#nvidia

OpenAI Unveils GPT-5.5 "Spud" Model, Marks Accelerated AI Innovation OpenAI announced the release of its latest large language model, GPT-5.5, codenamed "Spud," on Thursday, just one week after competitor Anthropic launched its own advanced model. The release underscores a rapid pace of innovation in the AI sector, with companies increasingly prioritizing efficiency, speed, and enhanced capabilities to outpace rivals. The model represents a significant leap in performance, according to OpenAI co-founder Greg Brockman, who described it as "a new class of intelligence" and a major step toward "more agentic and intuitive computing." Key improvements include a faster, more efficient processing system that requires fewer tokens to achieve complex tasks, enabling the model to handle multi-step workflows with greater autonomy. Despite these advancements, OpenAI emphasized that GPT-5.5 maintains the same real-world response speed as its predecessor, GPT-5.4. The enhancements are particularly notable in areas requiring reasoning over extended contexts and task execution, such as coding, computer operations, general office work, and early-stage scientific research. Users can now input messy, multi-part tasks and let the model autonomously plan, utilize tools, verify its work, and deliver results without extensive step-by-step guidance. Early access teams reported substantial productivity gains, including the ability to review thousands of additional documents and save up to 10 hours weekly on repetitive tasks. Training for GPT-5.5 was conducted using Nvidia’s GPUs, continuing a partnership that has supported OpenAI’s previous models. Nvidia employees gained early access to test the model, and the company highlighted its role in enabling AI systems like GPT-5.#nvidia #anthropic #openai #gpt_5_5 #spud

A Routing Error Exposes OpenAI’s Unreleased Arcanine Model to the Public A critical routing error inadvertently granted the public access to OpenAI’s unreleased Arcanine model for 47 minutes, with someone documenting the entire incident. The leak, which occurred due to a technical oversight, has sparked significant discussion about the company’s operational security and the broader implications for the AI industry. While OpenAI has not officially acknowledged the Arcanine designation, its swift response to the incident, including rapid patching of the error and the removal of associated threads, has inadvertently validated the leak. The company’s silence in this context is interpreted as tacit confirmation of the model’s existence. The incident revealed capabilities far beyond standard code generation and 3D rendering. Researchers observed the model integrating real-time stock market data to construct and execute mock trading strategies. This demonstrated multimodal reasoning, allowing the system to process structured financial data, natural language context, and probabilistic outcomes simultaneously. If the Glacier-alpha architecture truly supports this kind of unstructured, multi-source synthesis at scale, it positions OpenAI as a major contender in the race toward AGI-adjacent performance, a benchmark tied to long-term memory and adaptive reasoning. The leak’s impact extended beyond technical demonstrations. NVIDIA shares surged 3.2% in after-hours trading, driven by the logic that a model of this computational intensity would require substantial hardware infrastructure. Investors are pricing in the likelihood that such a model, once officially released, would significantly boost demand for GPUs, with NVIDIA remaining the dominant supplier of the necessary hardware.#nvidia #openai #ai_industry #arcanine_model #glacier_alpha

Nvidia CEO Jensen Huang Condemns Comparison of China Chip Sales to Nuclear Arms Deals Nvidia’s chief executive, Jensen Huang, has dismissed the notion that selling advanced chips to China is akin to transferring nuclear weapons to North Korea, calling such comparisons “lunacy.” The remark came in response to Anthropic CEO Dario Amodei, who previously likened the practice to “selling nuclear weapons to North Korea and then bragging that the missile casings are made by Boeing” in a January essay. Huang’s defense of his company’s strategy to expand into the Chinese market has sparked heated debate within the tech industry, with critics warning of the risks and proponents emphasizing the economic opportunities. Amodei, a vocal opponent of U.S. companies selling advanced chips to China, argued in his essay that such sales would give China an unfair advantage during a critical period for its AI development. He warned that China’s ability to produce frontier chips in large quantities lags behind the U.S., and that providing it with access to cutting-edge technology could accelerate its rise as a global AI power. “There is no reason to give a giant boost to their AI industry during this critical period,” Amodei wrote, highlighting concerns about the long-term implications for U.S. technological dominance. Huang, however, has consistently defended the decision to sell chips in China, framing it as a necessary step to maintain the U.S.’s influence in the global AI landscape. During a recent episode of the Dwarkesh Podcast, he sharply rebuked Amodei’s analogy, calling it “lunacy” and emphasizing that chips are not equivalent to nuclear materials. “We’re not enriched uranium.#dario_amodei #nvidia #jensen_huang #anthropic #us_china_relations

