NVIDIA Corporation

Nscale, the London-based AI data center developer backed by Nvidia and Microsoft, filed publicly for an initial public offering in New York, seeking to raise as much as $3 billion. The company reported a net loss of $1.02 billion on revenue of $140.6 million for the six months ended June 30, compared with a net loss of $368.9 million on revenue of $10.4 million a year earlier, according to its Friday filing with the US Securities and Exchange Commission. Spun off from a cryptocurrency mining operation in early 2024, Nscale was valued at about $14.6 billion in a March Series C round led by Aker ASA and 8090 Industries, with Nvidia and Nokia Oyj also participating. The company has agreed to add more than 30,000 Nvidia chips to an existing rental agreement with Microsoft at its Narvik, Norway gigafactory, and Anthropic has agreed to spend $45 billion to rent AI cloud computing power from its flagship West Virginia data center development. The offering is being led by Goldman Sachs, JPMorgan Chase and Morgan Stanley, with shares expected to trade on the New York Stock Exchange under the symbol NSCL.

Nvidia, Google and Emerald AI have launched the AI Energy Management Alliance, or AEMA, a coalition that dynamically manages the electricity use of data centers in response to grid conditions. Emerald AI founder and CEO Varun Sivaram said the alliance's founding members are joined by a cohort of 20 launch partners, including the AI lab Anthropic, the semiconductor firm Analog Devices, and the energy companies AES, NRG, Constellation, RWE and National Grid. Sivaram said Emerald AI, which was founded under two years ago, is building with Nvidia and Digital Realty the world's first from-the-ground-up power-flexible AI data center, a 100 megawatt facility in Manassas, Virginia, that comes online later this year. He said Google, one of the founding members, has already done a gigawatt of demand response for its data centers, while Emerald and Nvidia have completed six demonstrations around the world, in London, Phoenix and Virginia. Sivaram said the alliance is talking to the FERC commissioners, state regulators and the administration about a grand bargain in which flexible AI data centers act as good citizens to grids and communities in return for faster and larger connections to the power grid.

Nvidia CEO Jensen Huang said the company expects to sell roughly twice as many chips next year as it does this year, calling it one of his strongest signals yet that AI demand remains far from exhausted. Speaking to reporters Thursday at a summit in Scotland with King Charles III, Huang said the reason is AI's contribution to different industries and economies, and that people in almost every country Nvidia operates in want to invest in AI. The forecast adds to Nvidia's increasingly aggressive outlook: the company recently said it expects roughly 70% growth in the fiscal year ending January 2028, which would put annual revenue around $673 billion. Nvidia does not disclose total chip unit shipments, making Huang's volume forecast difficult to translate directly into revenue, though its most important products include data-center GPUs, particularly Blackwell and next-generation Rubin systems; Huang said last fall that Nvidia had shipped about 6 million Blackwell GPUs over four quarters. The comments come as investors debate whether hyperscaler spending and model-training demand can keep growing at the breakneck pace seen during the first phase of the AI buildout, with the key question being not simply whether Nvidia can double chip volumes but what that mix looks like, since higher shipments of premium Blackwell and Rubin systems could support enormous revenue growth while greater unit volume at lower average selling prices would produce a different margin outcome.

The State Department approved a potential $24.3B sale of 48 Lockheed Martin F-35 Lightning II aircraft to Saudi Arabia, along with 49 Pratt & Whitney F135-PW-100 engines and related equipment, a deal that still requires congressional approval and would strengthen Saudi Arabia's air defense and interoperability with U.S. and allied forces. Separately, Bloomberg reported that the U.S. could postpone announcing new tariffs on China and other countries until after President Donald Trump meets Chinese President Xi Jinping next week; a previously planned trade report was expected to recommend a 7.5% tariff on Chinese goods, while the final rate could potentially exceed the 20% level agreed during earlier talks. Nvidia CEO Jensen Huang said the company expects to sell roughly twice as many chips next year as this year as demand for AI infrastructure expands. China's ChangXin Memory Technologies is preparing to enter the NAND flash-memory market, with Reuters reporting that CXMT plans an R&D production line at its new Beijing plant and has established a research institute in the city, broadening its focus beyond DRAM. OpenAI has hired Brian McCarthy from SpaceX as vice president of worldwide sales, Fortune reported; McCarthy joined SpaceX through its acquisition of Cursor, where he led global revenue and field operations, and previously held senior sales roles at Rubrik, ThoughtSpot, AppDynamics and Qlik.

