Core Viewpoint - The article highlights NVIDIA's significant role in the AI and technology landscape, emphasizing its advancements in AI computing and the transformative impact on various industries, particularly in China. Group 1: NVIDIA's Innovations and Impact - NVIDIA's CEO Jensen Huang predicts that within ten years, factories will be driven by software and AI, creating new opportunities for China's supply chain ecosystem [1] - The company has enhanced AI computing capabilities by 100 times through its chip architectures, surpassing the development pace of Moore's Law by 1000 times [2] - NVIDIA's AI technologies are empowering major Chinese tech companies like Tencent, Alibaba, and Baidu, driving advancements in sectors such as healthcare and autonomous driving [3] Group 2: The Role of Open Source AI - Huang emphasizes that China's open-source AI acts as a catalyst for global AI development, allowing participation from various countries and industries [3] - Open-source initiatives are crucial for ensuring AI safety and establishing standards and benchmarks in the AI field [3] Group 3: Evolution of NVIDIA - NVIDIA has evolved from a gaming chip provider to a foundational infrastructure company for AI, likening its role to providing "water and electricity" for AI [3] - The company is involved in numerous projects utilizing its digital twin AI platform, Omniverse, across smart factories and autonomous vehicles [3]

Core Points - NVIDIA will hold its 2025 Annual Meeting of Stockholders online on June 25, 2025, at 9 a.m. PT [1] - Stockholders must use their control number from their notice or proxy card to access the meeting, while non-stockholders can attend as guests [2] - The matters to be voted on are detailed in the proxy statement filed on May 13, 2025, with the U.S. Securities and Exchange Commission [2] - A replay of the annual meeting webcast will be available until June 24, 2026 [3] - NVIDIA is recognized as the world leader in accelerated computing [4]

Company Overview and Strategy - NVIDIA's GPU invention in 1999 spurred PC gaming growth, redefined computer graphics, revolutionized accelerated computing, ignited modern AI, and fuels industrial digitalization[10] - NVIDIA is enabling accelerated computing and generative AI transitions with its full-stack computing platform and data-center-scale offerings[12] - NVIDIA has accelerated software and compute by 1,000,000X in the last decade, surpassing Moore's law[19] - NVIDIA's platform is installed in several hundred million computers, available in every cloud and from every server maker, powers over 75% of the TOP500 supercomputers, and has ~59 million developers[12] Accelerated Computing and AI - Blackwell offers 40X Hopper inference performance, improving AI factory output[67] - NVIDIA CUDA libraries deliver up to 200X speedup across major workloads[79] - Hopper inference performance increased 5X in 1 year with rapid algorithm innovations enabled by the NVIDIA CUDA ecosystem[102] - NVIDIA Blackwell platform delivers a 25X improvement in energy efficiency for LLM inference compared to the Hopper generation[214] Financial Performance - Data Center revenue accounted for 88% of FY25 revenue, reaching $1152 billion with a 5-year CAGR of 108%[158] - Gaming revenue for FY25 was $114 billion, with a 5-year CAGR of 16%[161] - Professional Visualization revenue for FY25 was $19 billion, with a 5-year CAGR of 9%[161] - Automotive revenue for FY25 was $17 billion, with a 5-year CAGR of 19%[163]

NVIDIA Corporation (NVDA) reported first-quarter fiscal 2026 non-GAAP earnings of 81 cents per share, which missed the Zacks Consensus Estimate by 4.71%. The reported figure soared 32.8% year over year while declining 9% sequentially.NVDA’s fiscal first-quarter revenues climbed 69.2% year over year and 12% sequentially to $44.06 billion. The top line beat the consensus mark by 2.67%. The robust growth in the top line was mainly driven by record sales in the Data Center, Gaming, Professional Visualization, A ...

Core Insights - One Stop Systems, Inc. (OSS) is participating in the NVIDIA GTC Paris Conference on June 11-12, 2025, showcasing its rugged, enterprise-class compute solutions for AI and machine learning applications [1][2] - OSS emphasizes its long-term partnership with NVIDIA and the importance of the GTC Paris event for demonstrating its specialized AI computing solutions [2] - The conference will feature discussions on various AI applications, including generative AI and robotics, attracting developers and business leaders [3] Company Overview - OSS is a leader in AI-enabled solutions designed for edge environments, providing enterprise-class compute and storage products that perform in challenging conditions [4] - The company's product offerings include ruggedized servers, compute accelerators, and storage solutions, utilized across industries such as autonomous trucking, defense, and aerospace [5][6] - OSS addresses the entire AI workflow, from data acquisition to deep learning and inference, positioning itself in the rapidly growing edge computing market [6] Event Details - The NVIDIA GTC Paris Conference is organized in partnership with VivaTech 2025, focusing on real-world applications of AI and accelerated computing [3] - OSS will have a presence at Booth E07, with representatives from its European subsidiary, Bressner, also exhibiting at the conference [2]

Nvidia (NVDA -1.02%) shares fell sharply earlier this year as investors worried about how tariffs and export curbs would impact revenue. However, the stock recouped its losses in May as hyperscale cloud companies raised their capital spending forecasts and the Trump administration revoked the Biden-era AI Diffusion Rule.However, there is another inflection point on the horizon. Nvidia will announce its financial results for the first quarter of fiscal 2026 after the market closes on Wednesday, May 28. The s ...

