Cloud AI Today - DeepInfra's $107M Boost for AI Inference Expansion

DeepInfra has successfully closed a $107 million Series B funding round aimed at expanding its cloud platform designed for high-throughput AI inference. This development highlights the increasing shift in AI demand from model training to production-scale inference, as enterprises increasingly adopt open-source and agent-driven AI models for improved cost-effectiveness and performance. The funding will facilitate DeepInfra's global expansion and enhance its infrastructure, which optimizes AI inference by handling massive token processing with cost and latency predictability. As the AI landscape evolves, this strategic investment underscores the critical role of specialized inference infrastructure in supporting the next phase of AI application development and deployment.

In other trading, NICE (TASE:NICE) was trading firmly up 21.3% and closing at ₪372.50. Meanwhile, Xanadu Quantum Technologies (TSX:XNDU) softened, down 61% to end the day at CA$19.06.

Oracle's strong demand for AI-integrated cloud services is driving impressive revenue growth as high-value enterprises migrate to its offerings. Discover the full narrative on Oracle's strategic positioning and growth opportunities by clicking here.

Don't miss our Market Insights article "China's Next Winners," where we spotlight China's strategic pivot to AI and innovation—read it now for timely investment insights.

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Best Cloud AI Stocks

  • Oracle (NYSE:ORCL) settled at $180.29 up 4.9%.
  • Microsoft (NasdaqGS:MSFT) finished trading at $413.62 down 0.2%. CGI's recent specialization in Microsoft's AI Cloud Partner Program enhances its capability to deliver secure AI solutions, as announced yesterday.
  • Alphabet (NasdaqGS:GOOGL) closed at $383.25 down 0.6%, close to the 52-week high. On Tuesday, Alphabet presented at the 29th Annual Global Conference in Los Angeles.

Taking Advantage

This article by Simply Wall St is general in nature. We provide commentary based on historical data and analyst forecasts only using an unbiased methodology and our articles are not intended to be financial advice. It does not constitute a recommendation to buy or sell any stock, and does not take account of your objectives, or your financial situation. We aim to bring you long-term focused analysis driven by fundamental data. Note that our analysis may not factor in the latest price-sensitive company announcements or qualitative material. Simply Wall St has no position in any stocks mentioned.

Sources:

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About NasdaqGS:MSFT

Microsoft

Develops and supports software, services, devices, and solutions worldwide.

Very undervalued with outstanding track record and pays a dividend.

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StoxEurope on Koninklijke Ahold Delhaize ·

I ran Ahold Delhaize through a three-model triangulation — DCF, dividend discount, and residual income — with every assumption published and tagged as fact or assumption. The interesting result isn't a number, it's a disagreement: the point estimates run from €20,03 (RIM) through €27,64 (DDM) to €64,91 (DCF), and the pairwise overlaps form two disjoint segments — €20,36–€21,54 and €39,60–€44,56. Between €21,54 and €39,60, no two of the three models agree. [img]https://staticm.fastcomments.com/1784197249786-1000x1000-ad-range-strip.png[/img] Most of the spread is lens properties rather than company drama. A dividend model structurally can't see the roughly half of shareholder returns Ahold pays through buybacks. The book is ~96 % goodwill from the 2016 merger, which pins the residual-income reading low. And ~83 % of the DCF's value sits beyond the explicit five years, so it leans hard on the terminal assumptions. Three honest lenses, three honest answers — the disagreement is the information. Disclosures Position disclosure: The author holds no position in Ahold Delhaize as at 9 July 2026. This valuation is a StoxEurope opinion, based on honest research. Mistakes are possible. This is not investment advice. Do your own research. This article demonstrates a valuation methodology. It is not an investment recommendation, is not personalised to any reader's circumstances, and every figure in it depends entirely on the stated assumptions

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