Anthropic has announced a $65 billion Series H funding round, bringing its post-money valuation to $965 billion. The financing was led by Altimeter Capital, Dragoneer, Greenoaks, and Sequoia Capital, with co-leads including Capital Group, Coatue, D1 Capital Partners, GIC, ICONIQ, and XN. Numerous significant investors and strategic infrastructure partners, such as Micron, Samsung, and SK hynix, also participated. The round features $15 billion in previously committed investments from hyperscalers, which includes $5 billion from Amazon. According to Anthropic, its run-rate revenue crossed $47 billion earlier this month, driven by growing adoption of Claude among global enterprises and everyday users. Alongside the financial update, Anthropic disclosed significant expansions in compute capacity. The company signed agreements with Amazon for up to five gigawatts of new capacity, Google and Broadcom for five gigawatts of next-generation TPU capacity, and SpaceX for GPU access in Colossus 1 and Colossus 2. AWS remains the company's primary cloud provider and training partner, while Claude is available on AWS, Google Cloud, and Microsoft Azure. In addition to financial and infrastructure updates, Anthropic is granting employee-like access to METR to evaluate safety, expanding election safeguards, and opening an office in Singapore alongside a memorandum of understanding with the country's government to advance safe AI adoption.
Anthropic raises $65B in Series H funding at $965B post-money valuation
Anthropic has raised $65 billion in Series H funding, valuing the company at $965 billion post-money. The round was led by Altimeter Capital, Dragoneer, Greenoaks, and Sequoia Capital, alongside co-lead and significant investors. The company reported its run-rate revenue crossed $47 billion earlier this month.
Why it matters
The massive $65 billion funding round and $965 billion valuation underline the immense capital requirements and investor confidence driving frontier AI development. Expanding compute partnerships across major cloud providers highlights the race to scale infrastructure for enterprise AI demand.