Nvidia (NVDA -1.10%) is the second-largest company in the world with a market cap of $3.3 trillion as of this writing, and the chip designer has reached this position thanks to its ability to remain ahead of disruptive tech trends over the years.From making graphics cards for personal computers (PCs) to manufacturing powerful artificial intelligence (AI) chips for the training and deployment of powerful large language models (LLMs) to creating digital twins of real-world objects, Nvidia has come a long way ...

Core Insights - NVIDIA has launched the Global Research and Development Center for Business by Quantum-AI Technology (G-QuAT), featuring the ABCI-Q supercomputer, which is the largest research supercomputer dedicated to quantum computing globally [1][14] - The ABCI-Q supercomputer integrates 2,020 NVIDIA H100 GPUs connected via the NVIDIA Quantum-2 InfiniBand networking platform, facilitating unprecedented quantum-GPU computing capabilities [3][2] - The collaboration between NVIDIA and Japan's National Institute of Advanced Industrial Science and Technology (AIST) aims to advance quantum error correction and application development, essential for building practical quantum supercomputers [4][5] Industry Impact - Quantum processors are expected to enhance AI supercomputers in addressing complex challenges across various sectors, including healthcare, energy, and finance [2] - The integration of quantum hardware with AI supercomputing is anticipated to accelerate the realization of quantum computing's potential [4] - ABCI-Q will enable researchers to tackle core challenges in quantum computing technologies, expediting the development of practical use cases [5]

Summary of NVIDIA 2025 Conference Call Company Overview - **Company**: NVIDIA (NVDA) - **Event**: 2025 Conference held on May 18, 2025 Key Industry Insights - NVIDIA is positioned at the center of the computer ecosystem, emphasizing its role in creating new markets and growth opportunities [2][3] - The company has transitioned from a chip manufacturer to an essential infrastructure company, particularly in AI [12][13] - The concept of AI infrastructure is compared to historical infrastructures like electricity and the Internet, indicating its future significance [14][16] Core Product Developments - Introduction of new products aimed at revolutionizing computing, particularly in AI and accelerated computing [22][24] - The launch of the **GeForce RTX 50 series**, which achieved the fastest launch in NVIDIA's history, highlighting the growth of PC gaming [28] - Development of **Grace Blackwell**, a new system designed for inference time scaling, which is now in full production [60][61] Technological Innovations - NVIDIA's focus on **accelerated computing** and the importance of libraries, particularly CUDA, in driving innovation [22][30] - Introduction of **NVLink Fusion**, allowing for semi-custom AI infrastructure, enabling integration with various CPUs and ASICs [87][90] - The **DGX Spark** and **DGX Station** are designed for AI-native developers, providing powerful computing capabilities for research and development [97][100][103] Market Opportunities - Emphasis on the telecommunications industry transitioning to software-defined networks, with partnerships for AI integration in 5G and 6G technologies [40][41] - The potential for AI to transform various industries, including telecommunications, genomics, and medical imaging [34][40] Future Vision - NVIDIA envisions a future where AI is integrated into every aspect of infrastructure, similar to how electricity and the Internet became essential [16][17] - The concept of **agentic AI**, which can reason and act, is highlighted as a significant advancement in AI capabilities [50][52] - The company aims to reinvent enterprise IT by integrating AI capabilities into traditional computing environments [108][112] Financial and Market Impact - The AI infrastructure market is projected to be a trillion-dollar opportunity, with NVIDIA's role as a key player in this transformation [21][22] - The company is building AI factories, indicating a shift from traditional data centers to more advanced computing environments [73][74] Partnerships and Collaborations - Collaboration with major companies like TSMC, Foxconn, and various telecommunications firms to enhance AI infrastructure and capabilities [39][42][95] - NVIDIA's ecosystem includes partnerships with companies like Dell, HPI, and ASUS for product development and distribution [98][99] Conclusion - NVIDIA is at the forefront of AI and computing innovation, with a clear roadmap for the future that emphasizes the integration of AI into all aspects of technology and infrastructure [12][13][21]