TSMC Posts Record Profits on Continued AI Demand Taiwan Semiconductor Manufacturing Company (TSMC) reported a 58% surge in first-quarter profits on Thursday, surpassing analyst expectations and setting a new record as demand for artificial intelligence chips remains robust. The company’s results highlight the growing importance of advanced semiconductor technology in the global tech landscape, driven by the proliferation of AI applications and sustained interest from major clients. TSMC’s revenue for the quarter reached NT$1.134 trillion ($35 billion), exceeding the NT$1.127 trillion forecast by financial analysts. This marks the fourth consecutive quarter of record-breaking revenue, reflecting the company’s ability to capitalize on rising demand for high-performance chips. Net income climbed to NT$572.48 billion, compared to NT$543.32 billion in the same period last year. The strong financial performance underscores TSMC’s dominant position in the semiconductor industry, where it leads in manufacturing cutting-edge chips for leading technology firms. Advanced semiconductor chips, including those with 7-nanometer or smaller process nodes, accounted for approximately 74% of TSMC’s total wafer revenue during the quarter. This highlights the company’s strategic focus on producing next-generation chips that enable faster, more efficient computing. Among these, shipments of its most advanced 3-nanometer chips contributed 25% of total wafer revenue, demonstrating the significant market demand for TSMC’s leading-edge technology. The surge in profits is largely attributed to the continued growth of AI-driven applications, which require high-performance processors to handle complex computations. TSMC has benefited from partnerships with major technology companies, including Apple, Nvidia, and AMD.#apple #nvidia #middle_east_conflict #amd #taiwan_semiconductor_manufacturing_company

Nvidia's $2 Billion Investment in Marvell Marks Strategic Shift Toward AI Infrastructure Dominance Nvidia has made a landmark strategic move by investing $2 billion in Marvell Technology, a decision that signals the company’s transformation from a GPU powerhouse to a comprehensive architect of artificial intelligence systems. This partnership is poised to redefine the landscape of AI infrastructure by integrating compute, data pathways, and orchestration under a unified platform, positioning Nvidia as a leader in the next era of AI development. The collaboration with Marvell, a key player in AI infrastructure, is central to Nvidia’s vision of creating a vertically integrated ecosystem. Marvell’s expertise in high-speed Ethernet fabrics, advanced signal integrity, and intelligent storage controllers complements Nvidia’s GPU technology, enabling the seamless integration of networking and storage solutions. This synergy allows Nvidia’s Blackwell and future Rubin systems to ship with pre-optimized networking and storage capabilities, eliminating the need for developers to cobble together disparate components. The result is a cohesive AI infrastructure that prioritizes performance and efficiency. Marvell’s role extends beyond hardware, serving as the "nervous system" that connects isolated GPU clusters into a unified AI platform. By leveraging Marvell’s technology, Nvidia can address critical challenges in AI infrastructure, such as low-latency data movement, storage bottlenecks, and power management at scale. This integration ensures that AI systems operate with minimal latency and maximum throughput, making them more scalable and energy-efficient.#nvidia #ai_infrastructure #marvell_technology #blackwell #rubin

US Stock Market Rises Amid Mixed Tech Sector Performance The US stock market showed strength on Friday, with major indices like the Dow Jones Industrial Average, S&P 500, and Nasdaq maintaining positive momentum. The Dow gained over 99 points, the S&P 500 crossed the 6,600 threshold, and the Nasdaq approached 22,000. However, the market’s overall optimism was tempered by declines in high-profile tech stocks such as Nvidia and Tesla. This divergence highlighted a broader shift in investor focus, with capital being reallocated to sectors perceived as more resilient amid current macroeconomic conditions. The market’s resilience was partly driven by rising oil prices, which remained above $110 per barrel, and ongoing geopolitical tensions in the Middle East. While concerns about potential conflicts in the region persisted, reports of possible ceasefire discussions and diplomatic efforts provided some relief to investor sentiment. These factors, combined with mixed economic data, created a cautious yet positive outlook for the market. Investors are increasingly diversifying their portfolios, moving away from reliance on a handful of tech giants. Energy stocks benefited from elevated oil prices, while financial sectors saw gains linked to policy developments such as the Trump Accounts program. This shift suggests a maturing market where growth is not solely dependent on tech sector performance. However, profit-taking in previously strong stocks like Nvidia and Tesla also contributed to their recent declines, reflecting a balance between optimism and caution. Among the top performers, Focus Universal, Inc. (FCUV) led the rally with a 106% surge, pushing its price to $6.90. This sharp increase signaled aggressive buying interest, particularly in smaller-cap and speculative stocks. Soleno Therapeutics Inc.#dow_jones_industrial_average #s_p_500 #nvidia #tesla #nasdaq

