Archer Aviation Inc. (NYSE:ACHR) is among the Most Volatile Stocks. On January 8, 2026, Archer Aviation Inc. (NYSE:ACHR) stated at CES 2026 that it will use NVIDIA IGX Thor to develop and deploy next-generation aviation artificial intelligence. The firm aims to incorporate the technology into future aircraft iterations, providing high-reliability, real-time onboard computing for safety-critical applications. The companies have been collaborating since early 2025. The firm will launch the integration at Ha ...

Core Insights - EndoQuest Robotics, Inc. is collaborating with NVIDIA to integrate NVIDIA IGX Thor into its next-generation robotic system [1] Group 1: Collaboration Details - The partnership focuses on integrating EndoQuest's visualization system, robotic control, and secure cloud services [1] - The integration will utilize NVIDIA's Physical AI software stack [1]

Core Viewpoint - The robotics industry is entering a transformative phase, akin to the "ChatGPT moment," as highlighted by NVIDIA's CEO Jensen Huang during the 2026 CES, emphasizing advancements in AI and robotics technology [1][4]. Group 1: NVIDIA's Innovations - NVIDIA announced new open models and frameworks for physical AI, accelerating the robotics development lifecycle and enabling the creation of versatile professional robots capable of learning multiple tasks [3][4]. - The introduction of NVIDIA Cosmos and GR00T models, along with the Isaac Lab-Arena for robot evaluation, aims to simplify the training workflow for robots [1][3]. Group 2: Industry Collaboration - Major industry players such as Boston Dynamics, Caterpillar, and LG Electronics are leveraging NVIDIA's technology to launch new AI-driven robots, indicating a shift from experimental prototypes to commercially viable products [4][6]. - Caterpillar is expanding its collaboration with NVIDIA to integrate advanced AI and autonomy into construction and mining equipment [6]. Group 3: Commercialization and Market Potential - The humanoid robot sector is rapidly moving towards commercialization, with companies like UBTECH and Tesla already deploying small batches, projecting a demand of 736,400 units in the automotive sector by 2028 [8]. - The logistics industry is also seeing advancements, with companies like Hangcha Group and Jingsong Intelligent introducing high-load, multi-scenario adaptable products, expecting a demand of 59,100 units by 2028 [8]. Group 4: Market Strategy and Technological Evolution - The humanoid robot market is adopting a dual strategy focusing on both B2B and B2C, with products evolving towards high cost-performance, modular, and platform-based designs [9]. - The integration of AI large models with embodied intelligence is becoming mainstream, with applications expanding from industrial to home and healthcare sectors [9].

Group 1: Core Business Developments - NVIDIA's CEO Jensen Huang announced that the expected sales for the Blackwell and Rubin chips will exceed $500 billion, with an order volume of approximately 20 million GPUs [2][4] - The next-generation Vera Rubin chip, with a computing power of 100 Petaflops, is set to be mass-produced next year, while the Blackwell architecture continues to see strong market demand [5][6] - NVIDIA's data center business achieved $41.1 billion in revenue in the second quarter, a 56% year-over-year increase, accounting for 88% of total revenue [6] Group 2: Strategic Partnerships and Investments - NVIDIA announced a $1 billion investment in Nokia to accelerate the development of 6G and AI network infrastructure, which led to a nearly 23% increase in Nokia's stock price [8] - The company is collaborating with Oracle and the U.S. Department of Energy to build AI supercomputers for scientific discovery, with significant GPU deployments planned [7][11] - NVIDIA's partnerships with Intel and OpenAI aim to enhance AI infrastructure, with investments potentially reaching $100 billion for OpenAI's next-generation AI systems [11] Group 3: Innovations in AI and Quantum Computing - NVIDIA introduced NVQLink, a new interconnect technology that combines GPU computing with quantum processors to accelerate quantum supercomputing [2] - The company is focusing on "Physical AI" applications, collaborating with Uber to develop a large-scale Level 4 autonomous driving network, with plans to expand to 100,000 vehicles by 2027 [12][14] - NVIDIA's new products, such as the BlueField-4 data processor and IGX Thor platform, are designed to support AI-driven manufacturing and real-time AI performance in industrial applications [15][16]