Nvidia CEO Jensen Huang said demand for artificial intelligence computing is accelerating, describing the resulting investment cycle as a flywheel that is "really, really flying." Speaking with CNBC's Jim Cramer at Dreamforce in San Francisco, Huang estimated that a 1-gigawatt Nvidia AI factory costs about $50 billion to $60 billion to build but can generate roughly $50 billion in annual rental revenue, implying a return on invested capital of about one year. He said token generation has increased 25-fold in less than a year, with open models now accounting for nearly 70% of generated tokens, up from about 30%. Huang also said Nvidia Grace Blackwell systems now rent for about $16 per GPU hour, versus roughly $5 under some contracts signed a year ago, and he expects AI testing to become a third major category of infrastructure alongside training and inference, requiring additional data centers.

The Nikkei index on the Tokyo stock market closed up 882.70 points, or 1.38%, at 65,018.95 points today, September 18, supported by buying back into large technology shares that had been sluggish earlier, and the index briefly surged more than 2% during afternoon trading after investors took the view that the Bank of Japan, or BOJ, still has a gradual approach to raising interest rates. The BOJ decided to raise its policy rate by 0.25% from 1.0% to 1.25% at today's meeting, in line with market expectations. Shares leading the market higher included the nonferrous metals and electrical appliance sectors, while the electric power and gas sector and the oil and coal products sector declined. Masahiro Ichikawa, chief market strategist at Sumitomo Mitsui DS Asset Management, said that if the BOJ continues raising interest rates as planned, the direction of prices and interest rates will be stable, and that this factor will encourage businesses to decide to invest in expanding their operations. Meanwhile, Kyodo News reported that the investment mood also received additional support after Jensen Huang, chief executive officer of Nvidia, took a stance opposing the introduction of new stricter measures on the development of artificial intelligence, in contrast to senior executives at several AI companies in the United States who had earlier called for slowing down the development of such technology.

U.S. electric vehicle maker Lucid Group and Estonian ride-hailing startup Bolt announced on the 17th that they will partner to roll out an autonomous robotaxi business across Europe. As part of a broader effort to expand its autonomous vehicle fleet to 100,000 by 2035, Bolt plans to deploy 25,000 of Lucid's advanced autonomous vehicles in major European cities. The vehicles will be based on a new dedicated electric vehicle platform that Lucid will launch in the future and will use U.S. semiconductor giant Nvidia's autonomous driving architecture, Hyperion. The two companies will jointly develop a vehicle platform compatible with Level 4 autonomous driving under the U.S. Society of Automotive Engineers standards. Bolt's autonomous driving unit will help define requirements for vehicles, software, safety, and passenger experience, and will also handle the vehicle infrastructure, operational systems, and city partnerships needed for full-scale deployment. The partnership reflects in particular how robotaxi development in Europe is shifting from trial deployments to commercial rollout.

Crusoe said Thursday it raised $3.9 billion in a Series F round that pushes its valuation to $30.9 billion. The round was co-led by Atreides Management, Mubadala Capital, and Valor Equity Partners, with Founders Fund, GIC, Nvidia, Qatar Investment Authority, Radical Ventures, and TPG also participating. Crusoe also announced three new board members: Cloudflare CFO Thomas Seifert, Bill Stein, partner and CIO at Primary Digital Infrastructure, and Redwood Materials founder and CEO JB Straubel, who also sits on Tesla's board. The fresh capital will help finance existing data center projects, including a large site in Abilene, Texas, used by OpenAI, as well as smaller, modular AI factories called Spark that can be transported by truck and connected to large power sources almost anywhere. The raise comes 10 months after Crusoe raised $1.38 billion at a $10 billion valuation last October, and follows a reported $13 billion, five-year cloud contract to supply quantitative trading firm Jane Street with GPUs and AI infrastructure.