Intel Stock Surges Over 9% on Chip Plant Buyout Announcement Intel’s stock rose more than 9% on Wednesday following the company’s announcement that it is repurchasing a 49% equity stake in its Irish chip fabrication facility from Apollo Global Management. The deal, valued at $14.2 billion, marks a significant step in Intel’s ongoing financial restructuring and strategic realignment. The repurchase comes nearly a year after Intel sold the stake to Apollo for $11.2 billion in 2024, a move that had been part of the company’s efforts to stabilize its finances during a period of declining revenue and competitive pressures. In a statement, Intel CFO David Zinsner emphasized that the 2024 agreement provided the company with “meaningful flexibility” to accelerate critical initiatives. He highlighted Intel’s improved financial discipline and evolving business strategy, noting that the repurchase aligns with the company’s long-term goals. “We have a stronger balance sheet today, and this transaction reflects our commitment to optimizing our capital structure,” Zinsner said. The move also underscores Intel’s efforts to regain its footing in the semiconductor industry, where it has faced challenges from rivals like AMD and TSMC. The stock surge reflects investor optimism about Intel’s turnaround. The company’s financial struggles have been well-documented, with revenue declining 20% year over year in 2022, 14% in 2023, 2% in 2024, and just 0.47% in 2025. These figures highlight a prolonged period of underperformance, particularly in the wake of the AI-driven boom that propelled Nvidia to become the world’s largest publicly traded company. Intel’s lack of meaningful graphics chip technology has left it sidelined in the AI race, a gap that has been a major factor in its recent struggles.#trump_administration #nvidia #intel #apollo_global_management #david_zinsner

ProShares UltraPro QQQ (TQQQ) Faces Sharp Decline Amid Market Volatility ProShares UltraPro QQQ (TQQQ) has dropped 15.5% year-to-date, while its underlying Nasdaq-100 ETF, QQQ, has fallen only 4.3%, highlighting how 3x leverage magnifies market declines through daily rebalancing. This mechanism compounds losses during periods of market instability or declines, as seen in the fund’s performance. The Nasdaq-100 ETF, QQQ, tracks a concentrated index dominated by large-cap technology stocks, with the top seven holdings accounting for 17.4% of the portfolio. The current market environment, characterized by a VIX near 27 and rising Treasury yields, is exacerbating TQQQ’s losses. The VIX, a measure of market volatility, has risen 37% over the past month, creating conditions where TQQQ’s daily reset mechanism amplifies losses. This mirrors the 2022 bear market, where a 35.6% decline in QQQ translated to an 81.7% loss in TQQQ. The compounding effect of daily rebalancing means that even small market oscillations can erode value significantly. TQQQ’s structure, which seeks three times the daily performance of the Nasdaq-100 Index, relies on swap agreements and futures that reset at the end of each trading session. This daily reset locks in losses during prolonged or choppy declines, making the fund particularly vulnerable in volatile markets. For example, a market that falls, recovers slightly, and then declines again can lead to repeated losses for TQQQ holders, even if the underlying index remains flat over the week. The Nasdaq-100’s concentration in mega-cap tech stocks further intensifies the risks. The top holdings, including companies like Nvidia, Apple, Microsoft, Amazon, Tesla, Meta, and Alphabet, collectively represent 17.4% of the portfolio, with the Information Technology sector alone making up 27.#treasury_yields #nvidia #nasdaq_100 #vix #proshares_ultrapro_qqq

