Baseten has raised $1.5 billion in a Series F funding round at a valuation of up to $13 billion, making it one of the largest AI infrastructure raises in US history. Announced on June 22, 2026, the round confirms that AI inference, the computational process of running AI models to generate outputs, has become a standalone infrastructure category commanding the same investor attention as cloud computing and semiconductor manufacturing. Baseten processes more than one billion inference calls every day and has grown revenue approximately 20 times year over year.
What Is Baseten
Baseten is a San Francisco-based AI inference infrastructure company that enables developers and enterprises to deploy, scale, and optimize AI models at production speeds. Founded by Tuhin Srivastava, Phil Howes, and Amir Haghighat, Baseten built its platform around the insight that training AI models is only half the challenge. Getting those models to run reliably, cost-effectively, and at scale in production environments requires a different kind of infrastructure expertise entirely. That is the problem Baseten solves, and the market has validated that thesis at extraordinary speed.
Baseten $1.5B Series F Funding Details
The Series F is led by Altimeter Capital, Conviction, and Spark Capital, with Sands Capital and Wellington Management serving as co-leads. Additional investors include IVP, Greylock, 01A, Blackbird, Durable Capital Partners, Verified Capital, Battery Ventures, and D.E. Shaw Ventures. The round uses a split-priced structure with tranches at $13 billion and $11 billion valuations respectively, an arrangement that reflects the staggered timing of investor commitments as the round came together.
According to Business Wire, this round represents a 160 percent increase in valuation in less than five months. Baseten raised a $300 million Series E at a $5 billion valuation just five months before this announcement, which itself came only nine months after a $150 million Series D. That acceleration is without precedent in the AI infrastructure category and reflects the extraordinary pace at which demand for inference capacity is growing.
Baseten’s Scale: 1 Billion Inferences Per Day
Here is the thing about Baseten’s scale. One billion inference calls per day is not an aspirational target. It is a live operational reality as of June 2026. Baseten runs those calls across 87 clusters distributed globally and spanning 18 different cloud providers, a multi-cloud architecture that gives its customers resilience, flexibility, and the ability to optimize cost and latency by routing workloads to the most efficient infrastructure available at any moment.
Revenue growing 20 times year over year at this scale of infrastructure is a genuinely exceptional metric. Most infrastructure companies that reach Baseten’s operational complexity see revenue growth moderate significantly as the business matures. The fact that growth has not moderated suggests Baseten is still in the early innings of capturing its addressable market, even as it processes billions of requests daily. The company is also tripling its headcount in 2026 to keep pace with demand.
AI inference is the new electricity. Every model deployed, every AI product shipped, every enterprise AI workflow activated runs through infrastructure like Baseten’s. Stay ahead of the companies building that foundation.
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Why AI Inference Is Now Its Own Infrastructure War
The rise of Baseten reflects a structural shift in how the AI industry is organized. For the first three years of the generative AI era, most of the investment and attention focused on model training: building the large language models, multimodal models, and specialized AI systems that power AI applications. Training is still critically important, but inference is where the actual economic value of AI gets delivered to end users and enterprises at scale.
Inference infrastructure requires different technical skills, different hardware optimization strategies, and different operational disciplines than training infrastructure. Companies like Baseten that have built deep expertise in inference at scale are now sitting at a strategic chokepoint in the AI value chain. Every AI product that ships, every enterprise AI workflow that goes live, every AI agent that takes action in the world generates inference demand that must be handled by infrastructure providers. Baseten is competing aggressively for that workload, and its growth metrics suggest it is winning.
What Baseten’s Rise Means for US AI Founders
For US startup founders building AI products, Baseten’s funding round is a signal that inference infrastructure is becoming a critical strategic consideration, not just a commodity cost. Choosing the right inference partner affects latency, cost, reliability, and the ability to scale rapidly when a product catches traction. Baseten’s multi-cloud approach and deep optimization capabilities make it a compelling choice for AI founders who need production-grade inference without building that infrastructure themselves.
For investors and AI ecosystem builders, the Baseten round confirms that the inference layer is a category-defining infrastructure investment for the decade ahead, in the same way that cloud computing was in the 2010s. The US AI ecosystem has produced world-leading companies at the model, application, and now infrastructure layers of the AI stack. For more on how this AI infrastructure buildout is playing out across the US, see our coverage of Odyssey’s $310M Series B and its world model platform that trains the physical AI systems of the future.
Key Takeaways
Baseten raised $1.5 billion in a Series F at up to $13 billion valuation on June 22, 2026. The round is led by Altimeter Capital, Conviction, and Spark Capital, with Sands Capital and Wellington Management as co-leads. Baseten processes more than one billion inference calls per day across 87 global clusters on 18 cloud providers and has grown revenue approximately 20 times year over year. The company is tripling headcount in 2026 to meet demand. This round confirms that AI inference has emerged as a standalone, strategic infrastructure category commanding top-tier venture investment at the highest levels of the market.
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