Category: Emerging Technologies

  • Nvidia Makes Minority Investment in Data-Center Power Developer Cloverleaf

    Nvidia Makes Minority Investment in Data-Center Power Developer Cloverleaf

    Nvidia has made a minority investment in privately held Cloverleaf Infrastructure, a company that arranges power and site infrastructure for AI data-center projects across the United States, the companies said on Friday, August 21, 2026, according to Reuters.

    Chipmaker Moves Further Upstream Into Power

    Financial terms of the investment were not disclosed, but the Wall Street Journal reported the same day, citing people familiar with the deal, that Nvidia was expected to invest up to several hundred million dollars. Cloverleaf works with utilities, energy providers and investors to secure power and other infrastructure for data-center sites, and the company says it has delivered multiple gigawatt-scale projects across North America since its founding in 2024. As part of the arrangement, Cloverleaf will deploy Nvidia’s DSX platform to help optimize decisions on site selection, power, cooling and computing infrastructure for the data centers it develops.

    J.P. Morgan Securities served as exclusive financial advisor and Kirkland & Ellis as legal counsel to Cloverleaf in structuring the deal, according to trade publication POWER.

    Part of a Broader Pattern of Financing Data-Center Buildout

    The Cloverleaf investment came just days after Nvidia announced a separate $1.5 billion investment in SoftBank-owned SB Energy to support the PORTS-Pike technology campus, a 10-gigawatt, OpenAI-linked data-center project in Pike County, Ohio. Nvidia CEO Jensen Huang said of that earlier deal that “AI is becoming infrastructure — the foundation for intelligence in every industry — and land, power and shell have become vital.” Taken together, the two deals illustrate how Nvidia has begun taking a more direct role in financing and developing the data centers that ultimately buy its AI computing systems, rather than simply supplying chips to third-party developers. Power availability, rather than chip supply, has increasingly become the binding constraint on how quickly new AI data-center capacity can come online.

    Sources

  • XPeng’s Robotics Unit Raises $900 Million at $6.3 Billion Valuation

    XPeng’s Robotics Unit Raises $900 Million at $6.3 Billion Valuation

    Chinese automaker XPeng said on Monday, August 24, 2026, that its robotics business had raised more than $900 million in its first funding round, valuing the unit at over $6.3 billion and setting a record for a single private financing in China’s embodied AI sector, according to Reuters.

    Record Round for a Standalone Robotics Business

    The round was led by IDG Capital, with Tencent and Alibaba participating as strategic investors, XPeng said in a statement. The financing establishes a standalone market valuation for XPeng’s robotics operation, separate from its automotive business, and will fund robotics hardware and software development, training and refinement of XPeng’s Physical AI models, collection of high-quality training data, construction of mass-production infrastructure, and international expansion, according to the company.

    At the center of the robotics unit’s strategy is IRON, XPeng’s next-generation general-purpose humanoid robot, which the company says combines a human-like physical design with an internally developed AI and control architecture spanning hardware, software, processors and motion systems. XPeng has said IRON features 76 degrees of freedom across its body, including 21 in each hand. The company plans to begin mass production of IRON by the end of 2026, with initial deployments at its retail stores and industrial campuses, followed by commercial sales and deliveries in China and overseas markets in 2027. XPeng CEO He Xiaopeng said in June he would personally lead the robotics business as the company pushes toward mass production.

    Funding Comes Amid Pressure on XPeng’s Core Business

    The robotics financing arrives as XPeng’s automotive business faces intensifying competition from domestic Chinese manufacturers and from Tesla in both overseas and domestic markets. According to AI News, XPeng’s publicly traded shares were down more than 7 percent on the day the funding was announced, with a roughly 51 percent decline over the preceding 12 months — underscoring that investors are pricing the robotics division well ahead of, and somewhat independently from, the parent company’s struggling share price. The split suggests investors see China’s embodied-AI and humanoid-robotics race as a distinct growth story from XPeng’s core electric-vehicle competition.

    Sources

  • Nvidia in Talks to Invest in Perplexity at $30 Billion-Plus Valuation

    Nvidia in Talks to Invest in Perplexity at $30 Billion-Plus Valuation

    Nvidia is discussing an equity investment in Perplexity as part of a new funding round that would value the AI search startup at more than $30 billion, The Information reported on August 23, 2026, citing people familiar with the discussions. Reuters also reported the talks but said it could not independently verify the details.

