205 summarised stories about Acquisitions, each linking back to the original source. Browse all topics →
Fortune 4 ● 16 sources
Nvidia agreed to acquire Hugging Face, a platform for open-source AI models and apps, to strengthen its position in open-source AI.
TechCrunch 1 month ago 32 ● 8 sources
Apple’s John Ternus took over as CEO after Tim Cook stepped down, with Ternus immediately signaling a “huge launch next week.” The transition comes just in time for Apple’s next iPhone event, before he has settled into the role. The leadership shift refocuses shareholder expectations on how Ternus can deliver progress in this AI-driven software era, while Cook stays on as executive chairman for policy relationships.
Tech.eu 1 month ago 11 ● 5 sources
Tech.eu’s Europe roundup reported 50+ funding deals, 10+ exits/M&A items, and investor and industry updates across the region. Wonderful raised $550M at a $5B valuation, while Nvidia confirmed its $12.93B purchase of Hugging Face and Londoners gained the ability to hail autonomous vehicles via Uber with safety drivers. The mix of capital raises, acquisitions, and product rollouts expands AI infrastructure and tooling investment while new autonomy and deeptech bets roll into market pilots.
Tech.eu 1 month ago 15 ● 3 sources
European tech funding slowed in August, with companies raising €3.2 billion across 165 deals. Deal volume dropped from 267 rounds in July to 165 in August. As a result, total funding fell about 63% and deal count fell about 38%, even while AI led sector funding and UK led fundraising.
Tech Funding News 1 month ago 47 ● 16 sources
Nvidia completed its $12.9 billion acquisition of Hugging Face, moving the French-founded open-source AI platform fully into US ownership on September 2, 2026.
SiliconANGLE 1 month ago 15 ● 2 sources
Nvidia agreed to acquire Hugging Face for $12.93 billion, making the open model hub part of Nvidia’s business rather than treating it as just a chip supplier. Hugging Face runs a library of more than 3 million models and hosts about 18 million developers and researchers. The acquisition is expected to fund enterprise-focused tooling for safety evaluation, deployment, and inference so more companies can move from testing open-weight models to production.
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17 October 2026
Microsoft’s MAI-Base-2 announcement sets the pace for the day, shifting attention from flashy model demos to the plumbing that makes large language models practical. The 2T-parameter base model is designed to become a full LLM after additional training, with 80B parameters activated per prompt. Microsoft says it trained the model for 38 days on 16,000 Nvidia GB200 chips using 50T tokens, and that MAI-Base-2 is up to 12× more hardware-efficient. The company’s licensing plan—availability through “trusted partners” on Azure—signals a platform strategy: build a reusable foundation that can spawn multiple task-specific LLM lines, rather than betting everything on a single downstream model.
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