October 28, 2025 [crocon media – msc] In a seismic wave of innovation straight out of a sci-fi playbook, NVIDIA dropped a barrage of press releases today, October 28, 2025, that could redefine the boundaries of AI, quantum computing, and next-gen telecom. At the heart of NVIDIA GTC Washington, D.C., CEO Jensen Huang didn’t just talk the talk – he laid out a blueprint for America’s AI dominance, partnering with heavyweights like Oracle, Nokia, and the U.S. Department of Energy to supercharge scientific discovery, manufacturing, and connectivity. This isn’t incremental tech; it’s a full-throttle push toward an AI-powered industrial revolution, where gigawatt-scale factories and hybrid quantum-GPU beasts become the new normal.

• Read the press release :
  https://www.globenewswire.com/news-release/2025/10/28/3175757/0/en/NVIDIA-and-Nokia-to-Pioneer-the-AI-Platform-for-6G-Powering-America-s-Return-to-Telecommunications-Leadership.html
• https://www.globenewswire.com/news-release/2025/10/28/3175764/0/en/NVIDIA-Introduces-NVQLink-Connecting-Quantum-and-GPU-Computing-for-17-Quantum-Builders-and-Nine-Scientific-Labs.html
• https://www.globenewswire.com/news-release/2025/10/28/3175770/0/en/NVIDIA-and-Partners-Build-America-s-AI-Infrastructure-and-Create-Blueprint-to-Power-the-Next-Industrial-Revolution.html
• https://www.globenewswire.com/news-release/2025/10/28/3175818/0/en/Palantir-and-NVIDIA-Team-Up-to-Operationalize-AI-Turning-Enterprise-Data-Into-Dynamic-Decision-Intelligence.html
• https://www.globenewswire.com/news-release/2025/10/28/3175820/0/en/NVIDIA-and-US-Manufacturing-and-Robotics-Leaders-Drive-America-s-Reindustrialization-With-Physical-AI.html
• https://www.globenewswire.com/news-release/2025/10/28/3175830/0/en/NVIDIA-Makes-the-World-Robotaxi-Ready-With-Uber-Partnership-to-Support-Global-Expansion.html
• https://www.globenewswire.com/news-release/2025/10/28/3175834/0/en/NVIDIA-and-US-Telecom-Leaders-Unveil-the-All-American-AI-RAN-Stack-to-Accelerate-the-Path-to-6G.html
• https://www.globenewswire.com/news-release/2025/10/28/3175836/0/en/NVIDIA-and-Oracle-to-Build-US-Department-of-Energy-s-Largest-AI-Supercomputer-for-Scientific-Discovery.html

Editorial Disclosure: The editorial content on this page is not provided by any entity mentioned herein. Opinions expressed here are the author’s alone, and have not been reviewed, approved or otherwise endorsed by any of these entities.

Disclaimer: The author(s) of this article may or may not hold a position in the mentioned stock. None of the companies discussed in the above article have paid for this content. The information provided in this article should not be considered financial advice, and readers should always do their own research before making investment decisions. However, as with any investment, there are potential risks and uncertainties to consider, such as potential regulatory changes, market volatility, and competition from other players in the industry. It is important for investors to carefully monitor this stock and its performance over time to make informed decisions about their investments. crocon media is a project of The SiLLC Assembly. This site is for entertainment purposes only. The owner of this site is not an investment advisor, financial planner, nor legal or tax professional and articles here are of an opinion and general nature and should not be relied upon for individual circumstances. This article is for informational purposes only and should not be considered financial advice. Investing in stocks involves risk, and readers should conduct their own research and consult with a qualified financial advisor before making any investment decisions.

October 20, 2024 [crocon media – msc] A New Era for AI, with Nvidia Leading the Charge

As artificial intelligence continues to evolve, large language models (LLMs) like OpenAI’s GPT-4 and large quantum models (LQMs) are redefining the future of computation. This report tries to examine the advantages and challenges of these two powerful paradigms, and why companies like Nvidia are poised to dominate the next decade of AI development, particularly with LQMs.