    A Fast-Rising Valuation

    The prospective round would put Perplexity’s valuation more than 50 percent above the $20 billion mark it reached in a September 2025 round, and above the $23 billion valuation reported in a subsequent January 2026 financing, according to the reporting. Perplexity’s annualized revenue has roughly tripled this year, climbing from about $250 million to more than $750 million, a jump largely attributed to “Perplexity Computer,” an AI agent product that automates multi-step professional tasks and drives significantly higher token consumption than conventional search queries. At $750 million in annualized revenue, a $30 billion valuation would price the company at roughly 40 times sales.

    Nvidia is not a new backer: it previously participated in Perplexity’s Series B in January 2024, its unicorn round the same year, and an $18 billion extension round in July 2025 alongside SoftBank Vision Fund 2, NEA and IVP. Per The Information, Nvidia had also weighed a technology-licensing arrangement and hiring some of Perplexity’s staff before the conversation shifted toward a straight equity stake.

    Search as AI-Agent Infrastructure

    Nvidia CEO Jensen Huang has previously said in interviews that Perplexity is his personal go-to AI assistant, and Nvidia has functioned as something of a financial backstop for AI startups in recent years, investing in companies that in turn spend heavily on its chips. Perplexity CEO Aravind Srinivas has said he is considering a public listing around 2028. The talks come as Perplexity competes not only with Google and OpenAI’s distribution advantages but with agent-native search challengers such as Exa, which Nvidia’s venture arm has also backed.

    As of publication, neither Nvidia nor Perplexity has confirmed the terms of the discussions publicly, and the reported valuation and structure could still change before any deal is finalized.

    Sources

  • Anthropic Investors Reportedly Target $2 Trillion Valuation for October IPO

    Anthropic Investors Reportedly Target $2 Trillion Valuation for October IPO

    Anthropic investors are pushing for a valuation of at least $2 trillion for the AI company’s planned initial public offering, which could launch as soon as October 2026, according to the Financial Times. If it materializes at that level, the listing would be the largest IPO in history, surpassing SpaceX’s $1.77 trillion debut in June 2026.

    A Valuation Built on Projected Growth

    Six Anthropic backers told the Financial Times that the $2 trillion figure comes from investors and bankers circling the deal rather than from Anthropic itself; senior executives have not confirmed an IPO valuation target even in private conversations, per the FT’s reporting. Anthropic was last valued at roughly $965 billion following a private round in May 2026, meaning a $2 trillion debut would roughly double that mark in under half a year.

    The case rests heavily on revenue trajectory. Anthropic said in May that annualized revenue had exceeded $47 billion, and backers now expect that figure to reach between $100 billion and $120 billion by the end of 2026. “If Anthropic is growing 800 per cent a year, you’d think at the incredibly low end they would trade at 30 times [revenue],” one investor told the FT — a multiple that would actually imply a $3 trillion valuation. Investors have pointed to AI-adjacent public companies such as Palantir and Nebius, which have traded near 55 times revenue this year, as rough comparables in the absence of a direct publicly listed rival. Morgan Stanley, Goldman Sachs and JPMorgan are reported to be leading the offering.

    Risks Facing the Record Bid

    Anthropic’s path to a record-setting debut carries acknowledged risks. The company’s flagship model costs more than two and a half times as much to use as OpenAI’s leading product, according to data from AI analysis firm Artificial Analysis cited in the reporting, while lower-cost Chinese open-weight models continue to close the capability gap. Revenue growth also slowed in June after the U.S. Commerce Department imposed a temporary export control on Anthropic’s top models, though investors told the FT that business rebounded afterward. Nearly $100 billion in venture capital, sovereign wealth and institutional money has flowed into Anthropic during 2026 alone, underscoring how much investor appetite already assumes continued hypergrowth.

    Because the valuation target originates with investors and bankers rather than an official filing or company confirmation, it should be read as a market expectation rather than a settled figure. Anthropic has not publicly disclosed IPO plans, pricing, or timing as of this writing.

    Sources

  • SoftBank Plans $6.3 Billion Retail Bond Sale to Fund OpenAI Investment Commitments

    SoftBank Plans $6.3 Billion Retail Bond Sale to Fund OpenAI Investment Commitments

    SoftBank is planning a $6.3 billion retail bond sale, described by Bloomberg Technology as a record issuance, to help raise funds for its investment commitments to OpenAI, according to reporting published August 24, 2026.

