1. NVIDIA Overview and Development History
Company Introduction
NVIDIA is a globally leading semiconductor technology company headquartered in Santa Clara, California, USA, renowned for its advanced graphics processing units (GPUs) and artificial intelligence technology. Founded in 1993 by American-Chinese entrepreneur Jensen Huang and two others, NVIDIA initially focused on designing GPUs for gaming and professional markets. Over time, NVIDIA expanded its business scope and applied its technology to fields such as virtual reality and deep learning. NVIDIA's GPUs possess efficient parallel processing capabilities, making them ideal for handling large amounts of data and complex calculations.
They are widely used in gaming, design, engineering, scientific computing, data centers, and play a significant role in deep learning training and inference, driving the development of artificial intelligence. In addition to its GPU business, NVIDIA actively expands into other areas such as autonomous driving, robotics, and healthcare.
Development History
| Rise: From NV1 to GeForce, Leading the GPU Industry
In April 1993, Jensen Huang, along with engineers Chris Malachowsky and Curtis Priem, founded NVIDIA with the goal of accelerating 3D graphics rendering in electronic games. Two years later, NVIDIA launched its first multimedia accelerator NV1 for gaming consoles, but the market shifted to personal computers with the introduction of Windows 95 and DirectX standards.
NVIDIA adapted by focusing on the RIVA128 graphics processor, which surpassed competitors in efficiency and price, gaining popularity among OEMs. By 1999, NVIDIA went public and introduced the GeForce 256, marking its dominance in the industry after acquiring 3Dfx.
| Challenge: Facing Microsoft and Intel
NVIDIA's attempts to establish itself in the PC market led to collaborations with Microsoft for the Xbox, but conflicts arose over pricing and quality issues, causing NVIDIA to lose orders to ATI. Additionally, Intel's support for ATI further affected NVIDIA's market share and stock price.
| Turning Point: From CUDA to the Rise of Artificial Intelligence
Despite setbacks, NVIDIA introduced CUDA technology in 2007, enabling general computing on GPUs and achieving success in high-performance computing. Amidst the rise of artificial intelligence, NVIDIA's GPUs became pivotal in deep learning breakthroughs, driving its data center business forward and solidifying its role in various industries.
| Summary of NVIDIA's Development Experience
· Focus on Technological Innovation: NVIDIA has consistently focused on technological innovation, continuously releasing leading-edge graphics processors and related products to meet market demands.
· Grasping Market Trends:NVIDIA has demonstrated the ability to grasp market trends in a timely manner, shifting its focus from gaming consoles to personal computers and GPUs, thus achieving rapid growth.
· Valuing Partnerships:NVIDIA has established close partnerships with gaming manufacturers, computer manufacturers, and others to jointly promote product development and marketing.
· Continuous Investment in R&D: NVIDIA has invested significant resources in research and development over the long term, maintaining its technological leadership and providing strong momentum for the company's development.
· Strategic Acquisitions:NVIDIA has strategically acquired companies like 3Dfx, integrating resources to further expand market share and consolidate its industry-leading position.
These experiences have enabled NVIDIA to stand out in the fiercely competitive semiconductor industry, making it one of the world's leading technology companies.
2. Investment Advantages of NVIDIA
· Technological Leadership: NVIDIA is at the forefront of GPU technology, with its products widely used in gaming, data centers, artificial intelligence, and other fields. With the continuous development of AI and big data applications, NVIDIA has broad market prospects.
· Outstanding Performance: NVIDIA has demonstrated excellent performance in recent years, achieving significant growth in both revenue and net profit. Moreover, based on its annual financial reports, NVIDIA maintains a low debt-to-asset ratio, indicating strong financial health and resilience to risk.
· Growth Prospects: The rapid development of artificial intelligence, gaming, and data centers will bring more opportunities for NVIDIA. The company continuously strives to introduce new products and technologies to meet market demands and maintain its competitive edge, making its future development prospects promising.
· Innovation:NVIDIA has always been a leader in technological innovation, continuously launching new products and technologies such as H200 and DGX. These products and technologies contribute to maintaining the company's leading position in future market competition.
· Stock Repurchase: NVIDIA has conducted significant stock repurchases in recent years, indicating the company's confidence in its future development. Stock repurchases reduce the number of outstanding shares, increase earnings per share, and enhance shareholder value.
· Diversified Operations: NVIDIA continuously expands its business areas, extending its market from AI accelerator chips to high-performance CPUs, data processing, and Mellanox InfiniBand+Ethernet networks, among others. Diversification helps NVIDIA reduce operational risks and enhance profitability.
3. NVIDIA's Weaknesses and Investment Risks:
High R&D Costs: Continuous investment in research and development may strain NVIDIA's finances if new technologies don't yield expected returns.
Supply Chain Complexity: The semiconductor industry's intricate supply chain exposes NVIDIA to risks like material shortages and production delays.
Intense Competition: NVIDIA faces fierce competition from both established companies and startups in the semiconductor market.
Rapid Technological Changes: The fast pace of technological advancements in the semiconductor industry poses a challenge for NVIDIA to keep up and adapt.
Market Dependency: NVIDIA's revenue is tied to specific markets like gaming and data centers, making it vulnerable to shifts in demand or market dynamics.
4. NVIDIA's Significant Milestones (2019-2023) Stock Price Movement
Key Events for NVIDIA (2019-2023)
Years |
Events |
Stock Price |
2019 |
On December 17th, NVIDIA launched the advanced software-defined platform DRIVE AGX Orin designed for autonomous vehicles. |
58 USD per share |
2020 |
On April 27th, NVIDIA completed the acquisition of Mellanox for $7 billion. |
72 USD per share |
2021 |
On August 26th, NVIDIA announced the acquisition of DeepMap, a developer of high-definition maps for autonomous driving cars. |
220 USD per share |
2022 |
On January 11th, NVIDIA announced the addition of Bright Computing to its portfolio. |
268 USD per share |
2022 |
On March 7th, NVIDIA announced the addition of storage solutions provider Excelero to its portfolio. |
224 USD per share |
2023 |
On May 29th, NVIDIA launched the DGX GH200 AI supercomputer. |
395 USD per share |
2023 |
On November 13th, NVIDIA officially announced a major upgrade to its most powerful AI (Artificial Intelligence) chip, the H100, unveiling the new generation H200 chip. |
487 USD per share |
Stock price movement chart of NVIDIA from 2019 to 2023.
This chart shows the fluctuation of NVIDIA's stock price from 2019 to 2023. Notably, Tesla's stock price surged nearly 8 times during this period, showcasing the potential of compounding growth in stocks and affirming the validity of value investing theory.
Value investors use fundamental analysis and economic cycle research to assess a company's intrinsic value. When a company's market price falls significantly below its intrinsic value, value investors see it as undervalued and an opportunity for profit. Many successful investors, including Warren Buffett, follow the value investing strategy.
5. Investing in NVDA on uSMART:
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How to place a trade on uSMART mobile application To invest in NVDA on uSMART SG App, navigate to the "Market" section at the bottom of the page. Then, search for the keyword "NVDA" at the top of the page and click on it. Next, click on "Trade" at the bottom right corner, select the "Buy/Sell" function, and enter the stock price, quantity, and trading conditions before submitting the order. Alternatively, if you prefer the "Smart Order" function, simply select the type of smart order.
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