Brilliant Growth Stock to Buy Before It Joins Nvidia, Alphabet, and Apple in the $3 Trillion Club Meta Platforms, the parent company of Facebook, Instagram, and WhatsApp, is leveraging artificial intelligence to boost user engagement on its social media platforms. This strategy is driving increased advertising revenue and positioning the company to potentially join the exclusive $3 trillion market capitalization club within the next three years. Currently valued at $1.5 trillion, Meta’s stock could double if it achieves this milestone, according to analysts. The company faces challenges in expanding its user base, as nearly 3.6 billion people already use its apps globally—close to half the world’s population. To sustain growth, Meta is focusing on keeping users engaged for longer periods. AI-powered content recommendations are central to this effort, as they encourage users to spend more time on the platforms, which in turn increases ad exposure and revenue. CEO Mark Zuckerberg envisions a future where every user has a personal AI agent that learns their preferences and curates their social media experience. These agents could also create content for users to share, further boosting activity. Additionally, they may enhance Meta’s ability to sell highly targeted ads to businesses, potentially allowing the company to charge more for advertising slots. Meta’s financial performance in 2025 highlights both its potential and challenges. The company reported $200.9 billion in revenue, a 22% increase from the previous year, but its net income declined slightly due to a one-time tax provision. Excluding this, net profit would have grown by 20% to over $74 billion. However, significant investments in AI infrastructure, which rose to $72.2 billion in 2025, and losses from its Reality Labs division, which lost $19.#apple #alphabet #nvidia #meta_platforms #mark_zuckerberg

Anthropic's Claude Can Now Control Your Computer Claude, the AI model developed by Anthropic, now has the ability to take control of a user’s computer to perform tasks such as retrieving files stored on a hard drive. The feature, announced by Anthropic, requires users to be on a qualifying subscription plan to access it. This development comes as part of Anthropic’s efforts to enhance Claude’s agentic capabilities, allowing the AI to act more independently compared to traditional chatbots. The release follows the rapid rise of the open-source OpenClaw framework, which has enabled AI tools to execute simple commands autonomously on computers or integrated systems. OpenClaw has spurred the creation of various "claws," or AI-driven tools, capable of performing tasks with minimal user input. Nvidia recently introduced NemoClaw, a framework designed to simplify the setup and installation of OpenClaw, though it includes security settings to mitigate risks. Anthropic’s new feature allows Claude to interact with a computer by leveraging connectors with applications like Google Calendar or Slack. If the necessary tools or connectors are unavailable, Claude can manually perform tasks by simulating keyboard and mouse actions. The AI can use programs such as web browsers, development tools, and file-opening applications to carry out these tasks. However, the system will always prompt the user for permission before executing any action, and users can stop the process at any time. While the ability to control a computer offers convenience for specific tasks, it also raises security concerns. Experts warn that agentic AI systems, like Claude, could potentially take significant or abrupt actions without prior warning, increasing the risk of unintended consequences.#nvidia #openclaw #anthropic #claude #dispatch

Anthropic’s Claude now has the capability to use a person’s computer to complete tasks, marking a significant step in the development of AI agents. The company announced the feature, allowing users to send prompts to Claude via a smartphone, after which the AI agent will autonomously carry out the requested task on the user’s computer. This update aligns with Anthropic’s broader strategy to create more versatile AI agents, a concept that gained widespread attention following the viral success of OpenClaw, a similar AI tool. The latest development highlights the growing competition among tech companies to build AI systems that can perform tasks independently. Nvidia CEO Jensen Huang recently described OpenClaw as “definitely the next ChatGPT,” emphasizing the race to develop advanced AI agents. Nvidia has since introduced NemoClaw, an enterprise-focused version of OpenClaw. Meanwhile, OpenAI has also joined the trend by hiring Peter Steinberger, the creator of OpenClaw, to lead efforts in developing the next generation of personal AI agents. Anthropic emphasized that while the new feature expands Claude’s capabilities, its use of computer systems remains in an early stage compared to its existing abilities in coding and text interaction. The company warned that Claude can still make mistakes and that threats to its security are constantly evolving. To mitigate risks, Anthropic has implemented safeguards to minimize potential vulnerabilities, ensuring that Claude will always request user permission before accessing new applications. The feature, called Dispatch, was introduced as part of Claude Cowork, enabling users to engage in continuous conversations with Claude through a phone or desktop interface. This allows users to assign tasks to the AI agent seamlessly.#nvidia #openclaw #jensen_huang #anthropic #claude

