocurrency mining phase are having a direct impact on various markets, most notably on the GPU product lines from Nvidia and AMD.
Marketwatch.com (Dow Jones)
While Nvidia and Intel are busy sparring for glory as innovators of fully autonomous vehicle platforms, Texas Instruments, focused on ADAS, has kept its profile low.
SoftBank has quietly amassed a $4 billion stake in Nvidia making it the fourth-largest shareholder in the graphics chipmaker, according to people familiar with the situation.
Samsung Electronics is seeking to increase high-performance DRAM chips for AI processors and servers by more than 30-fold and supply the chips first to key clients Intel and Nvidia, multiple industry sources told ET News on May 30.
Nvidia revealed Wednesday at its GPU Technology Conference that Toyota will use Nvidia's Drive PX AI automotive platform to power advanced autonomous driving systems planned for market introduction.
When Nvidia makes investments in AI startups, it's probably a good idea to sit up and take note: The GPU maker has essentially enabled modern AI in many ways, and so it's probably seen the gamut of potential applications of its technology over the years, and should know better than most what's likely to work out and what isn't. Six new companies have garnered not only attention, but funding from Nvidia, via its GPU Ventures investment arm.
here's a lot of buzz around virtual reality (VR) right now and its potential to transform how we interact with technology and video content and as a catalyst for an entirely new computing platform, as Facebook CEO Mark Zuckerberg has suggested.
4K streaming is the future of TV and a number of content providers have started to offer 4K content, allowing users to take advantage of their 4K TVs. There are, however, a number of other pieces to the puzzle - including streaming devices like the Nvidia Shield TV, and services like Google Play Movies and TV.
IBM said it will offer the latest Nvidia GPU, the Tesla P100, in the IBM Cloud as it aims to grab artificial intelligence, machine learning, and high performance computing workloads.
It looks like we missed out on an Nvidia SHIELD Portable 2. The unreleased device was submitted to the FCC for regulatory certification last year with a 180-day confidentiality request. Those 180 days are now up, so the device has surfaced on the FCC website - but is unlikely to ever surface in stores.