LLMs: Powering the Present

LLMs have revolutionized natural language processing (NLP), providing state-of-the-art solutions for language understanding, generation, and translation. They are already being deployed across industries, from customer service bots to code generation and drug discovery.

Advantages:

1. Wide Accessibility: LLMs are well-integrated into cloud infrastructures, allowing businesses to quickly adopt them.
2. Scalability: With enough compute resources, LLMs can handle increasingly complex tasks across languages and domains.
3. Customization: Fine-tuning models like GPT for specific industries has empowered companies to build domain-specific applications.

However, LLMs also have drawbacks:

• Energy Intensive: Training and running large models requires significant energy consumption.
• Data Hunger: LLMs rely on massive datasets, making them prone to biases inherent in large-scale data scraping.
• Computation Costs: The high cost of scaling models is a growing concern, especially for smaller firms that cannot match the compute resources of tech giants.

LQMs: A Glimpse into the Future

Large Quantum Models (LQMs) are emerging as a promising frontier, with the potential to solve some of the computational bottlenecks faced by classical models. Quantum computing offers exponentially faster processing for certain tasks, making it well-suited for complex problem-solving beyond the capacity of today’s best GPUs.

Advantages:

1. Exponential Speed: Quantum processors leverage quantum mechanics principles like superposition and entanglement to process information at speeds unreachable by classical computers.
2. New Problem-Solving Paradigms: Problems like optimization and simulation (e.g., for drug discovery or material science) that overwhelm classical computers could be tackled efficiently by LQMs.
3. Lower Energy Consumption: While LQMs are still in their early stages, quantum computing could dramatically reduce the energy required for AI computations by solving certain problems in fewer steps.

However, the challenges of LQMs are significant:

• Hardware Maturity: Quantum computers are still in the nascent stage, with noise, decoherence, and error correction being major hurdles.
• Cost: Quantum computing infrastructure is still expensive and difficult to scale.
• Skill Gap: The specialized knowledge required to develop quantum algorithms limits widespread adoption in the short term.

Why Nvidia’s Future Looks Bright with LQMs

Nvidia has long been at the forefront of AI innovation, dominating the GPU market, which serves as the backbone for training LLMs. Its GPUs have enabled breakthroughs in deep learning and large-scale model training. Looking ahead, Nvidia’s investments in quantum computing signal a new era where the company could lead in LQM development, creating an ecosystem that supports both LLMs and LQMs.

Key reasons why Nvidia is positioned for success with LQMs:

1. Hybrid Architectures: Nvidia is working on hybrid quantum-classical architectures that blend the strengths of both paradigms, providing flexibility for various workloads. This ensures that Nvidia can continue to serve industries even as quantum computing matures.
2. Software Ecosystem: Nvidia’s CUDA and quantum software libraries are setting the stage for integrating quantum capabilities into mainstream applications. As LQMs develop, Nvidia’s tools and platforms will be critical for scaling their adoption.
3. Collaborations: Nvidia has partnered with quantum computing firms, including Qubits by Rigetti and IBM’s Qiskit, fostering synergies that accelerate quantum hardware and software innovation.

“Soon”, maybe in the next decade, LQMs will likely take over where classical AI models fall short—handling massive datasets with complex, non-linear interactions, and creating models capable of solving intractable problems like climate modeling and global optimization challenges. Nvidia’s forward-thinking strategy will make it a crucial player in this emerging field.

As the AI landscape shifts from LLMs to the quantum-driven future of LQMs, Nvidia is poised to lead this transition with its investments in quantum computing and its ability to develop hybrid systems. The future of AI is not limited to more powerful classical models but lies in integrating quantum and classical approaches for next-generation problem-solving.