Nvidia launched CUDA-Q Logical, an open-source orchestration layer built into its CUDA-Q platform, on September 14. The tool is designed to help researchers develop applications for fault-tolerant quantum computers using logical qubits, and it is available on GitHub. Fermi National Accelerator Laboratory, IQM Quantum Computers, Sandia National Laboratories, Infleqtion, QCDesign, and Quantum Motion are already using the technology. The launch supports Nvidia's broader strategy of making its GPUs the key classical computing layer for hybrid quantum-classical systems, though Jensen Huang said in January 2025 that useful quantum computers could still be 15 to 30 years away, a view tied to the unresolved challenge of scaling quantum hardware. Hedge fund ownership of Nvidia rose from 275 funds at the end of Q1 2026 to 285 funds at the end of Q2 2026, while short interest stood at 1.29% of float as of August 31, 2026.

Cisco Systems pushed Splunk AI deeper into tightly controlled enterprise environments with a new AI POD built for on-premises, private-cloud and air-gapped deployments. The validated setup brings together Cisco infrastructure, Nvidia accelerated computing and Kubernetes-based software, letting enterprises run AI workloads without sending sensitive information outside their own environments. Splunk AI Assistant is available now, while Agent Launchpad is scheduled for later this year, and customers can host selected models from Google, OpenAI and Cisco, with Nvidia models expected to follow. Splunk is also adding Tokenomics, a capability designed to track token spending across AI agents and coding tools while estimating future consumption. Cisco shares climbed nearly 3.3% to $111.255 Thursday, though GuruFocus shows the stock trading 49.36% above its GF Value of $74.49, with product pricing and committed customer volumes still undisclosed.

Delta Electronics announced development work to speed deployment of AI factories built on the NVIDIA DSX AI Factory Platform, integrating power and cooling infrastructure from onsite energy through to the AI rack. The company said it bridges energy availability and compute productivity by connecting onsite energy, facility power, row and rack-level power and cooling, and chip-level solutions, aiming to help customers accelerate token production and generate higher AI yield from every available megawatt. Delta's 800 VDC power architecture reduces conversion stages between facility power and compute and delivers up to 98% power conversion efficiency, while high-density In-Row systems deliver up to 800 kW in a single power rack; at the board level, its 800 VDC DC-DC power distribution technology steps down directly to 50 VDC or 12 VDC with peak efficiency up to 98.5%. On the thermal side, Delta's portfolio spans 2.4 MW and 3 MW liquid-to-liquid cooling distribution units, In-Rack cooling, and thermal solutions for next-generation AI racks. Delta also applies prefabrication and modular design, with its Prefabricated AI Modular Data Center Solution integrating 800 VDC In-Row Power and 3 MW of liquid-cooling capacity into infrastructure blocks assembled and tested in the factory. Austin Tseng, President of Delta Electronics Americas, said power quality, GPU load transients and heat must be engineered together all the way into the rack, while Vladimir Troy, vice president of AI infrastructure at NVIDIA, said Delta's expertise in 800 VDC power delivery and liquid cooling will help customers deploy AI factories based on NVIDIA DSX faster.

Huawei has pulled forward its next generation of AI chips, with the Ascend 960DT now slated for an early 2027 launch, roughly three quarters earlier than previously expected, followed by the 960PR in the third quarter, according to Reuters. Nvidia shares gained approximately 2.5% to $219.24 on the news. Huawei's Peerium architecture is designed to eventually link as many as one million processors, while a nearer-term supernode would connect 4,096 chips, directly targeting the system-level advantage Nvidia has built around GPUs, networking and tightly integrated AI infrastructure. Huawei says production still cannot satisfy demand inside China, making manufacturing capacity a potential brake on both domestic adoption and any meaningful overseas expansion. Nvidia's data-center revenue reached $89 billion, accounting for roughly 92.5% of the company's latest $96.2 billion quarter, and it carries a GF Score of 95 out of 100.

Nvidia Corp. has committed $2 billion to Brookfield Asset Management's global artificial intelligence infrastructure fund, according to investor documents that revealed the size of a previously disclosed investment. The AI giant is an anchor investor for the Brookfield Artificial Intelligence Infrastructure Fund, alongside the Kuwait Investment Authority, Brookfield said last year. The fund focuses on the AI buildout, backing factories, dedicated behind-the-meter power solutions and compute infrastructure. Brookfield is raising $10 billion for the AI infrastructure fund as part of a broader plan to raise around $50 billion for the infrastructure group over the next two years, with AI featuring in every strategy. Brookfield is also part of an Nvidia consortium committing to financing AI computing deals totaling more than $500 billion.