Micron's Stock Price Forecast for Late 2027 Micron Technology's stock has surged over 350% in the past year, driven by soaring demand for memory chips fueled by the artificial intelligence (AI) boom. As AI accelerators from companies like Nvidia and Broadcom require significantly more memory than traditional processors, Micron has become a top-performing stock. However, analysts predict the company's stock could face a sharp decline in the coming years due to the cyclical nature of the memory chip industry. The memory chip market is a commodity sector where competition hinges on pricing, and supply-demand imbalances create boom-and-bust cycles. Micron's recent financial results highlight this trend. In the second quarter of fiscal 2026, the company reported revenue of $23.8 billion, a 196% increase from the previous year, driven by record sales of DRAM, HBM, and NAND memory products. Non-GAAP net income jumped 682% to $12.20 per diluted share. Despite these gains, the stock declined after the report as investors questioned the sustainability of the current demand surge. Analysts expect Micron's earnings to peak in fiscal 2027, with Wall Street projecting adjusted earnings per share to reach $92.35 before dropping 78% to $20.57 in 2029. This prediction is based on historical patterns in the memory chip industry, where supply outpaces demand after periods of rapid growth. For example, following the post-pandemic surge in demand for personal computing and data center infrastructure, memory prices peaked in 2022 before collapsing in 2023. Suppliers like Micron then reduced production capacity to stabilize prices, leading to a supply shortage that has driven DRAM prices nearly triple in the past year. The current shortage is attributed to a lack of new production capacity investments during the early stages of the AI boom.#ai #nvidia #micron_technology #wall_street #broadcom

Tesla Stock: A Millionaire Maker or a Gamble? Tesla’s stock has delivered extraordinary returns over the past decade, surging 2,760% as of March 12, outperforming the broader market. Early investors have reaped significant rewards as the company rose to global prominence in the electric vehicle sector. However, the question remains: can Tesla continue to generate wealth for investors in the future? Predicting a company’s trajectory a decade ahead is inherently challenging, especially for a business like Tesla. While optimistic scenarios envision a fully scaled robotaxi service operating globally by 2036, generating high-margin revenue from autonomous vehicles rather than just EVs, such projections remain speculative. The company’s plans to produce 1 million Optimus robots annually could create new revenue streams, but the timeline for achieving these goals is uncertain. Even CEO Elon Musk has not provided a clear roadmap for when these innovations might materialize, making Tesla’s stock a high-risk investment. Despite the uncertainty, Tesla’s current valuation presents a significant hurdle. The stock trades at a price-to-earnings ratio of 367, far above the S&P 500’s 25. For Tesla to maintain its value over the next decade, earnings per share would need to grow at a 31% annual rate, a feat that seems improbable given the company’s recent financial performance. This suggests the market’s optimism may be misplaced, and investors should temper their expectations. The article also highlights other stocks that have seen massive gains through “Double Down” alerts, such as Nvidia, Apple, and Netflix. These examples underscore the potential for high returns but also emphasize the risks of investing in speculative ventures. While Tesla’s past success is undeniable, its future remains a gamble, with no guarantees of continued growth.#apple #netflix #nvidia #tesla #elon_musk

Nvidia CEO Jensen Huang says engineers should be evaluated on basis of how many AI tokens they use Jensen Huang, the chief executive of Nvidia, has suggested that the evolving landscape of artificial intelligence is reshaping the role of software engineers. He argued that companies may soon shift their focus from traditional metrics like the volume of code written to the number of AI tokens utilized by engineers. According to Huang, the integration of AI tools into workflows is becoming so integral that proficiency in leveraging these technologies could determine an engineer’s effectiveness. He emphasized that access to AI compute power is transforming into a critical productivity asset, enabling teams to achieve outcomes more efficiently. Huang’s remarks were made during an appearance on the All-In Podcast, where he discussed the broader implications of AI on the tech industry. He highlighted that the rise of AI is not merely a supplementary tool but a fundamental shift in how software is developed and optimized. Engineers who can harness AI to process vast amounts of data, automate repetitive tasks, and refine algorithms are likely to outperform those relying solely on conventional coding methods. This perspective underscores a growing trend in tech companies to prioritize AI literacy and integration as core competencies for developers. The CEO also pointed out that the ability to use AI tokens—units of data processed by AI models—effectively could become a key differentiator in the industry. He suggested that organizations are increasingly recognizing the value of AI-driven insights and the efficiency gains they bring, which may lead to new performance benchmarks for engineers.#software_engineers #nvidia #jensen_huang #all_in_podcast #ai_tokens

