|Bid||245.38 x 1200|
|Ask||245.43 x 800|
|Day's Range||240.25 - 245.85|
|52 Week Range||136.44 - 260.50|
|PE Ratio (TTM)||40.81|
|Earnings Date||Aug 8, 2018 - Aug 13, 2018|
|Forward Dividend & Yield||0.60 (0.24%)|
|1y Target Est||250.42|
Today on Tech Howl, we're talking about the OnePlus 6, how doctors and researchers are using AI and machine learning to improve healthcare and Nvidia teaching robots how to follow human directions.
Shares of Micron (MU) opened lower on Wednesday after two days of gains on the back of some major announcements, including a new deal with Intel (INTC). With that said, let's dive into why the chip giant's stock might be worth buying right now.
My interest is in what the OpenStack Foundation (OSF), its members, and the users are doing to provide solutions for applications. As one of my focuses is in machine learning (ML), a presentation Monday afternoon was of particular interest. Sylvain Bauza (@sylvainbauza), a Senior Software Engineer at Red Hat, spoke about a project in OpenStack Nova.
With nothing more than a quick glance at the headlines, one might conclude it’s just another case of the analyst community playing a game of “chicken,” with NVIDIA Corporation (NASDAQ:NVDA) serving as the proverbial guinea pig. Who’s willing to set the highest target price for NVDA stock. Cowen analyst Matthew Ramsay is the current leader of that contest, by the way, raising his target to $325 per share last week.
Intuit (INTU) reports better-than-expected top- and bottom-line figures for third-quarter fiscal 2018 on the back of a stellar tax season.
At its Investor Day 2018, NVIDIA’s senior vice president of Enterprise Business, Shankar Trivedi, stated that revenues from NVIDIA’s Data Center segment have grown from just $340.0 million in fiscal 2016 to $1.9 billion in fiscal 2018. Growing demand for accelerated computing and applications encouraged NVIDIA to increase its data center TAM (total addressable market) from the previous estimate of $30.0 billion by 2020 to $50.0 billion by 2023. This $50.0 billion TAM would primarily come from its three major segments of HPC, Hyperscale and Consumer Internet, and Cloud and Industries.
Many hedge fund managers make money by identifying undervalued companies and investing in them before they grow more successful. If the price of the company goes down as expected the hedge fund then makes money off of the bet. Goldman Sachs has recently released a list of companies that hedge funds are short selling the most as part of its latest "Hedge Fund Trend Monitor," according to CNBC.
The two major growth opportunities for NVIDIA (NVDA) in the data center space are training and inferencing. The company is looking to ease the adoption of AI (artificial intelligence) across various industries, and robotics is one vertical that can help it bring AI to the edge.
NEW YORK, NY / ACCESSWIRE / May 23, 2018 / U.S. markets fell Tuesday on geopolitical concerns after President Trump stated he was not happy with the current U.S. – China trade talks. The Dow Jones Industrial ...
At GTC 2018 (GPU Technology Conference), NVIDIA unveiled two new deep learning platforms: Clara for medical imaging and ISAAC for robotics. At GTC 2018, NVIDIA unveiled Clara, a new AI (artificial intelligence) platform for virtual medical imaging.
Don't lament over stocks you missed out on. These three investors have identified stocks that will have you forgetting what could have been.
Ryan McQueeney continues his three-part series on artificial intelligence by discussing specific strategies for investors interested in AI. This week, the hosts focuses on gaining limited exposure by buying mega-cap tech stocks that have added AI to their business models.
Self-driving cars are one of the hottest spaces in the technology sector in 2018 and, not surprisingly, that's translating into some equally hot price action in the companies behind the tech. As I write, scores of technology and automobile companies are scrambling to develop advanced autonomous vehicle programs before their rivals have a chance to bring them to market. Leading things off is chipmaker Nvidia Corp.
The world's largest tech companies are spending aggressively to widen their leadership positions. Look out world.
Rapid adoption of artificial intelligence could help propel the GPU leader's data center revenue up to $50 billion by 2023.
NVIDIA (NVDA) is expanding beyond hardware to provide a complete AI (artificial intelligence) ecosystem that includes algorithms and software. At the GTC 2018 (GPU Technology Conference), NVIDIA’s CEO, Jensen Huang, announced several hardware and software solutions for AI, gaming, and auto. The company also announced new platforms for industry verticals such as healthcare and manufacturing.
The two rounds of meetings between the United States and China's high level delegates have prevented trade related tensions from escalating.
NVIDIA (NVDA) has converted from a chip company to a full stack computing company specializing in GPU (graphics processing unit) accelerated computing. NVIDIA was founded by Jensen Huang, Chris Malachowsky, and Curtis Priem in 1993 with an aim to offer high-end PC graphics solutions.
David Tepper, the billionaire founder and head of Appaloosa Management, had a busy first quarter. One of the most noteworthy companies that Tepper invested in for the first time in Q1 was Wells Fargo & Co. ( WFC). Texas-based data analytics company Alerian MLP ( AMLP) was another prominent new position in Appaloosa's portfolio during this period.
We all know NVIDIA (NVDA) as a chip supplier and leader in the discrete GPU (graphics processing unit) market. However, NVIDIA’s CEO, Jensen Huang, describes NVIDIA differently.
U.S. tech companies can finally breathe easy, at least for the time being. U.S. Treasury Secretary Steve Mnuchin on Sunday said that the U.S.-China trade conflict has been put on hold. This certainly is good news for U.S. tech companies, particularly chipmakers, which have been reeling under pressure since the two countries sparked fears of a trade war by imposing tariffs and counter tariffs on imports from the two countries.