    What was reported

    The bond sale would be aimed at Japanese retail investors and is intended to support SoftBank’s continued financial commitments as part of its investment relationship with OpenAI. The report was one of several pieces of AI-financing news that broke over the same weekend, alongside Alibaba’s Hong Kong share placement and continued reporting on rising AI server costs.

    Why it matters

    SoftBank has positioned itself as one of the largest financial backers of OpenAI’s infrastructure ambitions, and a bond sale of this size aimed at retail investors — rather than solely institutional capital — reflects how large a role AI-related financing has come to play in SoftBank’s overall capital strategy. Taken together with Alibaba’s share placement and reports of rising AI hardware costs the same week, it underscores how much new capital the current AI buildout requires across debt, equity and retail bond markets simultaneously.

    Sources

    More coverage like this is available on Technology News.

  • Alibaba Raises $10.2 Billion in Hong Kong Share Placement to Fund AI Push, Shares Fall 10%

    Alibaba Raises $10.2 Billion in Hong Kong Share Placement to Fund AI Push, Shares Fall 10%

    Alibaba raised $10.2 billion through a Hong Kong share placement to help fund its artificial intelligence buildout, in what CNBC and Bloomberg Television described as the largest follow-on stock offering in Hong Kong’s history, with the news breaking August 24, 2026, and Alibaba’s shares falling roughly 10% in response.

    What was announced

    The capital raise is aimed at supporting Alibaba’s continued investment in AI infrastructure as the company competes with global cloud and AI providers for compute capacity. Coverage described the share placement as taking the lead in what Bloomberg characterized as a broader race among Asian technology companies to fund AI expansion through public markets.

    Why it matters

    The scale of the offering, and the market’s roughly 10% negative reaction, illustrates the tension investors are currently pricing into large AI infrastructure bets: heavy capital spending is seen as necessary to remain competitive in AI and cloud services, but it also raises near-term dilution and return-on-investment questions for shareholders. Alibaba’s move follows a broader pattern this year of major technology companies — including US hyperscalers — turning to debt and equity markets to fund AI data center and chip commitments.

    Sources

    More coverage like this is available on Technology News.

  • Nvidia Customers Reportedly Warned of AI Server Price Hikes as Groq Deal Moves Forward

    Nvidia Customers Reportedly Warned of AI Server Price Hikes as Groq Deal Moves Forward

    Nvidia’s largest server customers have been told to expect price increases of more than 15% in many cases for AI servers, driven by rising memory chip costs, Bloomberg reported over the weekend of August 22–23, 2026, with the story continuing to be discussed heavily in tech and financial media on August 24. Separately, CNBC reported that Nvidia said racks built with hardware from Groq — in which Nvidia recently made a roughly $20 billion related investment — will come online later this year.

    What is driving the increases

    According to Bloomberg’s reporting, the price increases are being driven primarily by soaring memory chip costs rather than by Nvidia’s own component pricing, as server makers pass through higher costs for the memory needed to build AI-optimized systems. The report landed the week Nvidia is scheduled to report quarterly earnings, adding to investor focus on demand signals for the company’s AI hardware.

    Why it matters

    Rising AI server costs affect every organization planning large-scale data center buildouts, including security, video analytics and AI-driven monitoring platforms that increasingly depend on GPU-accelerated infrastructure. Higher per-server costs can slow the pace at which cloud providers and enterprises expand AI compute capacity, even as demand signals — including Nvidia’s push to bring Groq-linked infrastructure online this year — suggest that AI infrastructure investment is continuing at a rapid pace despite the added cost pressure.

    Sources

    More coverage like this is available on Technology News.

  • UAT-10147 Uses AI to Scale Server Attacks, Deploys SPECTRE With EDR Bypass and Linux Rootkit

    UAT-10147 Uses AI to Scale Server Attacks, Deploys SPECTRE With EDR Bypass and Linux Rootkit

    A cybercrime group tracked as UAT-10147 is using artificial intelligence tools to help scale attacks against internet-facing servers, and is deploying a malware toolset called SPECTRE that includes endpoint detection and response (EDR) evasion capabilities and a Linux rootkit component, according to a report published by The Hacker News on August 24, 2026.

