NVDA - Nvida - Company Profile

This is the same play description I used in another newsletter but the details are the same for the longer term LEAP position.

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.

Q1 earnings rose 46% to 33 cents and beat earnings by a penny. They hiked full year revenue guidance as well as the current quarter. Tor Q2 they raised the forecast to $1.35 billion that was above analyst estimates at $1.28 billion. Gaming revenue was up 17% to $687 million but all areas of effort saw significant gains. They recently released a new graphics card that is twice as fast and 40% cheaper than the card it is 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.

Earnings August 11th.

I know we are buying the new post earnings high but Nvidia could easily be $100 by January 2018. If shares do pull back I would consider that a buying opportunity to add to your position.

Buy 2018 $50 LEAP Call, currently $7.10, no initial stop loss.

Optional

Sell short 2018 $35 put, currently $3.55, no initial stop loss.
Net debit $3.55



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