Salesforce co-founder and CEO Marc Benioff used his keynote at the annual Dreamforce software festival to warn that the AI industry must not repeat the failures of social media, saying "we cannot let AI be social media 2.0." Speaking to Yahoo Finance's Opening Bid from Dreamforce in San Francisco, Benioff said companies and executives must take absolute responsibility for the applications and technology they build, arguing there needs to be an ethical base in how the industry operates. He noted that Anthropic CEO Dario Amodei and OpenAI CEO Sam Altman both attended Dreamforce and addressed their concerns, while figures including venture capitalist Bill Gurley and Meta CEO Mark Zuckerberg have weighed in on safeguarding people in an increasingly AI agent future. Benioff, who also owns Time Magazine, said businesses must be responsible for their actions and that "the only people who are going to prevent [bad things] from happening are the people who are building that code." Salesforce used the event to announce several AI products, including AIforce and a tie-up with Nvidia on a new model dubbed Koa, which Stifel analyst J. Parker Lane said underscores the open approach the company is taking on the model and UI layers as it leans on its data and context layers as its core moat in the Agentic Era.

Rackspace Technology shares climbed more than 6% after the company announced it is joining Nvidia's Cloud Partner Program, extending its push into sovereign and regulated AI infrastructure. Alongside the partnership, Rackspace introduced its Institutional Sovereign Pod, an architecture combining Nvidia's Blackwell technology with Palantir's Foundry and AIP platforms, and CEO Gajen Kandiah framed the effort as a matter of control over data, models and intelligence for organizations where governance, sovereignty and uptime are non-negotiable. The rally echoes a familiar pattern: shares jumped in May after a non-binding MOU with AMD, then collapsed 33.6% in a single day in July following a guidance cut and an at-the-market program allowing the sale of up to $250 million of shares. The company has not disclosed a customer contract or revenue commitment tied to the Nvidia deal, and its balance sheet still carries roughly $2.8 billion of debt, negative equity and negative free cash flow. Hedge fund ownership rose to 22 funds at the end of Q2 2026 from 8 funds at the end of Q1 2026, while short interest remained extremely high at 22.19% of float as of August 31, 2026.

CoreWeave deployed multi-rack NVIDIA Vera Rubin NVL72 clusters on CoreWeave Cloud on Wednesday, moving the architecture from validation toward broader availability. CoreWeave had already become the first cloud provider to bring up and validate NVIDIA's Vera Rubin NVL72, and in August it won a multi-year agreement with Hudson River Trading to build its next-generation AI research and model-development platform using Vera Rubin NVL72 and Spectrum-X Ethernet. NVIDIA says Rubin is in full production and is designed for training and inference. CoreWeave said AI products and services beyond GPUs, including storage, CPU, networking and software, exceeded $400 million of annual recurring revenue in the second quarter, while booked annual recurring revenue for managed inference rose from $1 million to more than $100 million within months of launch. Active power exceeded 1.5 gigawatts in the second quarter and contracted power reached about 4.2 gigawatts by Aug. 11, with CoreWeave targeting more than 1.85 gigawatts of active power by year-end 2026 and at least 8 gigawatts by 2030, against expected 2026 capital expenditures of $35-$39 billion and second-quarter net interest expense of $640 million.

Nvidia CEO Jensen Huang confirmed at a Scotland tech gathering that the company's chip sales in 2027 are projected to roughly double from 2026, echoing management's August 26, 2026 earnings call guidance for about 70% revenue growth in fiscal 2028. The doubling is being driven by the Vera Rubin platform, which entered full production alongside continued Blackwell deployment and is expected to be the fastest product ramp in Nvidia's history, with per-gigawatt revenue opportunity rising to roughly $40 billion from $25 billion on Blackwell. Nvidia's supply obligations swelled to $279.0 billion, largely tied to memory procurement for Vera Rubin, while guarantee obligations for AI cloud partners are capped at $108.5 billion and financing platforms with Apollo, BlackRock, Blackstone, Brookfield, Goldman Sachs, and KKR are expected to mobilize over $500 billion of third-party capital for AI infrastructure. Sovereign and enterprise AI is growing 100% a year, with sovereign AI revenue up 35% sequentially and more than tripling year over year, and neocloud partners expected to exit the year with eight gigawatts of installed capacity versus roughly three gigawatts at the end of 2025. Consensus EPS for the fiscal year ending January 2028 has climbed from $12.67 ninety days ago to $15.57 today, with 39 upward revisions in the past 30 days and zero cuts, on revenue now pegged at roughly $678 billion.