    What the campaign involves

    Reporting describes UAT-10147 as using AI-assisted techniques to accelerate reconnaissance and exploitation against server infrastructure, rather than relying solely on manual attack chains. Once inside a target environment, the group is reported to deploy SPECTRE, which combines capabilities to bypass or blind EDR tooling with a Linux-focused rootkit intended to maintain stealthy, persistent access.

    Why it matters

    The use of AI-assisted tooling to scale attacks against server infrastructure reflects a trend that both offensive and defensive researchers have flagged repeatedly through 2026: attackers are using automation and AI assistance to compress the time between reconnaissance and exploitation, while defenders increasingly rely on AI-assisted detection to keep pace. A rootkit paired with EDR-bypass capability is also a reminder that Linux server estates — often assumed to be lower-risk than Windows endpoints — remain a high-value target, particularly where detection tooling coverage is weaker than on the desktop fleet.

    Sources

    More coverage like this is available on Technology News.

  • World Humanoid Robot Games in Beijing Showcase Machines Outperforming Human Athletes

    World Humanoid Robot Games in Beijing Showcase Machines Outperforming Human Athletes

    The World Humanoid Robot Games, held in a Beijing stadium repurposed from the 2022 Winter Olympics, put humanoid robots through athletic competitions this week, with CBS News reporting on August 24, 2026, that some machines were able to outrun and outjump even top human Olympians in specific events.

    What happened at the Games

    Coverage of the event shows humanoid robots competing across athletic-style events, with some falling, catching fire, or crashing into safety barriers — described by observers as part of the process of refining the machines rather than a sign of failure. Wu Changfeng, founder of Chinese robotics company Unitree, which recently completed a high-profile initial public offering, was quoted saying that while humanoid robot progress has been striking, the industry is likely still around a decade away from a breakthrough moment comparable to the emergence of large language model chatbots.

    Why it matters

    Public athletic showcases like the World Humanoid Robot Games are as much a signal of national industrial strategy as they are a technology demonstration: they highlight China’s investment in humanoid robotics manufacturing and give companies a controlled environment to test mobility, balance and actuator performance outside the lab. For the security and defense-adjacent technology sector, commentators quoted in coverage of the Games have also raised the longer-term question of how advances in humanoid mobility and durability could eventually intersect with military and security robotics applications, even as researchers caution that general-purpose capability remains years away.

    Sources

    More coverage like this is available on Technology News.

  • Security Technology Outlook 2027: Ten Technologies to Watch

    Security Technology Outlook 2027: Ten Technologies to Watch

    The next phase of security technology will be defined less by individual devices and more by software intelligence, sensor fusion and infrastructure-scale sensing. Ten areas deserve particular attention heading into 2027.

    1. AI agents for security operations

    AI is moving from simple detection toward workflow assistance: searching video, correlating alarms, preparing incident summaries and guiding operators through procedures.

    2. Natural-language video investigation

    Operators will increasingly search large video archives using ordinary language, reducing the time required to find relevant footage.

    3. Sensor fusion

    Radar, thermal, visible video, access events, acoustic sensing and environmental data will be combined to improve confidence and reduce false alarms.

    4. Edge AI

    More analytics will run in cameras, gateways and sensing interrogators, reducing latency and bandwidth dependence.

    5. Distributed fiber sensing

    DAS and DTS are expanding from specialized industrial tools into broader infrastructure intelligence platforms.

    6. Mobile and wallet credentials

    Physical access is shifting from plastic cards toward secure mobile identity and wallet-based credentials.

    7. Hybrid cloud security platforms

    Enterprises will combine cloud management with local recording and edge resilience instead of choosing a purely cloud or purely on-premise model.

    8. Autonomous inspection

    Drones and ground robots will increasingly handle repetitive patrol and inspection tasks in controlled environments.

    9. Cyber-physical convergence

    Security, OT and IT teams will share more telemetry and incident workflows as building and infrastructure systems become networked.

    10. Privacy-enhancing analytics

    Masking, selective disclosure, metadata-first search and stronger governance will become competitive requirements rather than optional features.

    Conclusion

    Security Technology Outlook 2027: Ten Technologies to Watch should be evaluated as part of a broader operational architecture. The strongest deployments combine suitable sensing technology, resilient communications, clear procedures and measurable performance rather than relying on a single device or headline specification.