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   Technology StocksNVIDIA Corporation (NVDA)

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From: JakeStraw9/14/2018 9:15:36 AM
2 Recommendations   of 1662
Nvidia shares rise after analyst says 'dominance' in machine learning spells even more upside
Needham hikes its price target and earnings estimates on Nvidia, sending shares prices higher.
Analyst Rajvindra Gill's new price target of $350, up from $325, implies 29 percent upside over the next 12 months from Thursday's close.
The analyst said Nvidia's new TensorRT Hyperscaler Platform should yield greater market share in artificial intelligence, the tool needed for computers to draw conclusions — or inferences — based on machine learning (ML).

"We see striking parallels between NVIDIA's dominance in artificial intelligence / ML and the 'Wintel' platform during the era of PC computing," Gill wrote. Wintel refers to the pre-eminence of Microsoft's Windows and Intel during the rise of the PC-desktop revolution.

"As these neural networks get bigger in size, the use cases expand exponentially and the demand for maximum throughput and server utilization becomes even more vital," he added.

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From: Glenn Petersen9/14/2018 10:06:29 AM
1 Recommendation   of 1662
How Nvidia is using its autonomous car platform to drive into health care

Khari Johnson
September 13, 2018 1:49 PM

Nvidia is using the underlying architecture of its Drive autonomous vehicle platform to enable product development in other verticals with AI systems that deal with vast amounts of critical data, such as video surveillance, robotics, and health care.

Called Project Maglev, the initiative to transfer the data framework to industries beyond autonomous vehicles started roughly 18 months ago, Nvidia VP of AI infrastructure Clément Farabet told VentureBeat in a phone interview.

“It’s [Maglev] being used to support other applications we have, mostly around medical imaging, and health care,” he said. “Another big effort around video surveillance for smart cities, and these other product teams are also building their AIs on top of the same platform.”

To deal with large amounts of data, Maglev uses semi-autonomous methods to collect and label data in in order to scale data-intensive initiatives and is currently only being used internally at Nvidia.

Farabet also spelled out the details of Project Maglev today at Facebook Scale, a conference about rapid tech deployment being held this week in San Jose.

The Drive platform provides end-to-end services for autonomous driving initiatives. It factors in a range of inputs from radar, lidar, and other vision systems to Nvidia’s Xavier hardware or Pegasus software for autonomous vehicles.

Each car involved with the Drive platform can produce up to a petabyte of data every week from sensors inside and outside a vehicle. Nearly 1,500 human people are involved in the data-labeling process for the Drive platform, and they label 20 million objects a month. Maglev utilizes Drive’s data architecture to coordinate actions between a number of neural networks and manage the “complete and total explosion of test cases” encountered when trying to build a safe and reliable autonomous driving system.

“A lot of the base infrastructure to manipulate or manage large-scale datasets, get them prioritized for labeling, get them labeled, push the results into training and testing — these things are quite agnostic and common to anyone developing AI applications,” he said. “What self-driving cars really brought to this project is pushing us to solve that problem not just for benefits of, say, 10 terabytes but push that all the way up to hundreds of petabytes. So we believe that it’s really going to be Nvidia’s solution to scale to essentially help solve large problems for AI.”

These Maglev details emerge less than a day after the start of Nvidia’s GTC conference in Japan, where CEO Jensen Huang unveiled the TensorRT Hyperscale services and Tesla T4 GPU chip, both made specifically for the inference of AI models.

Nvidia also debuted its Clara platform for medical hardware and software, as well as robotics partnerships with companies like Canon and Yamaha.

The new inference engine and T4 have also been used to drive inference for Maglev initiatives, Farabet said.

