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Revenue was up 54% from last year and beat analysts' expectations by over $300 million. Nvidia used to be a little company making graphics chips for PCs, but it's well on the way to transforming into one of the leading computing platforms for cloud servers, machine learning, and artificial intelligence. Fortunately for Nvidia, it turns out that the kinds of tasks graphics chips are good at--like processing many, many simple calculations at the same time--are just what's needed to run analysis programs in a cloud data center, steer a self-driving car, or pilot an automated drone. Thursday brought more evidence that the company's successful transition is in full swing. Nvidia NVDA reported third quarter results that blew through Wall Street expectations, and its stock price, which had already doubled this year, rose another 15% in after-hours trading.


Nvidia CEO: AI is the single most powerful force of our time

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Nvidia CEO Jensen Huang said AI would drive long-term demand because it is the "single most powerful force of our time." Nvidia reported earnings and revenues that beat analysts' expectations as demand for graphics and artificial intelligence chips picked up in the second fiscal quarter. Huang also said his company's near-term growth will come from gaming and a couple of variants of the company's artificial intelligence chip business: inferencing and AI at the edge. During a conference call with analysts, Huang said artificial intelligence is the "single most powerful force of our time" and that there are more than 4,000 AI startups working with the company -- as compared to 2,000 AI startups in April 2017. In an interview with VentureBeat, Huang said the actual number of AI startups Nvidia is tracking is closer to 4,500.


Nvidia CEO: AI is the single most powerful force of our time

#artificialintelligence

Nvidia CEO Jensen Huang said AI would drive long-term demand because it is the "single most powerful force of our time." Nvidia reported earnings and revenues that beat analysts' expectations as demand for graphics and artificial intelligence chips picked up in the second fiscal quarter. Huang also said his company's near-term growth will come from gaming and a couple of variants of the company's artificial intelligence chip business: inferencing and AI at the edge. During a conference call with analysts, Huang said artificial intelligence is the "single most powerful force of our time" and that there are more than 4,000 AI startups working with the company -- as compared to 2,000 AI startups in April 2017. In an interview with VentureBeat, Huang said the actual number of AI startups Nvidia is tracking is closer to 4,500.


NVidia $NVDA Earnings Glow With Machine Learning, AI, Bitcoin & Gaming Graphics

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High-performance graphics chip pioneer NVidia reported better than expected fiscal Q3 earnings after the market close on Thursday. NVidia raised the dividend 7 percent to 15 cents a share and intends to return $1.25 billion to shareholders during the next fiscal year. NVidia consistently trumps analysts' expectations and comes just after Sony and gaming stocks Take Two Interactive $TTWO and Activision Blizzard $ATVI delivered strong earnings. Earnings: EPS $1.33 way ahead of analysts expected EPS of 94 cents on Revenue of $2.64 Billio beats expected 18% revenue growth to $2.36 billion.. "We had a great quarter across all of our growth drivers. Industries across the world are accelerating their adoption of AI." said CEO Jensen Huang in a statement What excites investors is earnings driven by strength across all product lines including, high-performance processors for data centers, artificial intelligence, digital currencies, machine learning and self-driving cars.


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Nvidia continued to see demand for its graphics processors in the emerging world of artificial intelligence in its fourth quarter earnings reported Thursday. In its fourth quarter earnings release, the Santa Clara, Calif.-based company reported revenue of $2.17 billion, up 55% year over year, on earnings per share of $1.13, up 117% a year ago. Wall Street analysts estimated $2.11 billion in revenue on EPS of 83 cents. Traditionally, the company's processors have been mostly used to power the latest gaming graphics, but the chips have become popular to run AI software in the data center and autonomous vehicles. A specific branch of AI, called deep learning, is where Nvidia's processors particularly shine.