For more in-depth explorations of this topic, please also refer to the following resources:

• “Nvidia’s Quantum Computing Roadmap: How GPUs and Quantum Will Coexist” – https://www.nvidia.com/quantum-roadmap
• “The Future of AI: LQMs and their Impact on Quantum and Classical Systems” – https://www.sciencedirect.com/ai-quantum-future
• “How Quantum AI Could Transform Industries” – https://www.quantum-computing-insights.com/transform-industries

Read Nvidia’s latest press releases : https://nvidianews.nvidia.com/news/

Editorial Disclosure: The editorial content on this page is not provided by any entity mentioned herein. Opinions expressed here are the author’s alone, and have not been reviewed, approved or otherwise endorsed by any of these entities.

Disclaimer: The author(s) of this article may or may not hold a position in the mentioned stock. None of the companies discussed in the above article have paid for this content. The information provided in this article should not be considered financial advice, and readers should always do their own research before making investment decisions. However, as with any investment, there are potential risks and uncertainties to consider, such as potential regulatory changes, market volatility, and competition from other players in the industry. It is important for investors to carefully monitor this stock and its performance over time to make informed decisions about their investments. crocon media is a project of The SiLLC Assembly. This site is for entertainment purposes only. The owner of this site is not an investment advisor, financial planner, nor legal or tax professional and articles here are of an opinion and general nature and should not be relied upon for individual circumstances. This article is for informational purposes only and should not be considered financial advice. Investing in stocks involves risk, and readers should conduct their own research and consult with a qualified financial advisor before making any investment decisions.

October 15, 2024 [crocon media – tlei] NVIDIA Contributes Blackwell Platform to OCP, Boosting Open AI Infrastructure

At the OCP Global Summit, NVIDIA unveiled its latest contribution to the Open Compute Project (OCP), aiming to drive innovation in AI infrastructure. The company announced the release of foundational elements of its Blackwell accelerated computing platform to the OCP community. This move will provide the ecosystem with essential designs such as the GB200 NVL72 system, liquid-cooling, and NVLink cable specifications, helping organizations worldwide create scalable and efficient data centers.

NVIDIA’s commitment to open standards is critical as AI workloads grow increasingly complex. This year, NVIDIA expanded its Spectrum-X Ethernet networking platform to align with OCP standards, further empowering companies to adopt AI-driven data centers using OCP-recognized equipment while preserving their software investments.

Jensen Huang, NVIDIA’s CEO, emphasized the importance of collaboration in building the next generation of AI factories. “By advancing open standards, we’re enabling organizations to leverage the full potential of accelerated computing,” said Huang, reinforcing NVIDIA’s leadership in both high-performance computing and AI.

The Blackwell platform is part of NVIDIA’s larger strategy to accelerate the shift toward AI-focused data centers. Its GB200 NVL72 system connects 36 Grace CPUs and 72 Blackwell GPUs, delivering 30x faster inference on large-scale AI models compared to previous generation GPUs. This architecture is designed to support next-generation AI, empowering industries ranging from cloud computing to machine learning.

The inclusion of ConnectX-8 SuperNICs, capable of 800Gb/s, enhances networking performance for massive AI workloads, enabling seamless scale-out of AI infrastructure across industries. Meta’s collaboration with NVIDIA, utilizing the Blackwell platform for its Catalina AI rack architecture, further highlights the growing adoption of NVIDIA’s open computing standards.

As AI becomes increasingly integral to business operations, NVIDIA’s open hardware contributions will continue to be pivotal in enabling organizations to build efficient, high-density compute environments that meet the growing demands of the AI era.

Read their latest press releases : https://nvidianews.nvidia.com/news/

Editorial Disclosure: The editorial content on this page is not provided by any entity mentioned herein. Opinions expressed here are the author’s alone, and have not been reviewed, approved or otherwise endorsed by any of these entities.

