NVIDIA (NVDA): Must-Buy Stock in the AI Era

Generated from prompt:

stock pitch for NVDA

This presentation pitches NVIDIA (NVDA) as an essential investment, covering company history, GPU and AI innovations like GeForce RTX and DGX systems, 92% market dominance, record $5T valuation milestones, and a strong buy thesis fueled by AI data中心s

February 22, 202616 slides

Slide 1 of 16

Slide 1 - NVIDIA (NVDA) Stock Pitch

Why NVDA is a Must-Buy in the AI Era

Dominating GPUs, AI, and High-Performance Computing

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Slide 2 of 16

Slide 2 - Presentation Agenda

Company Overview
Products and Innovations
Market Dominance
Financial Milestones
Investment Thesis

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Slide 3 of 16

Slide 3 - Company Overview

Company Overview

Leader in Graphics Processing Units (GPUs) and AI Technologies

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Slide 4 of 16

Slide 4 - Founding and Evolution

Founded in 1993 by Jensen Huang, Chris Malachowsky, and Curtis Priem
Headquartered in Santa Clara, California
Initially focused on GPUs for video gaming
Expanded into AI, professional visualization, supercomputing, automotive
Recognized as a Big Tech company

Source: https://en.wikipedia.org/wiki/Nvidia

Slide 5 of 16

Slide 5 - Key Milestones

1993: Company Founded By Jensen Huang, Chris Malachowsky, Curtis Priem Early 2000s: Invested $1B+ in CUDA Software platform for parallel computing on GPUs 2023: Reached $1 Trillion Valuation Seventh U.S. company to achieve this 2025: Surpassed $5 Trillion Market Cap First company worldwide amid AI boom

Source: https://en.wikipedia.org/wiki/Nvidia

Slide 6 of 16

Slide 6 - Market Leadership

92%: Discrete GPU Share
80%: AI Model GPUs
75%: TOP500 Supercomputers

Source: https://en.wikipedia.org/wiki/Nvidia

Slide 7 of 16

Slide 7 - Products and Innovations

Products and Innovations

From Gaming to AI Data Centers

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Slide 8 of 16

Slide 8 - Key Product Lines

🎮 GeForce Gaming GPUs incl. RTX 40 series (Ada Lovelace)

💻 Data Center GPUs Former Tesla line, A100 for AI training

🖥️ DGX Systems Servers with 4-8 GPUs for deep learning

🚗 Tegra SoCs For mobile, automotive infotainment

Source: https://en.wikipedia.org/wiki/Nvidia

Slide 9 of 16

Slide 9 - GeForce RTX 40 Series

Announced Sep 20, 2022 at GTC
Launched Oct 12, 2022 with RTX 4090 flagship
Ada Lovelace architecture
3rd-gen RT cores for ray tracing
4th-gen Tensor cores for AI

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Photo by Nana Dua on Unsplash

Source: https://en.wikipedia.org/wiki/GeForce_RTX_40_series

Slide 10 of 16

Slide 10 - AI and Supercomputing Dominance

CUDA platform enables massively parallel GPU computing
Developed with over $1B investment in early 2000s
Powers 80% of AI model training/deploying GPUs
Chips in 75% of TOP500 supercomputers
DGX systems for AI/deep learning workstations

Source: https://en.wikipedia.org/wiki/Nvidia

Slide 10 - AI and Supercomputing Dominance

Slide 11 of 16

Slide 11 - Financial Performance

Financial Performance

Record-Breaking Valuations in AI Boom

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Photo by Logan Voss on Unsplash

Slide 12 of 16

Slide 12 - Valuation Milestones

$1T: 2023 Valuation
$4T: 2025 Surpassed
$5T: Market Cap Peak
Mag 7: Status

Source: https://en.wikipedia.org/wiki/Nvidia

Slide 13 of 16

Slide 13 - The AI Boom Driver

> In 2025, driven by soaring global demand for AI data center hardware in the midst of the AI boom, Nvidia became the first company in the world to surpass US$4 trillion and US$5 trillion in market capitalization.

— Wikipedia: Nvidia

Source: https://en.wikipedia.org/wiki/Nvidia