CompaniesInvestorsPeople
Home
Loading

aVenture is in Beta: research coverage is expanding as we build, so please independently verify key details before making investment decisions.

aVenture is in Beta: research coverage is expanding as we build, so please independently verify key details before making investment decisions.

Get in Touch

  • Contact

  • Request a Demo

  • Request Data Updates

  • Add a Company

Research

  • Companies

  • Investors

  • People

aVenture

  • Download App

  • Pricing

Download the aVenture Research beta for iOS and iPadOSDownload aVenture Research on the Mac App Store

Resources

  • Documentation

  • Use Cases

  • CLI

  • MCP

  • Feature Requests

  • Sitemap

Member

Backed by

Ask AI about aVenture

© aVenture Investment Company, 2026. All rights reserved.

San Francisco, CA, USA

Privacy · Terms of Service

aVenture Investment Company ("aVenture") is an independent research platform providing detailed analysis and data on startups, venture capital investments, and key industry individuals. It is not a registered investment adviser, broker-dealer, or investment advisor and does not provide investment advice or recommendations. The data provided by aVenture does not constitute recommendations or advice, whether by methodology, analysis, AI-generated content, or a statement written by a staff member of aVenture.

aVenture is not affiliated with any of the people, companies, organizations, government agencies, regulatory bodies, or investment funds we provide coverage for on this site unless explicitly stated otherwise. Users assume full responsibility for decisions made based on information obtained from this platform. Links to external websites do not imply endorsement or affiliation with aVenture. Any links that provide the ability to invest in a primary or secondary transaction in a company are for convenience only and do not constitute solicitations or offers to buy or sell an investment. Investors should exercise heightened precaution and due diligence when investing in private companies, especially those not independently audited.

While we strive to provide valuable insights with objectivity and professional diligence, we cannot guarantee the accuracy of the information provided on our platform. Before making any investment decisions, you should verify the accuracy of all pertinent details for your decision. To the fullest extent permitted by law, aVenture shall not be liable for any direct, indirect, incidental, consequential, or financial damages arising from use of this site, whether by consumers of its contents directly or by persons or organizations covered by our research, even if we are advised of the possibility. Our best-efforts processes and correction request forms do not create a warranty or duty of care.

Profiles on this platform may include content generated in part by large language models (LLMs, artificial intelligence) that aggregate publicly available sources (e.g., SEC EDGAR, public filings, press releases). Source attribution is provided where known; always verify statements and claims here against original sources before relying on any data. Content on our site may contain inaccuracies, omissions, or what are commonly called 'hallucinations' if generated in part or in full by AI / LLMs. The risk can also exist even when content is written by a human, as internal and third-party sources may also have inaccuracies for the same or different reasons. While we randomly audit a proportion of content, this is not exhaustive.

We recommend that an independent auditor be hired to verify the accuracy of the information before relying on it for any sensitive decisions. By accessing this platform, you agree not to rely solely on any information generated by AI, aggregated, or sourced or written otherwise on this site, for investment, financial, or other decisions. aVenture assumes no responsibility for inaccuracies, omissions, or hallucinations. You must independently verify all data from primary sources. Use of this platform constitutes your waiver of claims for reliance-based damages, including negligent misrepresentation. To report an error, request a correction, or dispute information about a company or individual, contact us via our request data updates form.

Loading
Loading
Home
News
Nvidia doubles its revenue as demand for AI chips accelerate despite bubble fears

From SiliconAngle

By Mike Wheatley

August 26, 2026

Nvidia doubles its revenue as demand for AI chips accelerate despite bubble fears

Nvidia doubles its revenue as demand for AI chips accelerate despite bubble fears

Nvidia Corp. reported better-than-expected second-quarter earnings and revenue and also delivered bullish guidance for the current quarter and next full year, sending its stock up more than 4% in after-hours trading.

Update: Shares were trading up 7% Thursday morning.

The company reported earnings before certain costs such as stock compensation of $2.22 per share, easily beating Wall Street’s forecast of $2.10 per share. Revenue for the period rose 106% from a year earlier, to $96.22 billion, above the $92.17 billion estimate. Net income for the quarter more than doubled, to $53.95 billion, up from $24.76 billion in the same period one year ago.

For the current quarter, it’s forecasting revenue of $108 billion, higher than the $104.2 billion analyst forecast.

Nvidia said the data center business accounted for the lion’s share of its revenue, generating sales of $89 billion in the quarter, up 117% from a year ago and surpassing the Street’s target of $86.33 billion. The data center unit now accounts for 92% of the company’s total sales.

Nonetheless, Nvidia is still trying to diversify that part of its business. Though hyperscalers, essentially the big public cloud infrastructure giants, still account for an outsized portion of its revenue, sales of AI chips to other customers are picking up steam. During the quarter, Nvidia’s AI clouds, industrial and enterprise or ACIE customers spent $40.3 billion on the company’s chips and data center infrastructure, up 138% on an annual basis. That compares with hyperscaler revenue of $48.7 billion.

The momentum from Nvidia’s ACIE customers likely explains why Nvidia is so confident in its ability to keep growing. In a conference call with analysts, financial chief Colette Kress said the company forecasts fiscal 2028 revenue growth of 70%, far ahead of the Street’s target of 44% growth. She said “customer forecasts point to our growth doubling next year,” adding that the guidance also reflects the “supply constraints” that Nvidia and every other chipmaker has to deal with.