Nvidia's CEO Jensen Huang has proposed a novel compensation model for engineers, offering artificial intelligence tokens as an additional incentive alongside their base salary. This approach aims to reward employees for deploying AI agents, which Huang envisions as productivity multipliers capable of automating complex tasks. During a speech at the GPU Technology Conference, Huang emphasized that engineers would receive a portion of their annual salary—estimated at hundreds of thousands of dollars—as tokens, which can be used to run AI tools and streamline workflows. Huang described tokens as a growing recruitment tool in Silicon Valley, highlighting their potential to enhance productivity by giving engineers access to AI systems. He outlined a broader vision of the workplace, where human workers collaborate with vast fleets of AI agents. These agents, he argued, could handle multi-step tasks with minimal human input, marking a shift toward a workforce that blends biological and digital employees. Huang previously stated that Nvidia’s employees would one day work alongside hundreds of thousands of AI agents, comparing the scale to his company’s 42,000 human staff. The idea of AI-driven labor transformation has sparked debate among investors and economists. Howard Marks, founder of Oaktree Capital Management, warned of an "incredible leap ahead in AI's capabilities," noting that the technology’s ability to act autonomously could redefine its economic impact. Marks suggested this distinction could separate a $50 billion market from a multi-trillion-dollar one. Goldman Sachs estimates that AI could automate 25% of U.S. work hours, potentially displacing 6% to 7% of jobs over time.#nvidia #jensen_huang #goldman_sachs #gpu_technology_conference #oaktree_capital_management

Wall Street opens down as oil prices climb Markets have been absorbing the rising economic impact of the conflict in the Middle East, with the rising price of oil firmly in focus. Qatar has been sounding the alarm, warning that the US-Israeli war against Iran could bring down the economies of the world. Edward Yardeni, President of Yardeni Research, gives his thoughts. Investors seem to be relatively calm, expert says. Tech stocks, led by Nvidia, providing relief to markets. Markets show mixed signals as Iran war enters third week. Could the US be heading for a period of 'stagflation'? US markets calmer after IEA considers releasing oil reserves. Wall Street opens lower as Middle East war continues. US stock market rebounds as oil prices stop spiking. Markets turn south on Tuesday as Iran shock sinks in. Oil prices jump amid developing Middle East crisis. US Stocks subdued despite Nvidia earnings. Wall Street pays attention to Nvidia earnings. Wall Street nervous about AI market impact. Wall Street opens amid fresh tariff turmoil. US government shutdown in October 'dented growth'. Expert says market volatility over AI 'not unexpected'. AI and tech stocks trading lower 'due to high capital costs'. US annualised consumer inflation falls to 2.4 percent. Wall Street weighs up strong jobs numbers. US retail sales stall in December without usual holiday lift. Expert says economy is 'heading for a soft landing'.#middle_east #qatar #nvidia #us_israeli_war #yardeni_research

Telecom and Energy Networks Embed AI to Streamline Workloads Telecom and infrastructure leaders are integrating artificial intelligence directly into networks and physical systems to enable real-time processing, moving away from reliance on remote data centers. This shift allows AI to act on data as it is generated, rather than waiting for centralized servers to process it. The transformation is reshaping how infrastructure functions, turning it into an AI grid capable of supporting applications like industrial automation, fraud detection, and autonomous systems. By processing data at the "edge"—such as cell towers, utility grids, or industrial equipment—companies are reducing latency, enhancing data security, and ensuring critical systems remain operational even with limited connectivity. This approach is being driven by major telecom and technology firms, which are embedding AI into everyday infrastructure to create faster, more responsive systems. At Nvidia GTC, several companies announced advancements in this direction. AT&T, Cisco, and Nvidia are collaborating on an AI Grid, a platform that runs AI directly on telecom networks. This system combines connectivity, software, and hardware to process data closer to its source, transforming telecom infrastructure from a simple data transmission tool into a computing platform. The initiative highlights a broader trend where networks are becoming environments for AI operations, rather than just pathways for data. T-Mobile is also adopting this model, working with Nvidia and Nokia to test AI applications on its 5G network. These systems allow cell towers and other network sites to run AI tasks alongside their traditional functions. By processing data locally, the AI can respond almost instantly, making it ideal for time-sensitive applications.#nvidia #nvidia_gtc #att #cisco #itr

