Amazon's AI Chip Business Poised for Growth
Written by Emily J. Thompson, Senior Investment Analyst
Updated: 2 days ago
0mins
Should l Buy NVDA?
Source: NASDAQ.COM
- Cloud Revenue Surge: Amazon Web Services (AWS) contributed nearly 60% of operating income in the latest fiscal year, achieving an annual revenue run rate of $142 billion, which underscores its dominant position in the cloud computing market and enhances Amazon's profitability.
- Chip Demand Explosion: The in-house developed Trainium2 chip is nearly sold out, while the recently launched Trainium3 is almost fully subscribed, indicating that the annual revenue run rate for this chip business will exceed $20 billion, reflecting strong market demand for cost-effective AI chips.
- Competitive Pressure: Amazon's potential future sales of chips to third parties could pressure Nvidia to accelerate its innovation pace to maintain market share, even though AWS does not directly compete with Nvidia in the premium chip market.
- Investor Confidence Boost: While Amazon's chip business may capture some market share, Nvidia is still viewed as a strong long-term investment due to its extensive customer base and proven innovation capabilities, leading investors to remain optimistic about its future performance.
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Analyst Views on NVDA
Wall Street analysts forecast NVDA stock price to rise
41 Analyst Rating
39 Buy
1 Hold
1 Sell
Strong Buy
Current: 196.510
Low
200.00
Averages
264.97
High
352.00
Current: 196.510
Low
200.00
Averages
264.97
High
352.00
About NVDA
NVIDIA Corporation is an artificial intelligence (AI) infrastructure company. The Company is engaged in accelerated computing to help solve the challenging computational problems. Its segments include Compute & Networking and Graphics. The Compute & Networking segment includes its Data Center accelerated computing and networking platforms and AI solutions and software, and automotive platforms and autonomous and electric vehicle solutions, including software. The Graphics segment includes GeForce GPUs for gaming and personal computers (PCs), and Quadro/NVIDIA RTX GPUs for enterprise workstation graphics. Its technology stack includes the foundational NVIDIA CUDA development platform that runs on all NVIDIA GPUs, as well as hundreds of domain-specific software libraries, frameworks, algorithms, software development kits (SDKs), and application programming interfaces (APIs). Its platforms address four markets, which include Data Center, Gaming, Professional Visualization, and Automotive.
About the author

Emily J. Thompson
Emily J. Thompson, a Chartered Financial Analyst (CFA) with 12 years in investment research, graduated with honors from the Wharton School. Specializing in industrial and technology stocks, she provides in-depth analysis for Intellectia’s earnings and market brief reports.
- AI Market Potential: 2023 marks the unofficial start of the AI boom, with Nvidia's stock soaring over 1,100% since then, and projections indicate continued AI spending growth, leaving ample room for further stock appreciation before a potential slowdown in 2030.
- Insatiable GPU Demand: Nvidia's graphics processing units (GPUs) are in high demand, having expanded from gaming to applications in engineering simulations, drug discovery, and cryptocurrency mining, with AI being the largest use case yet to reach peak demand.
- Strong Capital Expenditure Outlook: Nvidia anticipates global data center capital expenditures could rise to $3 trillion to $4 trillion by 2030, representing significant growth potential, positioning Nvidia as a primary beneficiary in this expanding market.
- Impressive Financial Performance: Nvidia achieved a remarkable 73% growth in the last quarter, with revenue projections of 79% and 85% growth for the next two quarters, and despite a seemingly high P/E ratio, the stock is viewed as a bargain considering its future growth potential.
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- Acquisition Risk Alert: Senator Warren expressed concerns in a letter to the Defense and Energy Secretaries that Nvidia's acquisition of SchedMD could pose national security risks, particularly due to the Department of Energy and Department of Defense's reliance on SchedMD's workload management software, Slurm.
- Software Dependency Issues: Slurm is recognized as the top software used globally in aerospace and defense, and Nvidia's acquisition transforms this once open-source software into a proprietary product, potentially reducing competition and impacting the operation of government supercomputers.
