
AI is expensive, Ali Ghodsi tells TechCrunch. With so many investors wanting into his latest round, he said yes to more than planned.
Databricks, an AI big-data company, initially planned to raise $1 billion but ended up raising $5 billion at a $190 billion valuation after investor interest unexpectedly surged. A news report about the fundraise published during the company's conference triggered intense investor demand, with select investors collectively expressing $15 billion of interest in the deal. The company decided to accommodate more investors than originally planned to avoid offending existing venture capital backers, a common dilemma for late-stage startups with multiple investor stakeholders. Databricks is investing heavily in AI infrastructure, maintaining multi-billion dollar cloud commitments with major providers and funding a 100-person AI research team, while also pursuing acquisitions in related areas.

Apple has reportedly trained a custom AI model for the China market alongside domestic tech giant Alibaba, a rare cross-border partnership that cuts across growing tensions between Beijing and Washington. The China-focused large language model was developed in partnership with Alibaba and trained with the company's support, Reuters reports, citing three unnamed people familiar with the matter. Developing a custom model of its own marks a departure from Apple's previous strateg

IBM plans to train and certify tens of thousands of consultants on OpenAI's technologies as part of this deal.

Anthropic investors expect the AI startup to float at a valuation of $2 trillion or more in October, a dizzying figure that would eclipse SpaceX and make the AI lab’s debut the largest-ever initial public offering. Half a dozen of the company’s backers told the FT that Anthropic’s rapidly rising revenue would enable it to more than double its current valuation in a planned autumn float. A listing at that level could unlock billions of dollars in gains for the five-year-old company’s early invest
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