NVIDIA Announces NemoClaw for the OpenClaw Community NVIDIA today unveiled the NemoClaw™ stack for the OpenClaw agent platform, enabling users to install Nemotron™ models and the newly released OpenShell™ runtime with a single command. This integration enhances security and privacy, allowing autonomous AI agents—referred to as "claws"—to operate more reliably and efficiently across both cloud environments and on-premises systems, including NVIDIA RTX PCs, DGX Station, and DGX Spark AI supercomputers. Jensen Huang, founder and CEO of NVIDIA, emphasized that OpenClaw represents a transformative shift in AI accessibility, positioning it as the "operating system for personal AI." He noted that OpenClaw has become the fastest-growing open-source project in history, bridging the gap between users and AI capabilities. Peter Steinberger, creator of OpenClaw, highlighted the platform's potential to empower individuals with secure, self-evolving AI assistants, stating that NVIDIA and its ecosystem are building the tools and safeguards necessary for widespread adoption. NemoClaw leverages NVIDIA’s Agent Toolkit to streamline OpenClaw’s deployment, installing OpenShell to provide open models and an isolated sandbox environment. This setup ensures data privacy and enforces security policies, creating a foundational layer for autonomous agents to function productively while adhering to defined guardrails. The platform supports any coding agent, enabling local execution of open models like Nemotron on dedicated systems or accessing cloud-based frontier models via a privacy router. This hybrid approach allows agents to develop new skills and complete tasks within strict privacy and security boundaries. Always-on AI agents require dedicated computing resources to operate continuously.#nvidia #openclaw #jensen_huang #nemotron #dgx_station

Nvidia CEO Hails OpenClaw as Potential Next-Gen AI Platform Nvidia CEO Jensen Huang has highlighted OpenClaw, an open-source autonomous AI agent platform, as a transformative development in artificial intelligence. During a recent address, Huang emphasized that OpenClaw represents a significant shift in how users interact with AI, moving beyond traditional chatbots to systems capable of completing tasks, making decisions, and taking actions with minimal human input. OpenClaw is designed to go beyond answering questions by enabling AI agents to operate independently. Huang described the platform as a foundational advancement, suggesting it could redefine the capabilities of individuals and organizations. He illustrated this potential with a real-world example: an OpenClaw agent could autonomously study images, learn design tools, iterate on ideas, and refine its output—all without direct user intervention. "They'll go off and learn how to design a kitchen. It will come back with design and reflect on that," Huang explained, highlighting the system's ability to self-improve. To support the widespread adoption of OpenClaw, Nvidia has introduced NemoClaw, an enterprise-grade version of the platform. NemoClaw integrates Nvidia’s software stack and tools to enhance security, scalability, and real-world applicability. The company aims to address concerns about deploying autonomous AI agents by incorporating privacy protections, oversight mechanisms, and enterprise-grade security measures. Huang also emphasized the broader implications of OpenClaw, suggesting it could democratize expertise. He stated that individuals in various professions—such as carpenters or plumbers—could leverage the platform to expand their capabilities, effectively elevating their skills to those of architects or other specialists.#ai #nvidia #openclaw #jensen_huang #nemoclaw

NVIDIA and SAP Collaborate to Drive Enterprise AI Innovation Companies globally rely on SAP applications to manage their operations, with 84% of global commerce involving these systems. As businesses seek to modernize their digital infrastructure, SAP and NVIDIA are working together to integrate advanced AI technologies into enterprise workflows, enabling automation and intelligent decision-making across complex business processes. This partnership aims to help organizations transition to cloud-based environments and leverage AI to unlock new capabilities in their operations. The collaboration focuses on modernizing SAP systems to support AI-driven transformation. By embedding intelligence into business processes, companies can automate tasks and execute increasingly complex operations. This requires technologies that integrate seamlessly with existing systems, operate reliably in mission-critical environments, and meet strict governance standards. SAP and NVIDIA’s joint efforts aim to accelerate this transition by combining NVIDIA’s AI expertise with SAP’s deep business context and enterprise applications. A key component of this partnership is the development of enterprise-grade AI models tailored for SAP environments. NVIDIA’s NeMo™ platform, which includes tools like NeMo Gym and NeMo RL, is being used to train large-scale AI models efficiently. These models are then applied to SAP systems to address modernization challenges, such as updating legacy business logic embedded in SAP applications. For example, SAP has developed SAP-ABAP-1, a foundation model trained on real-world ABAP code and business logic. This model includes specialized tools like StarCoder2 for code completion and Codestral for deeper code analysis, enabling developers to interpret and update decades-old systems more effectively.#nvidia #nvidia_gtc #sap #foxconn #sap_abap_1