- Government Dependency Inquiry: Senator Warren requested information on which DOE and DOD systems rely on Nvidia's software or hardware, with a deadline for responses set for May 5, highlighting concerns over the extent of government dependency on Nvidia.
- Nvidia's Response: An Nvidia spokesperson stated that Slurm will continue to be developed and distributed as open-source software, emphasizing their commitment to openness and ongoing enhancements for customers, despite the acquisition raising competition concerns.
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- Earnings Surge Expectation: BlackRock anticipates an 80% increase in semiconductor earnings by 2026, indicating strong market demand that could drive investments and expansions within the sector.
- Geopolitical Risks: However, the shutdown of the Strait of Hormuz poses a threat to this optimistic forecast, potentially leading to supply chain disruptions that could affect the stability of semiconductor production and delivery.
- Market Reaction Potential: Should semiconductor earnings grow as expected, it may attract increased investor interest in the sector, further driving stock prices up and enhancing market confidence.
- Strategic Adjustment Necessity: In light of potential geopolitical risks, semiconductor companies may need to reassess their supply chain strategies to maintain competitiveness and profitability in an uncertain environment.
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- Strategic Investment Partnership: Nvidia's recent $2 billion investment in Marvell aims to enhance AI cluster computing capabilities through ultra-low latency and high-bandwidth interconnects, thereby accelerating the training and inference demands of generative AI applications and further driving data center build-outs.
- AI-RAN Platform Innovation: Nokia's collaboration with Nvidia integrates its Aerial RAN Computer Pro platform into its RAN portfolio, with plans to achieve a software-defined, AI-native radio access network by 2025, enhancing seamless upgrades from 5G to 6G and improving connectivity and computing capabilities.
- Massive Market Potential: As physical AI proliferates, the AI RAN market is projected to reach $200 billion by 2030, positioning Nokia not merely as a low-margin telecom provider but as a key enabler of last-mile monetization layers in the AI economy, unlocking markets for billions of devices.
- Portfolio Complementation: For investors already holding Nvidia and Marvell, adding Nokia as an adjacent player allows for a more comprehensive grasp of the AI value chain, from model training to real-world consumer applications, and while it may seem dull on the surface, its potential in edge devices is significant.
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- Strategic Investment: Nvidia's $1 billion investment in Nokia by late 2025 aims to integrate its Aerial RAN Computer platform into Nokia's RAN portfolio, facilitating the development of AI-native radio access networks that enhance connectivity and computing capabilities.
- Deepening Partnerships: Nvidia also announced a $2 billion investment in Marvell, strengthening its ultra-low latency and high-bandwidth interconnect capabilities within AI clusters, thereby enabling efficient workload processing for generative AI applications in data centers.
- Massive Market Potential: The AI RAN market is projected to reach $200 billion by 2030, with Nokia transforming into a key player in the AI economy through this investment, moving beyond its traditional role as a telecom provider to unlock last-mile monetization opportunities.
- Portfolio Optimization: Investors can complement their holdings in Nvidia and Marvell by adding Nokia to their portfolios, thereby gaining comprehensive exposure to the AI value chain, from model training to real-world consumer applications, capitalizing on the growth of AI infrastructure.
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- Quantum Gravity Gradiometer Mission: Infleqtion's Quantum Gravity Gradiometer (QGG) mission aims to operate autonomously in orbit, with larger commercial opportunities anticipated following technology validation in partnership with NASA, paving the way for broader applications.
- Significant Market Potential: CEO Matt Kinsella stated that the space market is poised to be an 'enormous market opportunity' for quantum technology, highlighting the recent delivery of an upgraded quantum physics package to the International Space Station as a foundation for future commercial prospects.
- Key Milestones: Kinsella outlined two critical targets for 2026: achieving $40 million in revenue and reaching 30 logical qubits on its quantum computing platform, with a goal of 100 logical qubits by 2028, indicating strong growth potential as the company moves towards commercially viable quantum solutions.
- Wall Street Optimism: Analysts from BTIG and Citi have initiated coverage with 'Buy' ratings and price targets of $22 and $20 respectively, emphasizing Infleqtion's partnership with NVIDIA and its ability to generate revenue from its neutral atom platform, reflecting confidence in the company's future growth trajectory.
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