Amazon chief Andy Jassy said on the company's recent earnings call that he now believes Amazon Web Services could become at least a few hundred billion-dollar revenue business, and very possibly a trillion-dollar annual revenue business in time. The prediction stands out against AWS' current $169 billion annual revenue run rate, and against the $58 million annual revenue run rate AWS reached three years after launch. AWS' AI revenue run rate, roughly three years into the AI boom, now totals more than $25 billion. Amazon said it plans to spend $220 billion this year, up from an earlier forecast of $200 billion, and that even at that level it won't be able to fulfill all of the demand this year and next year. The article was originally published by The Motley Fool.

Corning Incorporated is expanding its partner base across the technology, cloud, networking and telecom sectors, signing a series of multibillion-dollar agreements tied to AI infrastructure buildouts. In the first half of 2026, Corning entered a multiyear agreement worth up to $6 billion with Meta to supply optical fiber, cable and connectivity products for Meta's U.S. data-center expansion, and also signed a multibillion-dollar, multiyear agreement with Amazon to support its AI data center expansion. Corning has additionally formed a multiyear commercial and technology partnership with NVIDIA under which it plans to increase its U.S. optical-connectivity manufacturing capacity tenfold and expand U.S. fiber production by more than 50 percent. Verizon and Corning announced a multibillion-dollar, multiyear agreement covering more than 80 million miles of high-density optical fiber and connectivity solutions from 2027 through 2032, supporting both broadband expansion and the long-haul network needed to connect AI infrastructure. Beyond those large contracts, Corning is collaborating with US Conec as a licensee of the PRIZM TMT optical ferrule technology, designed to accommodate higher fiber counts in tighter spaces for denser AI data centers. Corning faces competition from Amphenol Corporation and Ciena Corporation, and its growth outlook remains dependent on the pace of AI infrastructure investment and the timing of large customer deployments.

Snap disclosed that Salesforce is embedding its Agentforce agent platform into its Specs augmented reality glasses, with NVIDIA supplying the artificial intelligence that lets the device interpret what a worker is looking at and pull up relevant company data, and Amazon contributing its cloud unit's assistant for voice-command tasks. Snap also unveiled a Specs Intelligence service, with a separately sold charging case carrying cellular connectivity through carrier partners including Verizon Communications in the U.S. The device was unveiled in June at $2,195, and Snap did not disclose financial terms for any of the tie-ups, so the move prices a positioning change rather than booked business. Snap stock rose about 4% to $5.95 on the news, while Meta Platforms, the incumbent in consumer AR through Ray-Ban Meta and Reality Labs, held steady with shares up 0.4% to $675.88. Snap stock remains down 28% year to date, and Snap has said shipping begins later this fall in the U.S., the U.K., and France, with a Los Angeles shopping-mall try-on experience starting in October.

Matlantis announced that ENEOS Holdings Corporation is using its Matlantis PFP machine learning potential with NVIDIA ALCHEMI to accelerate the discovery of new catalyst materials. By combining PFP with NVIDIA ALCHEMI, ENEOS HD evaluated approximately 100 million candidate structures for oxygen evolution reaction catalysts, identifying priority candidates for synthesis and experimental validation. The effort reduced a discovery process that traditionally took years to just a few months. PFP is a general-purpose machine learning interatomic potential supporting all 96 chemical elements, while NVIDIA ALCHEMI provides an accelerated computing platform for scaling computational workflows across chemistry and materials science. Takeshi Ibuka, General Manager of the AI Innovation Department at ENEOS Holdings Corporation, said the work demonstrates how large-scale computational screening can fundamentally change the way materials are discovered and developed. Matlantis President and CEO Daisuke Okanohara and Dion Harris, senior director of HPC, Cloud and AI Infrastructure at NVIDIA, also commented on the collaboration.

