AnthropicAnnouncement
Anthropic raises $65B in Series H funding at $965B post-money valuation
Summary
Anthropic says it has raised $65 billion in Series H funding at a $965 billion post-money valuation, with the round led by Altimeter Capital, Dragoneer, Greenoaks, and Sequoia Capital. The company says its run-rate revenue crossed $47 billion earlier this month and that the financing will support safety and interpretability research, additional compute, and expanded products and partnerships. It reports agreements for up to five gigawatts of new Amazon capacity, five gigawatts of next-generation TPU capacity with Google and Broadcom, and GPU access in SpaceX’s Colossus 1 and Colossus 2; AWS remains its primary cloud provider and training partner. The round includes $15 billion in previously committed hyperscaler investments, including $5 billion from Amazon, alongside strategic infrastructure partners Micron, Samsung, and SK hynix.
Context
Anthropic cites growing enterprise adoption, everyday use of Claude, historic demand, and the need to expand compute capacity as motivations for the funding and infrastructure agreements.
Approach / What changed
The funding will support safety and interpretability research, compute expansion, and the scaling of products and partnerships. Anthropic is also expanding capacity through agreements with Amazon, Google, Broadcom, and SpaceX, while working with Micron, Samsung, and SK hynix on infrastructure.
Takeaways
Anthropic reports that its run-rate revenue crossed $47 billion earlier this month, following continued adoption among global enterprise customers.
Claude is described as the first frontier model available on Amazon Web Services, Google Cloud, and Microsoft Azure.
The round includes $15 billion in previously committed hyperscaler investments, including $5 billion from Amazon, plus strategic infrastructure relationships with Micron, Samsung, and SK hynix.
Source and freshness
- Source
- anthropic.com
- Published
- Added to Yomu
Summaries are generated from the original by a language model. Check the original before relying on it.
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