Editors Note:

The chip sector pulled back from a historic high on October 10th and could be ready to rebound again. Intel reported and beat on earnings but guidance was disappointing. When you want to invest in semiconductors you need to go with the best and that is Nvidia.



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NVDA - Nvidia - Company Profile

NVIDIA Corporation operates as a visual computing company worldwide. It operates in two segments, GPU and Tegra Processor. The GPU segment offers processors, which include GeForce for PC gaming; Quadro for design professionals working in computer-aided design, video editing, special effects, and other creative applications; Tesla for deep learning, accelerated computing, and general purpose computing; and GRID for cloud-based streaming on gaming devices. The Tegra Processor segment provides processors that integrate a computer onto a single chip under the Tegra brand name; DRIVE automotive computers, which offer supercomputing capabilities; and tablet and portable devices for mobile gaming under the SHIELD name. The company's products are used in gaming, professional visualization, datacenter, and automotive markets. It sells its products primarily to original equipment manufacturers, original design manufacturers, system builders, motherboard manufacturers, add-in board manufacturers, and retailers/distributors. Company description from FinViz.com.

Q2 earnings rose 800% to 40 cents and beat estimates for 37 cents. Revenue of $1.43 billion beat their own guidance of $1.35 billion they gave in Q1. Earnings in the year ago quarter were 5 cents and $1.15 billion. They hiked full year revenue guidance as well as the current quarter. They guided for Q3 revenue of $1.68 billion and analysts were only expecting $1.45 billion. During the first six months of 2016, they bought back $509 million in shares and paid $124 million in dividends. The company had $4.88 billion in cash at the end of Q2.

Earnings Nov 10th.

They recently released several new graphics cards that are twice as fast and 40% cheaper than the cards they are replacing.

Nvidia's Graphics Processing Units or GPUs have become more than just video chips. They have become supercomputing processors and can be packaged in large groups to parallel process monster datasets and computations that would have taken weeks with conventional chips. They are truly revolutionizing the processor industry.

The focus on Artificial Intelligence or AI, a lot of companies like Google and Amazon are turning to GPUs to handle the monster amounts of data they collect every day. Facebook already uses Nvidia M40 GPU accelerators to power its Big Sur machine learning computers. Those NVIDIA GPUs were specifically designes to train deep neural networks for enterprise data centers, and the company says they are 10-20 times faster than other network computers. Nvidia said their GPD powered machine learning computers can help train networks new things in just a few hours that would take days or weeks with less powerful systems.

The new P100 GPU is 12 times faster than the prior version and can provide more performance than "several hundred computer nodes" and up to eight P100s can be interconnected to provide previously unheard of computing power. The chips in the GPUs contain more than 15.3 billion transistors each and the largest chip ever built at 16 nanometer technology. That is twice as many as on Intel's biggest chips. The P100 delivers more than 10 teraflops of performance. One teraflop can process one trillion floating-point instructions per second and the P100 can do 10 teraflops or 10 trillion calculations per second.

The COSMOS weather forecasting application runs faster on the P100 than the 27 servers, running twin multicore processors each that were previously tasked with the project. Intel makes commodity processors for the millions of PCs and servers in the world. Nvidia is light years ahead of Intel in technology. Nvidia's data center revenue increased 63% in Q1.

On September 28th, Nvidia announced a new AI supercomputer chip called Xavier, which is designed for self-driving cars. The system-on-a-chip (SoC) integrates a new Graphics Processing Unit or GPU called Volta and a custom 8 core CPU along with a new computer vision accelerator. The processor will deliver 20 trillion operations per second while consuming only 20 watts of power. Nvidia already provides chips to Audi, BMW, Honda, Mercedes, Tesla and Volvo. On August 31st Nvidia and Baidu (BIDU) announced a partnership to make an autonomous car platform. Also today, the company announced a partnership with TomTom to develop artificial intelligence to create a cloud to car mapping system for self-driving cars.

Update 9/30/16: Bloomberg had a blurb earlier in the week saying Nvidia was hiring Apple engineers to work on new graphics for the Apple product line. Apple has always relied on imbedded Intel graphics chips but with the new demand of video editing and VR, that is no longer an option. They are going to have to upgrade to a more powerful video interface. That would be a big win for Nvidia and they would not be hiring Apple engineers unless there was some announcement coming.

On October 3rd, Amazon announced a new P2 instance for the Amazon Elastic Compute Cloud (Amazon EC2). The VM machines are powered by 16 Nvidia Tesla K80 GPUs. They also include up to 64 vCPUs with up to 732 Gb of host memory. These instances offer up to 60 times the processing power of prior P2 instances.

Nvidia is the Intel of the future.

Nvidia shares have been stair-stepping higher since January. They peaked at $69.70 on October 4th. When the stock rolled over on the 6th we were stopped out of a prior position. Nvidia has a habit of surging $5-$7 then resting for a couple weeks. The decline from the October 4th peak touched $63.70 on the 13th and shares have been moving sideways with a slight upward bias. I think they could be getting ready for another move higher as we head into earnings.

I am a firm believer that Nvidia will beat on earnings. I am going to recommend that we hold over the event but I will give everyone fair warning a couple days before so you can make your own decision.

Buy Dec $70 call, currently $2.57, stop loss $62.85


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