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Anthropic Targets $1.4 Trillion Valuation in Landmark IPO

Anthropic has set a $70‑$78 per‑share price range for its Nasdaq debut, aiming to raise up to $93.7 billion with backing from major chip and cloud players. The offering underscores soaring compute demand and the strategic importance of GPU infrastructure for next‑generation AI.

Anthropic IPO announcement with GPU hardware partners highlighted

Anthropic announced an IPO price band of $70 to $78 per Class A share, valuing the company at up to $1.404 trillion on a fully diluted basis. The offering comprises 825 million shares and could generate between $57.8 billion and $64.4 billion, with an additional $26 billion private placement to a consortium that includes AMD, Broadcom, Google, Micron, Microsoft, Nvidia and TSMC.

Google and Nvidia each committed $10 billion, while the underwriters hold an option for 123.75 million extra shares. Anthropic reported $33.2 billion in nine‑month revenue but a $104 billion net loss, driven largely by $900.9 billion in compute and infrastructure commitments. Cash and short‑term investments stand at roughly $132 billion.

Why it matters for GPU / AI infrastructure

The scale of Anthropic’s compute commitments — nearly a trillion dollars — signals unprecedented demand for high‑performance GPU clusters. The participation of silicon vendors (AMD, Nvidia, Broadcom, Micron, TSMC) and hyperscalers (Google, Microsoft) in the private placement highlights a tightening ecosystem where model developers and hardware suppliers co‑invest to secure capacity. For GPU cloud providers, this translates into sustained, large‑scale workloads and a clear signal to expand rack‑level GPU density and interconnect bandwidth.

As a public benefit corporation, Anthropic’s governance structure limits Class A shareholder influence, with founders retaining 50.1 % voting power via Class F shares and a Long‑Term Benefit Trust set to elect a board majority. Trading is expected to begin on Nasdaq under the ticker “ANT” around 19 November.

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By AiGpu Editorial · Editorial rewrite based on public reporting (TechCrunch AI)

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