Core Viewpoint - Nvidia is on the verge of becoming the first company to surpass a market capitalization of $5 trillion, driven by strong demand for its GPUs and strategic investments in AI and telecommunications [1][3]. Group 1: Financial Performance and Projections - Nvidia's data center business achieved $41.1 billion in revenue in the second quarter, a 56% year-over-year increase, accounting for 88% of total revenue [9]. - The anticipated revenue from Blackwell and Rubin GPUs is projected to exceed $500 billion by 2026, with an order volume of approximately 20 million GPUs [6][9]. - Nvidia has shipped 6 million Blackwell GPUs in recent quarters, while the previous Hopper architecture shipped 4 million units over its lifecycle, generating $100 billion in revenue [6]. Group 2: Strategic Partnerships and Investments - Nvidia has invested $1 billion in Nokia to accelerate the development of 6G and AI network infrastructure, with the AI-RAN market expected to exceed $200 billion by 2030 [12]. - The company has also partnered with Oracle and the U.S. Department of Energy to develop AI supercomputers for scientific discovery, with significant GPU deployments planned [10]. - Nvidia's collaboration with Intel involves a $5 billion investment to develop AI infrastructure and personal computing products, focusing on seamless integration of CPU and GPU technologies [13]. Group 3: Technological Innovations - Nvidia introduced the Vera Rubin chip, which boasts a computing power of 100 Petaflops, set to enter mass production next year [6]. - The company is advancing "Physical AI" through partnerships with Uber and various robotics firms, aiming to create a large-scale L4 autonomous driving network [14][19]. - New products like the NVIDIA BlueField-4 data processor and IGX Thor platform are designed to support AI factory operations and real-time physical AI applications [20].

Core Insights - CMR Surgical is adopting NVIDIA IGX Thor to enhance its Versius Surgical Robotic System with AI capabilities aimed at improving patient outcomes and supporting continuous learning for surgeons [1][3][5] - IGX Thor is NVIDIA's advanced platform for physical AI and robotics, providing significant computational power and energy efficiency [2] - The integration of AI into the Versius system is intended to empower surgeons rather than replace them, facilitating real-time insights during surgical procedures [5] Company Overview - CMR Surgical is a global medical devices company focused on transforming surgery through its next-generation surgical robot, Versius [10][11] - The company aims to make robotic minimally invasive surgery universally accessible and affordable, collaborating with surgeons and hospitals [11] - Versius has been utilized in approximately 40,000 surgical cases across various specialties, demonstrating its versatility and adaptability in different healthcare settings [5] Technology and Innovation - Versius captures extensive data, including telematic, video, and patient outcomes, to provide meaningful insights to healthcare professionals [4][8] - The system's design allows for easy integration into existing operating room workflows, enhancing the likelihood of robotic minimally invasive surgery [6][7] - Versius features a modular design that enables surgeons to use only the necessary number of robotic arms for each procedure, optimizing efficiency [6][7] Future Directions - CMR Surgical is committed to exploring the potential of NVIDIA IGX Thor to revolutionize AI capabilities within the Versius ecosystem [5] - The collaboration with NVIDIA aims to enhance the intelligent support provided to surgeons, ultimately improving surgical care [3][5]

Core Insights - NVIDIA's market capitalization has reached $4.9 trillion, nearing the $5 trillion mark as it continues to evolve in the AI and computing landscape [2] - CEO Jensen Huang announced significant advancements in GPU technology, including the upcoming Vera Rubin chip, which is expected to generate over $500 billion in visible revenue [3][4] - The demand for GPUs in data centers is surging, with NVIDIA's data center business achieving $41.1 billion in revenue, a 56% year-over-year increase, representing 88% of total revenue [4] Group 1: GPU Technology and Revenue - The Blackwell architecture is currently NVIDIA's core revenue driver, with projected sales exceeding $500 billion for the next five quarters [3] - The Vera Rubin chip, set to launch in 2026, will have a computing power of 100 Petaflops, significantly outperforming previous models [3] - NVIDIA has shipped 6 million Blackwell GPUs in recent quarters, while the previous Hopper architecture sold 4 million units over its lifecycle [3] Group 2: Market Dynamics and AI Infrastructure - The estimated $500 billion revenue from GPUs is comparable to the total global semiconductor market value for 2023, highlighting the critical role of data centers in NVIDIA's valuation [4] - NVIDIA's market potential in China is significant, with estimates suggesting a $50 billion opportunity, although current forecasts do not include this market [4][6] - The company is actively localizing chip production in the U.S. and collaborating with Oracle and the U.S. Department of Energy to develop AI supercomputers [5] Group 3: Strategic Partnerships and Investments - NVIDIA has invested $1 billion in Nokia to accelerate the development of 6G and AI network infrastructure, with Nokia's stock rising 20.86% following the announcement [7] - The company is also collaborating with Intel on AI infrastructure and has signed a letter of intent with OpenAI to deploy at least 10 GW of NVIDIA systems for next-generation AI infrastructure [9][10] - NVIDIA's partnerships extend to various sectors, including telecommunications and manufacturing, as it aims to integrate AI across multiple layers of infrastructure [8][11] Group 4: Physical AI and Real-World Applications - NVIDIA is focusing on "Physical AI," which involves understanding and interacting with the physical world, with applications in robotics and autonomous vehicles [11] - The company is collaborating with Uber to develop a large-scale Level 4 autonomous driving network, with plans to expand the fleet to 100,000 vehicles by 2027 [12] - New products like the NVIDIA BlueField-4 data processor and IGX Thor platform are designed to support AI-driven manufacturing and real-time applications [13]