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From: JakeStraw9/24/2018 9:17:58 AM
   of 1662
Bank of America says Nvidia is a 'top' pick due to the big upgrade opportunity for its gaming cards

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From: JakeStraw9/28/2018 9:47:18 AM
   of 1662
Evercore ISI hikes Nvidia price target to $400, a Street high on chipmaker's A.I. leadership
"NVDA continues to make a compelling case for long-term sustainable growth across all segments with a specific focus on large industry verticals including Gaming, HPC, Pro Visualization, Transport, Healthcare, and Autonomous Machines," analyst C.J. Muse said in a note to clients Friday. "Very importantly, we view Nvidia as being on the cusp of a tipping point in the company becoming the AI standard platform."

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To: JakeStraw who wrote (1624)9/28/2018 4:30:43 PM
From: OrionX
   of 1662
" compelling case"

What's the compelling case for a stock trading at PE of 40 and 15x revenues? I'd really like to understand the logic behind this kind of recommendation.

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From: Alejandroo Green10/3/2018 9:18:37 AM
1 Recommendation   of 1662
On watch for clear above 292.76.

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From: Intel804210/11/2018 10:47:04 PM
1 Recommendation   of 1662
I'm looking for some connection between Nvidia and Ambarella. AMBA is a fabless semiconductor designer of high definition system on a chip (SoC) cameras. They became involved with computer vision chips when they purchased a small Italian company, VisLab, that was already working on a test vehicle to showcase the value of their vision sensors. VisLab and Ambarella satisfactorily demonstrated the test vehicle in Italy shortly after this year's CES.

Why looking for a connection between mighty Nvidia and mite Ambarella? Ambarella CEO Fermi Wang and CTO Les Kohn have a good reputation in the valley, so I have read, for producing new and useful chips. In July or early August the began sampling their CV2 chip, the chip most suited to handling the vision sensing functions of an autonomous auto.

Although Nvidia receives all kinds of praise for their use of large arrays of their graphics processing units to provide the Artificial Intelligence functions needed for the autonomous auto, I have seen very little said about what they use to supply the sensor information that is fed to the AI. You read of the use of RADAR, and LIDAR, and unnamed other sensors that may include high quality, high resolution camera chips.

The connections? First, during their 2nd Quarter conference call Morgan Stanley analyst Joseph Moore tried to get some specifics on the reception that the CV series was receiving. This passed between Moore and Fermi:

Fermi Wang

Today with the CV2 and CV22, we are really providing a perception solution for those customers and being well received, and I will say that we have several very serious engagements in this autonomous vehicle category right now. And I also want to add another point, which is in the front camera ADAS category, where Nvidia is not now there, I think our main competitor is really Mobileye. And in fact, in order to accelerate the time to market, we kind of focus on customer and partners that are developing their own algorithms.

Joe Moore

And then just to clarify that, I mean the perception module that you are talking about, I mean you actually in some cases could be sitting alongside in video and complementing the functionality of Nvidia solution?

Fermi Wang

That’s correct. In fact, I think some of our engagement is in that kind of category.


Four weeks later, Ambarella presents at a Morgan Stanley technical conference. I have no recording or transcript of the presentation. AMBA officials also talk directly with Moore. After the conference, Moore pens a report in which he names the four semis most likely to benefit from autonomous autos. One of the four is Nvidia. Another is Ambarella, which is also designated to be the one with the most upside. Moore, in the note to clients summing up the conference and the selection of AMBA, states the following:

We expect Ambarella to win business complementing Nvidia solutions, with the main GPU (graphics processing unit) offloading image resolution and perception tasks to the specialized chip," Moore said.

Did someone from Ambarella finally say something specific to Moore about interest in their CV series? And more specifically about Nvidia interest?

One other note. Moore is not the only respected analyst to be high on Ambarella. (Most have given up on them.) Matthew Ramsay, a five star Tipranks analyst (I don't know how well Tipranks is regarded.), on moving over to Cowens in September, named Ambarella as one of his four best plays in semiconductors.

The importance of my search is simply that any announcement of an acquisition, partnership or other relationship between Nvidia and Ambarella would see AMBA's depressed stock price double in a day and a half.

