Nvidia's Data Center Revenue Surges 117% to $89B

Nvidia and other chipmakers continue to ride strong AI demand. Nvidia posted fiscal second quarter 2027 revenues of $96 billion, with data center revenue jumping 117 percent to $89 billion. The company's Vera Rubin platform has entered full production, and it projects fiscal third quarter 2027 revenue of $108 billion, plus or minus 2 percent. Separately, Marvell Technology reported record data center revenues of $2.17 billion, up 46 percent year over year, and expects fiscal 2027 revenue to reach $12 billion.

Key Takeaways

  • Nvidia's data center revenue surged 117 percent to $89 billion in fiscal Q2 2027
  • Marvell reported record data center revenue of $2.17 billion, up 46 percent year over year
  • ASE Technology raised its 2026 capital expenditure budget to $11.5 billion on AI packaging demand
  • 97 percent of enterprises raised cybersecurity budgets, yet 83 percent still faced AI-related security incidents
  • Anthropic's IPO filing reveals a $143 million Q1 2023 net loss and $20 million quarterly cash burn
  • Micron expects fiscal Q1 2027 revenue of $61.5 billion on strong AI memory chip demand
  • Purple Hook adds security checks inside Claude Code, Cursor and Codex
  • Former Google and Microsoft engineer Nate Soares estimates AI extinction risk above 50 percent within ten years
  • S&P 500 fell 1.82 percent as investors shifted away from AI-related stocks
  • Korea Financial Talent Development Institute will add AI ethics and fraud prevention training

Marvell and Sandisk compete as top AI infrastructure stocks

Marvell Technology and Sandisk are both benefiting from growing AI infrastructure spending. Marvell reported record data center revenues of $2.17 billion, up 46 percent year over year, and expects fiscal 2027 revenue to reach $12 billion. Sandisk saw revenues surge 378 percent year over year to $11.03 billion, driven by strong demand for enterprise SSDs. Both companies face different growth paths and risks as AI demand accelerates.

ASE Technology Q3 earnings beat estimates on AI packaging demand

ASE Technology Holding reported Q3 revenues of NT$244.16 billion, up 44.8 percent year over year. Its Assembly, Testing and Materials division grew 51 percent year over year as demand for Leading-edge Advanced Packaging services surged. The company raised its 2026 capital expenditure budget to $11.5 billion to expand capacity. Gross margin improved to 22.1 percent, reflecting stronger AI-driven business mix.

Micron and NVIDIA stocks may benefit from Halloween effect

The Halloween effect is a seasonal strategy where investors buy stocks in November and sell in April. Micron Technology and NVIDIA Corporation are two AI stocks that could gain from this trend. Micron reported fiscal fourth quarter 2026 revenues of $54.23 billion, driven by high-bandwidth memory chip demand for AI. NVIDIA posted fiscal second quarter 2027 revenues of $96 billion, with data center revenue jumping 117 percent to $89 billion.

Micron and NVIDIA poised to surge on seasonal AI investing trend

Investors following the Halloween strategy may consider Micron and NVIDIA for the November to April period. Micron expects fiscal first quarter 2027 revenue of $61.5 billion, supported by strong data center demand for AI memory chips. NVIDIA's Vera Rubin platform has entered full production, positioning it for more AI infrastructure growth. NVIDIA projects fiscal third quarter 2027 revenue of $108 billion, plus or minus 2 percent.

Cognizant study finds AI security incidents rising despite higher budgets

A Cognizant survey of 201 senior cybersecurity leaders found that 97 percent increased cybersecurity budgets over the past year. However, 83 percent experienced an AI-related security incident in the past 24 months. Only 38 percent of enterprises report complete visibility into AI in their environments. The study calls for connecting visibility, detection, remediation and governance into one unified security approach.

More security spending alone cannot protect enterprises in the AI era

A Cognizant poll of 201 senior US cybersecurity leaders found that 97 percent raised their budgets over the past year. Still, 83 percent faced an AI-related security incident in the last 24 months. Experts say companies must connect detection, remediation and governance into one system rather than strengthening areas separately.

Purple Hook adds security checks inside AI coding assistants

Purple Hook is a small check that runs inside tools like Claude Code, Cursor and Codex. It scans code after a push and when a pull request opens, then sends results back to the assistant with file, line, severity and remedy details. The assistant can fix problems before a human reviewer sees them, cutting delays and trust issues.

Chipmakers may use securitization to refinance AI processor sales

Chipmakers such as Broadcom are obtaining vendor financing for large AI processor sales. This financing may later be refinanced through the Rule-144A securitization market. The approach could help companies manage big-ticket sales and improve cash flow.

Korea institute expands training to include AI ethics and fraud prevention

The Korea Financial Talent Development Institute will add practical courses on internal controls, financial fraud prevention and artificial intelligence ethics. Training will be tailored to each company's goals and job roles. Content will be delivered through companies' own learning management systems next year.

Motley Fool highlights another AI stock instead of Anthropic

A Motley Fool press release discusses Anthropic's IPO filing and notes the company plans to raise $500 million. The filing shows a first quarter 2023 net loss of $143 million, revenue of $10 million and a cash burn rate of $20 million per quarter. The article argues another AI stock may be a smarter investment choice.

Malaysia weighs AI in classrooms as parents see benefits and risks

Malaysia is pushing AI into classrooms, but some worry students may rely on it too much. Pravin, a 42-year-old father in Kuala Lumpur, taught his child to use generative AI and found it helpful for explaining hard ideas in simple ways. He said the tool improved his child's understanding. Still, concerns remain about whether AI helps students truly think or just gives easy answers.

WebAnything builds reusable web environments for AI agents

WebAnything is a fully automated framework that creates reusable web environments from real URLs. It uses an Explorer-Builder to collect browser data and a verifier to check and repair candidates. The system built 244 website artifacts across 14 domains and 53 categories. It supports 12,984 executed and accepted tasks and outperformed human-assisted WebHarbor in blind audits.

Ex-Google engineer stops saving for retirement over AI extinction fear

Nate Soares, a former software engineer at Google and Microsoft, believes AI could cause human extinction. He estimates the risk is over 50 percent within the next ten years. Because of this belief, he has quit saving for retirement. He shared these views in a recent interview.

S&P 500 falls as investors move away from AI-related stocks

The S&P 500 fell 1.82 percent while the Nasdaq dropped 2.86 percent and the Dow fell 1.09 percent. Investors sold technology and communication stocks after weak earnings reports. Money moved into defensive sectors like healthcare, materials, and utilities. Analysts said concerns about AI spending and returns drove the shift away from tech.

Sources

NOTE:

This news brief was generated using AI technology (including, but not limited to, Google Gemini API, Llama, Grok, and Mistral) from aggregated news articles, with minimal to no human editing/review. It is provided for informational purposes only and may contain inaccuracies or biases. This is not financial, investment, or professional advice. If you have any questions or concerns, please verify all information with the linked original articles in the Sources section below.

AI Demand Nvidia Data Center Revenue Marvell Technology ASE Technology Cybersecurity Anthropic Micron AI Memory Chip AI Extinction Risk AI Ethics AI Stocks

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