Disclaimer: The author(s) of this article may or may not hold a position in the mentioned stock. None of the companies discussed in the above article have paid for this content. The information provided in this article should not be considered financial advice, and readers should always do their own research before making investment decisions. However, as with any investment, there are potential risks and uncertainties to consider, such as potential regulatory changes, market volatility, and competition from other players in the industry. It is important for investors to carefully monitor this stock and its performance over time to make informed decisions about their investments. crocon media is a project of The SiLLC Assembly. This site is for entertainment purposes only. The owner of this site is not an investment advisor, financial planner, nor legal or tax professional and articles here are of an opinion and general nature and should not be relied upon for individual circumstances. This article is for informational purposes only and should not be considered financial advice. Investing in stocks involves risk, and readers should conduct their own research and consult with a qualified financial advisor before making any investment decisions.

May 22, 2024 [crocon media – msc] NVIDIA Corporation (NASDAQ: NVDA) has released its financial results for the first quarter ending April 28, 2024, and the numbers are nothing short of spectacular. NVIDIA reported a revenue of $26.0 billion, marking an 18% increase from the previous quarter and an astounding 262% increase from the same quarter last year. This surge highlights NVIDIA’s growing dominance in the AI and data center markets.

For Q1 2024, GAAP earnings per diluted share reached $5.98, representing a 21% rise from the previous quarter and a staggering 629% increase year-over-year. Non-GAAP earnings per diluted share were $6.12, up 19% from the previous quarter and up 461% from a year ago. These figures underscore NVIDIA’s exceptional performance and strategic positioning in the rapidly evolving AI and technology sectors.

Jensen Huang, NVIDIA’s founder and CEO, articulated the company’s vision with a bold statement: “The next industrial revolution has begun.” Huang highlighted that NVIDIA is at the forefront of transforming traditional data centers into “AI factories” — a new breed of data centers designed to handle the demanding workloads of artificial intelligence. This transformation promises significant productivity gains across various industries by enhancing cost and energy efficiency while expanding revenue opportunities.

NVIDIA’s data center segment was a primary growth driver, with revenue reaching a record $22.6 billion, up 23% from the previous quarter and up 427% year-over-year. This growth was fueled by the increasing demand for generative AI training and inference, particularly on NVIDIA’s Hopper platform. The expansion of generative AI beyond cloud service providers to include consumer internet companies, enterprises, sovereign AI projects, automotive, and healthcare sectors has opened multiple multibillion-dollar vertical markets.

NVIDIA’s ambitious Blackwell platform, now in full production, is set to revolutionize AI computing with its capability to handle trillion-parameter-scale generative AI. The introduction of the Spectrum-X series, designed to enable large-scale AI in Ethernet-only data centers, and NVIDIA NIM, a software offering optimized for generative AI, further strengthens NVIDIA’s comprehensive ecosystem.

In a move to make stock ownership more accessible, NVIDIA announced a ten-for-one forward stock split. This will involve distributing nine additional shares of common stock for each share held by record holders as of June 6, 2024. The split-adjusted trading is expected to commence on June 10, 2024. Additionally, NVIDIA is increasing its quarterly cash dividend by 150%, from $0.04 to $0.10 per share, which equates to $0.01 per share post-split. The increased dividend will be paid on June 28, 2024, to shareholders of record on June 11, 2024.

Looking ahead to Q2 2025, NVIDIA expects revenue to be around $28.0 billion, with GAAP and non-GAAP gross margins projected at approximately 74.8% and 75.5%, respectively. Operating expenses are anticipated to grow significantly, reflecting NVIDIA’s continuous investment in R&D and expansion initiatives.

