NVIDIA Hopper GPUs Expand Reach as Demand for AI Grows
Written by Emily J. Thompson, Senior Investment Analyst
Updated: Mar 21 2023
0mins
Source: globenewswire
- NVIDIA H100 GPUs: Cloud giants are offering NVIDIA H100 GPUs to meet the increasing demand for generative AI training and inference.
- Hopper Architecture Accelerates AI: The H100 GPU, based on NVIDIA's Hopper architecture, offers faster AI training and inference compared to the previous generation A100.
- AI Pioneers Adopt H100: Companies like OpenAI, Meta, Stability AI, Twelve Labs, and Anlatan are adopting the H100 GPU for various AI applications.
- DGX H100 Around the World: Innovators worldwide, including CyberAgent, Johns Hopkins University, KTH Royal Institute of Technology, Mitsui, and Telconet, are leveraging DGX H100 systems for AI projects.
- Ecosystem Support: Key partners like Google Cloud, AWS, Microsoft, Oracle Cloud Infrastructure, and others are collaborating with NVIDIA to leverage the capabilities of the H100 GPU for AI innovation.
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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: 211.140
Low
200.00
Averages
264.97
High
352.00
Current: 211.140
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.
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- Financial Performance: As of the morning prices on May 29, Nvidia's recent financial results indicate strong growth potential, further solidifying its leadership position in the tech industry and likely driving future stock price increases.
- Investor Confidence: With increasing market recognition of Nvidia, investor confidence in its stock is rising, which could lead to more capital inflows and enhance overall market performance.
- Strategic Implications: Nvidia's success not only reflects its innovative capabilities in AI and graphics processing but may also set investment trends across the industry, driving further advancements in related technologies.
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- New Software Release: The DSX MaxLPS software combines 45-degree liquid cooling with in-rack optimization technologies, enabling a 40% increase in token performance within a fixed power budget, significantly lowering operational costs and improving GPU utilization.
- Ecosystem Expansion: NVIDIA is partnering with leading Taiwanese system manufacturers to drive the development of the DSX ecosystem, ensuring extreme co-design for AI factories, facilitating rapid deployment and operation on a global scale.
- Market Responsiveness: The introduction of the DSX platform allows infrastructure builders to simulate the entire factory before investment, validating performance to reduce risk and enhance market responsiveness, further solidifying NVIDIA's leadership position in the AI sector.
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- Partner Support: Dell CEO Michel Dell tweeted about delivering the first liquid-cooled Nvidia Vera Rubin NVL72 server rack for CoreWeave, showcasing Dell's confidence in CoreWeave's technology and potentially paving the way for future collaborations between the two companies.
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- Limited Market Reaction: Despite Nvidia's 5.1% stock increase, the S&P 500 and Nasdaq Composite only rose by 0.1% and 0.2%, respectively, indicating that the market's response to AI optimism is constrained by other factors.
- AI-Linked Stocks Surge: Nvidia's announcement of a partnership with IBM boosted its stock by 9.2%, while Micron Technology and ARM Holdings also saw increases of 6.7% and 17%, respectively, reflecting market confidence in the AI ecosystem.
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- Significant Technical Advantage: The company's single large chip design allows speeds up to 15 times faster than traditional GPUs, attracting high-profile clients like OpenAI, and is expected to drive revenue growth with a target of $510 million by 2025.
- Strategic Partnerships: Cerebras has signed a multiyear deal valued at over $20 billion with OpenAI and established partnerships with Meta and Amazon, which will further solidify its position in the AI chip market and enhance brand influence.
- Cautious Market Reaction: Despite the strong IPO performance, investors should approach with caution, particularly those who bought at $350, as the current price has fallen to $236, reflecting market concerns over short-term volatility.
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- Technological Validation: CoreWeave announced the successful completion of the industry's first introduction and validation of the Nvidia Vera Rubin NVL72 single rack-scale AI accelerator, marking its leadership in next-generation data center processing technology, which is expected to attract more customers and enhance market share.
- Positive Market Reaction: CoreWeave's stock price surged 14.3% on Monday, reflecting investor recognition of its new technology; despite underperforming over the past year, this increase indicates potential upside for the stock.
- Significant Cost Efficiency: The new technology delivers up to 10× better inference per watt, reduces the number of required GPUs by one-fourth, and lowers the cost per million tokens to one-tenth compared to Nvidia Blackwell, significantly enhancing operational efficiency and potentially attracting more enterprise clients.
- Increased Industry Attention: Nvidia CEO Jensen Huang specifically mentioned CoreWeave at the Computex event in Taipei, highlighting its importance in hyperscale data centers, which further boosts market confidence in the company.
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