Nebius Group shares jumped over 6% in extended trading on September 16 after the company revised pricing strategies across its on-demand AI compute resources. The move comes even as the stock remains down roughly 22% over the trailing month amid balance sheet stress, equity dilution fears, and sector rotation. Operational results show significant traction, with quarterly revenue surging 454% year-over-year to $582.3 million in the latest Q2 2026 figures and trailing twelve-month revenue reaching $1.36 billion. Powering that expansion is a contracted backlog approaching $40 billion, anchored by a $27 billion five-year deal with Meta Platforms and a $17.4 billion contract with Microsoft, alongside a $2 billion equity investment from Nvidia. Management also raised year-end 2026 contracted power capacity guidance from over 4 GW to over 5 GW, though short interest sits at 17% of the public float as investors weigh execution risk on an aggressive $20 billion to $25 billion CapEx plan for 2026.

CoreWeave is expanding its capabilities for next-generation AI workloads with the deployment of multi-rack NVIDIA Vera Rubin NVL72 clusters on CoreWeave Cloud, alongside two new capabilities for its AI Object Storage platform: cross-region write acceleration and a lower-cost Archive tier. The multi-rack Vera Rubin NVL72 deployment allows hundreds of NVIDIA Rubin GPUs to operate as a single scale-out cluster, with each NVL72 rack combining 72 Rubin GPUs with 36 Vera CPUs, NVIDIA NVLink 6, ConnectX-9 SuperNICs and BlueField-4 DPUs, connected across racks using NVIDIA Spectrum-X Ethernet networking and automated through CoreWeave's Mission Control platform. CoreWeave says its Local Object Transport Accelerator caches data locally and can reduce latency by up to 8x compared with traditional storage-cluster reads while delivering up to 7 GB/s of throughput per GPU, while the new cross-region write capability lets customers write data locally as CoreWeave replicates it to another region in the background. The company faces intensifying competition in the AI cloud market from Microsoft and Nebius Group N.V., which plans to invest £1.7 billion in U.K. AI infrastructure and expects connected power capacity to reach roughly 800 MW to 1 GW by 2026 end. CoreWeave shares have gained 24.4% year to date against the Internet Software industry's fall of 0.6%, and the Zacks Consensus Estimate for CRWV's earnings for the current year has been revised downward over the past 60 days.

UBS told investors Thursday that the Federal Reserve's latest interest rate increase should not derail the equity rally, even as policymakers signaled more tightening to come. The Fed unanimously raised its target range by 25 basis points to 3.75% to 4.00%, with Chair Kevin Warsh saying officials had "removed a dose of accommodation" and that broad financial conditions were hard to describe as restrictive. Despite the hawkish tone, with 16 of 18 officials now expecting at least one more hike this year, UBS said much of the tightening is already priced in, noting markets had braced for nearly four increases over the cycle versus UBS's forecast of two. The bank pointed to the Fed's upgraded growth forecasts and strong August retail sales, which rose 1.2%, as evidence the tightening is manageable, and forecast industry AI capital spending rising to $1.2 trillion in 2027 from $900 billion. UBS also forecast S&P 500 profit growth of 25% in 2026 and 14% in 2027, recommending diversified exposure while avoiding rate-sensitive concentration.

Total S&P 500 earnings are currently expected to increase +24.0% from the same period last year on +11.3% higher revenues, according to Zacks Director of Research Sheraz Mian, with 14 of the 16 Zacks sectors expected to enjoy positive earnings growth and 6 sectors producing double-digit growth. Conglomerates, at -35.4%, is the only Zacks sector expected to post lower Q3 earnings versus the year-earlier period, and the quarter is on track to be the 8th straight quarter of double-digit earnings growth for the S&P 500 index. Micron and Nvidia continue to be material contributors to the Tech sector's growth picture; excluding these two companies, Q3 earnings for the rest of the Tech sector would be +23.7% versus +42.0% otherwise. Since the start of Q3, the Energy sector has enjoyed the most pronounced upgrade to its earnings outlook, reflecting elevated oil prices as a result of the Persian Gulf situation, while Aerospace, Industrial Products, Tech, Autos, Transportation, Finance and Utilities have also seen positive estimate revisions. The Tech sector remains a major contributor to aggregate earnings growth, with Q3 earnings growth dropping to +14.5% once the sector's contribution is excluded from the index.