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From: JakeStraw10/18/2018 1:59:08 PM
   of 1662
NVIDIA was upgraded by analysts at Goldman Sachs Group Inc from a "buy" rating to a "conviction-buy" rating.

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From: Sam11/15/2018 6:13:00 PM
   of 1662
Nvidia has a Pascal problem, and its stock is plunging after earnings
MARKETWATCH 5:54 PM ET 11/15/2018

Symbol Last Price Change
202.39 +5.49 (+2.78%)
QUOTES AS OF 04:05:45 PM ET 11/15/2018

Quarterly gaming sales lower than expected as Turing launches, Nvidia(NVDA) says it has too many Pascal-based cards in inventory

Nvidia Corp. (NVDA) shares plunged in the extended session Thursday after the chipmaker's earnings and outlook fell short of Wall Street estimates and a cratering in cryptocurrency sales helped build up an excess inventory of older gaming chips.

Nvidia (NVDA) shares plunged 18% after hours, following a 2.6% rise to close the regular session at $202.39. Nvidia(NVDA) shares had already declined 21.9% in the past three months, as the PHLX Semiconductor Index has declined 7.4% and the S&P 500 index dropped 4.1%.

"Gaming revenue was short of our expectations, and our fourth-quarter outlook is impacted by excess channel inventory of midrange Pascal products," Nvidia(NVDA) Chief Financial Officer Colette Kress said in a statement. "We believe this is a near-term issue that will be corrected in one to two quarters, and remain confident in our competitive position and market opportunities."

Gaming revenue rose 13% from a year ago to $1.76 billion, but that was way below the Wall Street consensus of $1.91 billion.

On the call, Kress said that the quarter "included a $57 million charge for prior architecture components and chips following the sharp falloff of crypto mining demand."

Ever since last year's peak in cryptocurrencies like bitcoin , more and more miners have sold off their mining rigs, meaning there has been a flood of second-hand Pascal gaming chips and gaming chips from companies like Advanced Micro Devices Inc. (AMD) on the market.

Nvidia (NVDA) explained that it is holding on to too many of its older-generation Pascal chips -- Pascal is the chip architecture that is being replaced by Nvidia's(NVDA) recently released Turing chip architecture for professionals (http:// gamers (

That wreaked havoc with Nvidia's(NVDA) forecast for the fourth quarter as it seeks to work down that inventory. The company called for revenue of $2.65 billion to $2.75 billion, while analysts on average had expected revenue of $3.4 billion.

For the third quarter, the company reported net income of $1.23 billion, or $1.97 a share, compared with $838 million, or $1.33 a share, in the year-ago period. On a fully adjusted basis, which strips out stock compensation, earnings were $1.84 a share. Analysts on average expected Nvidia(NVDA) to report GAAP earnings of $1.71 a share and adjusted earnings of $1.93 a share.

Revenue rose to $3.18 billion from $2.64 billion in the year-ago quarter. Wall Street expected revenue of $3.24 billion from Nvidia(NVDA).

Data-center sales rose 58% to $792 million, while the Street expected $819 million. Professional visualization sales rose 28% to $305 million against the Street's estimate of $282 million. Auto sales rose 19% to $172 million, while analysts expected, and OEM & IP revenue fell 23% to $148 million against the Street's $116 million estimate.

More: The Turing test has arrived for Nvidia(NVDA) ( arrived-2018-11-12)

Of the 35 analysts who cover Nvidia(NVDA), 24 have buy or overweight ratings, 10 have hold ratings and one has a sell rating, with an average price target of $285.94.

-Wallace Witkowski; 415-439-6400;

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To: Sam who wrote (1629)11/16/2018 7:51:52 AM
From: Lou Weed
   of 1662
Ouch - glad I didn't start a position in the upper 180s earlier this week. Will hold on for a few trading days to see what happens. I wonder if this is a canary in the coal mine for a lot more pain for the overall sector going forward? I keep hearing the term "stuffed channel" - sounds like a tariff related dynamic. Buckle up folks!


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