Nvidia sits at the heart of the artificial intelligence boom and has grown tremendously over the last few years. Its chips are widely used to train and serve the world’s most powerful AI models, and increasingly, the company has been providing financial support to many of the companies developing them, helping them to fund the data center infrastructure they need.

It’s a model that has propelled Nvidia’s market capitalization to more than $5 trillion, making it the most valuable publicly traded company in the world. Almost four years after OpenAI Group PBC’s ChatGPT launched, Nvidia is still seeing massive growth, and it doesn’t believe it’s going to slow down anytime soon.

Despite today’s after-hours gain, it’s clear that many investors have cooled on Nvidia’s stock this year. At the market close today, it was up just 13% in the year to date, slightly outperforming the broader Nasdaq index. While the chipmaker’s business continues to grow, it’s also facing increased competition from rivals such as Advanced Micro Devices Inc. and the hyperscalers it serves, such as Google, which is increasingly pushing its own tensor processing units as an alternative to Nvidia’s silicon.

Some investors may be wary of a bubble in the AI industry, which could pop if Nvidia is unable to keep up with its current pace of growth. Increasingly, there have been concerns that Nvidia has only been able to do so because of its investments in other AI firms, providing them with the capital they need to keep spending on its chips.

These fears explain why the market has set such a high bar for Nvidia, said eMarketer analyst Jacob Bourne. “Even extraordinary growth can fail to satisfy investors as scrutiny of AI spending and its financing intensifies,” he explained. “Nvidia still faces a changing competitive landscape, with some of its largest customers developing their own chips while startups target parts of the AI compute market.”

Holger Mueller, an analyst with Constellation Research, said Nvidia still hasn’t shown any real signs of weakness. “It managed to more than double its sales despite already having revenue in the double-digit billions, and that is most likely an unprecedented feat,” the analyst said.

However, the analyst said the scale of Nvidia’s investments means that they’re beginning to show up on its balance sheet despite its enormous revenue growth. “Its net cash used for investing activities is now in the negative, but it also cut back on net cash used in financing,” he said. “So some investors may be questioning how long Nvidia can continue to finance the ecosystem and continue driving growth in its own economy. That will be something to watch in future quarters.”

On the call, Chief Executive Jensen Huang (pictured) did his best to brush off these concerns, telling analysts that he wished he had been even more aggressive with his investments in OpenAI and its rival Anthropic PBC ahead of their initial public offerings, which are expected to launch later this year. “Investing in these companies are a once-in-a-generation opportunity,” Huang said. “The only regret that I have is that I didn’t invest more and sooner.”

Huang added that the AI industry has changed considerably over the past year. He said it has now “reached its inflection point,” noting that the number of companies that need to spin up large clusters of its graphics processing units has increased dramatically.

“This time last year, one lab alone was driving the buildout,” Huang said. “Today, we have a golden age of new AI labs and startups, multiple frontier labs scaling in parallel, a thriving open-model ecosystem and physical AI coming online — with strong momentum across the U.S. and around the world.”

Photo: Nvidia/livestream

View original article on siliconangle.com

Most Recent

Meta releases Muse Wonder AI models built to run personal and professional agents

Meta Platforms Inc. today released Muse Wonder and Muse Wonder Full, two artificial intelligence models it says are its most capable yet at running agents that handle personal and professional tasks. Meta aimed the release at the longer, multistep jobs people hand off to an AI agent. One example it

Oct 12, 2026

Dell and Intel weigh the costs of enterprise AI scalability

Dell and Intel explore enterprise AI scalability as rising token costs prompt customers to weigh cloud models, on-premises options and existing infrastructure.

Oct 12, 2026

Microsoft debuts multichiplet Maia 300 inference accelerator

Microsoft Corp. today pulled back the curtains on Maia 300, its newest internally developed artificial intelligence accelerator. The chip is optimized for inference. Microsoft estimates that it can process 40% more tokens per megawatt than “leading GPU-based systems,” which is likely a reference to

Oct 12, 2026

What to expect from theCUBE’s Smarsh EDGE analysis: Tune in Oct. 15

Smarsh EDGE 2026 puts AI-powered compliance in focus as theCUBE covers communications intelligence, risk detection and governance in financial services.

Oct 12, 2026

Similar Posts

Nvidia earnings takeaways: Huang forecasts 70% fiscal 2028 revenue growth, far above estimates

Nvidia reported better-than-expected results and issued guidance that sailed past analyst estimates.

Aug 26, 2026

Nvidia’s AI empire: A look at its top startup investments

No company has capitalized on the AI revolution more dramatically than Nvidia. Its revenue, profitability, and cash reserves have skyrocketed since the introduction of ChatGPT a little over two years ago — and the many competitive generative AI services that have launched since. And its stock price soared more than eightfold. During that period, the world’s leading high-performance GPU maker has used its ballooning fortunes to significantly increase investments in all sorts of startups but par

Jan 11, 2025

NVIDIA Announces Financial Results for Second Quarter Fiscal 2027

NVIDIA (NASDAQ: NVDA) today reported revenue for the second quarter ended July 26, 2026, of $96.2 billion, up 18% from the previous quarter and up 106% from a year ago.

Aug 26, 2026

Five thoughts on Nvidia’s quarter — and what it means for enterprise IT buyers

Nvidia Corp. delivered another mind-boggling quarter Wednesday. Total revenue reached $96 billion, up more than 100% year over year, with data center revenue at $89 billion and a third-quarter guide of $108 billion. More striking than the quarterly numbers was the guidance Chief Financial Officer Co

Aug 27, 2026