Key Highlights and Strategic Partnerships

• Data Center Innovations: NVIDIA launched several groundbreaking products, including the Blackwell-powered DGX SuperPOD for generative AI supercomputing and the Spectrum X800 series switches, optimized for AI infrastructure. The collaboration with TSMC and Synopsys to accelerate semiconductor manufacturing using NVIDIA cuLitho demonstrates NVIDIA’s pivotal role in advancing computational lithography.
• Gaming and AI PC Advancements: Despite a slight decline in gaming revenue to $2.6 billion, NVIDIA continues to innovate with new AI gaming technologies and performance optimizations for NVIDIA GeForce RTX AI PCs. The integration of RTX technology in major upcoming games promises to enhance the gaming experience further.
• Professional Visualization: NVIDIA introduced new GPUs for professional workflows, reinforcing its position in the AI-enhanced design and productivity sectors. The expansion of NVIDIA Omniverse Cloud APIs and partnerships with Siemens and Apple Vision Pro indicates a strong push towards industrial digital twins and high-resolution global climate simulations.
• Automotive and Robotics: With first-quarter automotive revenue up to $329 million, NVIDIA’s DRIVE Thor platform, featuring the Blackwell GPU architecture, is set to power next-generation electric vehicles. Partnerships with major automotive manufacturers like BYD and XPENG highlight NVIDIA’s influence in transforming in-vehicle experiences through generative AI technologies.

NVIDIA’s Q1 2024 results reflect its dominant position in the AI and technology markets. The company’s strategic initiatives, robust financial performance, and innovative product launches underscore its potential for sustained growth.

Read the press release : https://www.globenewswire.com/news-release/2024/05/22/2886873/0/en/NVIDIA-Announces-Financial-Results-for-First-Quarter-Fiscal-2025.html

Editorial Disclosure: The editorial content on this page is not provided by any entity mentioned herein. Opinions expressed here are the author’s alone, and have not been reviewed, approved or otherwise endorsed by any of these entities.

Disclaimer: The author(s) of this article may or may not hold a position in the mentioned stock. None of the companies discussed in the above article have paid for this content. The information provided in this article should not be considered financial advice, and readers should always do their own research before making investment decisions. However, as with any investment, there are potential risks and uncertainties to consider, such as potential regulatory changes, market volatility, and competition from other players in the industry. It is important for investors to carefully monitor this stock and its performance over time to make informed decisions about their investments. crocon media is a project of The SiLLC Assembly. This site is for entertainment purposes only. The owner of this site is not an investment advisor, financial planner, nor legal or tax professional and articles here are of an opinion and general nature and should not be relied upon for individual circumstances. This article is for informational purposes only and should not be considered financial advice. Investing in stocks involves risk, and readers should conduct their own research and consult with a qualified financial advisor before making any investment decisions.

February 22, 2024 [crocon media – msc] Nvidia’s recent fiscal report has not just exceeded market expectations but has emphatically highlighted the transformative power of artificial intelligence (AI) in redefining the technological landscape and opening new investment horizons. Reporting a monumental $22.1 billion revenue for its fiscal fourth quarter, a significant leap from $6.05 billion the previous year, Nvidia’s trajectory is a testament to the burgeoning role of AI in shaping the future of technology and investment.

Nvidia’s financial success is a clarion call to the industry, signaling the untapped potential of AI. The company’s profit surge to $12.29 billion from $1.41 billion a year ago positions Nvidia as a leader in the ongoing technological revolution. Specialized chips, integral to AI applications like generative chatbots and advanced computing platforms, underscore Nvidia’s pivotal role in this transformative era.

Jensen Huang, Nvidia’s CEO, encapsulates this moment as the “tipping point” for accelerated computing and generative AI. Nvidia’s strategic foresight and early investments in AI have not only established its market dominance but also positioned it for sustained growth and innovation in AI’s hardware and software realms.

Despite Nvidia’s stellar performance, the path ahead is lined with economic uncertainties and increasing competition in the AI chip market. However, Nvidia’s solid market standing and its projection of continued growth into 2025 and beyond reflect a resilience and market strength that is unparalleled.

