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Hunter ChangSenior Analyst
Ezequiel LinaresSenior Analyst
Ishaan MadanJunior Analyst
Samuel KimJunior Analyst
May 2016
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A secular trend away from CPU (central processing unit) marks the “retirement of Moore’s Law”, and a shift in the semiconductor industry towards the burgeoning demand for GPU chips (graphics processing unit). Sectors ranging
from AI to sports VR are on the verge of being fully dependent on GPU chips.
S&P 500: NVDA
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AgendaI. Investment Thesis
II. Industry Overview
A. Market Drivers
B. Competitors
III.Company Overview
A. Company Background
B. Revenue Background
C. Catalysts
D. Risks
IV. Valuation
A. Comparable Company Analysis
B. Discounted Cash Flow Analysis
V. Conclusion
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Investment Thesis1Yr Price Target: $126.03
1. Upcoming Partnerships
NVIDIA is currently undervalued at $103.47 a share. Our recommendation is to buy and holdfor at least 18 months in order for the the market to adjust to reach the $126 price target (20% upside).
NVIDIA has recently secured partnerships with Facebook and IBM to make AI available to both developing businesses and consumers.
1. Apple also recently dropped Qualcomm and is in search of a GPU provider.2. AMD’s revenue and market control has been steadily declining for the past 5 years and
released a 7.5% drop in revenue in their May 1st earnings report.2. Competition Struggling
The efficiency of a GPU is unparalleled when compared with market-standard CPU. Secular market shift will be recognized by businesses and consumers and realized in the market in the short term.
3. Secular Market Shift
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CPUsProduct Description
Single-function processing units, implemented in almost every top-of-the-line computer and smartphone. Old
technology- limiting advances in industry.
Intel - 79.80%
AMD - 20.20%
GPUsProduct Description
Parallel-function processing units, becoming extremely relevant in virtual reality, artificial intelligence, and
predictive analytics.
Top Players
NVIDIA - 70.5%
AMD - 29.5%
Semiconductor Industry - $335.0 Billion
5
Industry Overview
Figures from WCCFTech
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Market Drivers
Growth of VR products in both the commercial and sports industry
Major advances in AI and Machine Learning
Increased demand for autonomous vehicles
GPU
s
NV
IDIA
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Market Cap
$12.52B
$62.01B
$79.40B
Description• Founded in 1969• Specializes in consumer computer CPUs and GPUs
• Few entry-level server solutions
• Founded in 1993• Specializes in GPUs for big data processing and AI training
• Top-notch graphics cards for consumer gaming
• Founded in 1985• Specializes in hand-held CPUs and GPUs
• No presence in AI or big data processing
Big Partners
AcerHPDell
IBMSamsung
VW GroupFacebook
AsusTesla
GoogleCiscoDell
SamsungLG
Sony
HTCGoogle
Motorola
Competitors
Figures from Yahoo Finance
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Company Background● NVIDIA specializes in high-power Graphics Processing Units
(GPUs), for both Big Data computation and consumer usage.
● It stretches across multiple markets, including supercomputing
(NVIDIA Tesla), GPGPU system infrastructure management, top-
notch graphics cards for consumer PCs, and artificial adaptive
analytics, including machine learning and autonomous vehicles.
NVIDIA’s founder and CEO, Jensen Huang, has
led the company to $6.91 billion in 24 years of
operation.
NVIDIA’s CFO, Colette Kress, has 13 years of CFO
experience at Microsoft, along with 3 years of CFO
experience at Cisco, before coming to NVIDIA in
2013.Figures from the NASDAQ and NVIDIA
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Gaming
$4.1B (59.3%)Graphics Cards and processors for
consumer gaming consoles/PCs
Data Centers/Cloud Computing$830M (12%)
Hard/Software used in Data Centers to create AI-fueled computation
Automotive
$127M (1.8%)Autonomous driving chipsets used in next-
generation automobiles and trucks
Professional Visualization$189M (2.7%)
Processors (mainly GPUs) available for use over the internet, licensed by big data
companies9
Revenue Breakdown
Figures from NVIDIA’s FY2017 Q4 10-K
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Qualcomm’s partnership with Apple recently fell through leaving Apple with a newfound demand for a GPU supplier.
NVIDIA is announcing a partnership with Facebook, and releasing their quarterly earnings at their GPU conference from May 8th-11th. The partnership is to build an open-
source deep learning framework.
IBM looking to use NVIDIA chipsets (GPGPU-Tesla) in their cloud network for AI learning and computing
(IBM’s cloud is used by 47 of 50 Fortune 500 companies).
Catalysts
20% upside of NVDA stock in the next 18
months
Information from NVIDIA, PCWorld
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RisksRisks
Competition
Google rumored to enter GPU
market for self sustenance
Intel beginning production of GPU chips for
gaming community
AMD is rumored to release their
VEGA GPUs for consumer
use
Applicationof GPUs
Ubisoft (Pascal GPU)VW GroupTesla Motors
(DRIVE)
Info from PCWorld, WIRED
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Company Market Cap EV/EBITDA Forward P/E BETA PEG P/BV
NVIDIA $62.01 27.28 30.86 1.48 3.14 10.59
AMD $12.52 -52.15 45.86 3.08 -1.73 29.62
Qualcomm $79.40 9.2 11.46 1.51 1.08 2.53
Intel $170.54 7.74 12.38 1.11 1.64 2.55
Median $70.71 8.47 21.62 1.50 1.36 6.57
Mean $81.12 -1.98 25.14 1.80 1.03 11.32
Comparable Company Analysis
Figures from NYU Stern, Yahoo Finance
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Discounted Cash Flow Analysis
Revenue Growth Rate: 20%Cost of Sales % Margin: 40%
Figures from SEC 10-K, NYU Stearn, Yahoo Finance
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Discounted Cash Flow Analysis (Cont.)
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Discounted Cash Flow Analysis (Cont.)
Bearish Case: ($119.63)(14% Upside)
WACC: 10.6%Perpetuity Growth: 2.9%
Base Case: ($125.92)(20% Upside)
WACC: 10.3%Perpetuity Growth: 3%
Bullish Case: ($145.51)(38% Upside)
WACC: 9.4%Perpetuity Growth: 3.1%
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Conclusion
GPU chips are the future of computing technology.
NVIDIA presently has major leads in supercomputing, AI, GPGPU infrastructure management, VR and automotive technologies.
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Appendix A
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Appendix B