The company’s projected revenue of about $24 billion for the current quarter, surpassing analysts’ expectations of $22.2 billion, reinforces its leadership status. This optimism is echoed by Morgan Stanley analysts, who have adjusted their price target on Nvidia’s stock upwards, attributing it to the rising demand for AI chips.

As AI disrupts traditional technology paradigms, Nvidia’s contributions are pivotal. The company’s focus on generative AI and its ambitious vision for the “next $1 trillion of infrastructure of AI generation factories” underscore the vast potential for growth and innovation in the sector. Nvidia’s journey is not just a narrative of financial success but a blueprint for the future of AI and technology investment.

Read the press release : https://nvidianews.nvidia.com/news/nvidia-announces-financial-results-for-fourth-quarter-and-fiscal-2024

Editorial Disclosure: The editorial content on this page is not provided by any entity mentioned herein. Opinions expressed here are the author’s alone, and have not been reviewed, approved or otherwise endorsed by any of these entities.

Disclaimer: The author(s) of this article may or may not hold a position in the mentioned stock. None of the companies discussed in the above article have paid for this content. The information provided in this article should not be considered financial advice, and readers should always do their own research before making investment decisions. However, as with any investment, there are potential risks and uncertainties to consider, such as potential regulatory changes, market volatility, and competition from other players in the industry. It is important for investors to carefully monitor this stock and its performance over time to make informed decisions about their investments. crocon media is a project of The SiLLC Assembly. This site is for entertainment purposes only. The owner of this site is not an investment advisor, financial planner, nor legal or tax professional and articles here are of an opinion and general nature and should not be relied upon for individual circumstances. This article is for informational purposes only and should not be considered financial advice. Investing in stocks involves risk, and readers should conduct their own research and consult with a qualified financial advisor before making any investment decisions.

July 27, 2023 [crocon media – msch] In a recent analysis, Wall Street analysts and AI technology specialists have shed light on Nvidia’s remarkable potential in the AI space, propelling its stock to new heights. The company’s AI revenue opportunity for the current year is estimated to reach an impressive $25 billion to $30 billion. With an expected shipment of around 100,000 AI units this year, each with average selling prices ranging from $250,000 to $300,000, Nvidia seems poised for substantial growth.

The surge in Nvidia’s shares, already up 200% this year, has led analysts to believe that there is still room for further gains. Analysts have raised their price target for Nvidia to $530 from $400, while emphasizing that this new target is deemed “conservative.” As the company unlocks an additional ~$20-$300/share of AI value, the potential value per share could reach a substantial range of ~$486-$760.

While other companies in the semiconductor industry may also benefit from the AI revolution, Nvidia’s unique position in the AI space sets it apart. Matt Bryson, an analyst at Wedbush Securities, remarked that Nvidia’s recent performance has been extraordinary and unmatched in the semiconductor industry.

The race to integrate AI into existing businesses has provided significant momentum for Nvidia, which supplies the hardware required to run complex AI models with billions of inputs. The demand for AI is so high that the company faces supply constraints, giving it considerable pricing power and a competitive edge.

However, there are potential risks that investors need to consider. Analysts caution that the exuberance surrounding the AI boom may cloud Nvidia’s long-term forecasts, leading to volatility in the future. The AI sector’s rapid growth and its impact on Nvidia’s financials are contingent on various uncertainties that make it challenging to provide a precise 5-year forecast.

Nonetheless, the consensus among experts remains overwhelmingly positive for Nvidia. The company’s ability to build world-leading AI supercomputing systems, coupled with its strategic positioning in the AI storm, has led to robust investor excitement.

In conclusion, the outlook for Nvidia is exceptionally promising, with the AI revolution driving significant growth opportunities for the company. As AI technology continues to reshape industries and generate immense demand, Nvidia’s innovative capabilities are expected to play a pivotal role in the AI arms race. Despite the uncertainties, the AI market’s enthusiasm has cemented Nvidia’s position as a key player in the AI revolution, potentially leading the way for continued success and growth in the technology sector.