Key Takeaways
- • Daytona, a San Francisco startup building what it calls an "agentic cloud," raised a $60 million Series B at a $1 billion valuation, according to Fortune, with FirstMark leading the round.
- • About $50 million of the round came from existing investors, bringing Daytona's total capital raised to roughly $91 million, per CEO Ivan Burazin.
- • Daytona says its revenue run rate grew 25-fold between January and September, with average monthly growth of 50.9%.
- • Daytona provisions virtual machine "sandboxes" for AI agents in about 60 milliseconds, versus 30 seconds to many minutes on AWS, Azure or Google Cloud, and counts Anthropic, OpenAI, Nvidia, Cursor, Cognition, Meta and Cohere among customers.
- • Burazin argues CPU demand from agentic AI will eventually exceed GPU spending and forecasts a CPU shortage, a view echoed by AMD's raised server CPU forecast.
Summary
Daytona, a San Francisco-based startup founded in 2023 by Ivan Burazin, Goran Draganić and Vedran Jukić, has raised a $60 million Series B venture round at a $1 billion valuation, the company said on Tuesday, according to Fortune. FirstMark led the round, joined by angel investors including Stripe's Patrick Collison, Shopify's Tobi Lütke, Perplexity's Aravind Srinivas, Quora's Adam D'Angelo and Zoom's Eric Yuan, as well as strategic investors Qualcomm Ventures, Samsung Next and Okta Ventures. Burazin told Fortune that about $50 million of the round came from existing investors, and the new funding brings Daytona's total raised to about $91 million.
Daytona's thesis is that AI agents need their own computing environments. Virtual machines, or "sandboxes," let agents operate when a user's device is offline and can be restricted to only the software and network access a task requires, reducing the risk of unauthorized actions or data exposure. Daytona originally automated software development environments for large enterprises, but after recognizing agents' need for compute, it pivoted and relaunched its product. Burazin said the company's revenue run rate grew 25-fold between January and September, and that it has grown on average 50.9% every month.
Daytona supplies sandboxes to several leading AI developers, which use them for training and testing models. The company says data firm Snorkel has provisioned more than one million sandboxes on its platform, and that its customers include Anthropic, OpenAI, Nvidia, Cursor, Cognition, Meta and Cohere. Burazin claims Daytona can configure a new sandbox in 60 milliseconds by pre-distributing configured machine snapshots onto server drives, compared with the 30 seconds to many minutes typical of hyperscalers such as AWS, Azure and Google Cloud. He argued that rebuilding infrastructure for agents rather than human users would be difficult for those providers. He also pointed to Meta's Muse personal agent, which he said would require $2.8 billion of sandboxes to serve 100 million users on his back-of-the-envelope math.
Burazin distinguishes Daytona from GPU-focused neoclouds such as CoreWeave and Nebius, describing inference clouds as where agents think and Daytona's cloud as where they work. He said he expects spending on CPUs to eventually exceed GPU spending and forecast a CPU shortage. Chipmakers show similar signals: AMD CEO Lisa Su said on the company's May earnings call that agentic AI is increasing demand for server CPUs, and AMD raised its server CPU market growth forecast from about 18% annually to more than 35%, reaching over $120 billion by 2030. Arm has estimated agentic AI data centers could need 120 million CPU cores per gigawatt, four times traditional data centers, and Quartz reported that Intel told some Chinese customers lead times for certain server CPUs had stretched to six months. Burazin said Daytona will use most of the new funds to hire go-to-market sales staff and some engineers.
Daytona's thesis is that AI agents need their own computing environments. Virtual machines, or "sandboxes," let agents operate when a user's device is offline and can be restricted to only the software and network access a task requires, reducing the risk of unauthorized actions or data exposure. Daytona originally automated software development environments for large enterprises, but after recognizing agents' need for compute, it pivoted and relaunched its product. Burazin said the company's revenue run rate grew 25-fold between January and September, and that it has grown on average 50.9% every month.
Daytona supplies sandboxes to several leading AI developers, which use them for training and testing models. The company says data firm Snorkel has provisioned more than one million sandboxes on its platform, and that its customers include Anthropic, OpenAI, Nvidia, Cursor, Cognition, Meta and Cohere. Burazin claims Daytona can configure a new sandbox in 60 milliseconds by pre-distributing configured machine snapshots onto server drives, compared with the 30 seconds to many minutes typical of hyperscalers such as AWS, Azure and Google Cloud. He argued that rebuilding infrastructure for agents rather than human users would be difficult for those providers. He also pointed to Meta's Muse personal agent, which he said would require $2.8 billion of sandboxes to serve 100 million users on his back-of-the-envelope math.
Burazin distinguishes Daytona from GPU-focused neoclouds such as CoreWeave and Nebius, describing inference clouds as where agents think and Daytona's cloud as where they work. He said he expects spending on CPUs to eventually exceed GPU spending and forecast a CPU shortage. Chipmakers show similar signals: AMD CEO Lisa Su said on the company's May earnings call that agentic AI is increasing demand for server CPUs, and AMD raised its server CPU market growth forecast from about 18% annually to more than 35%, reaching over $120 billion by 2030. Arm has estimated agentic AI data centers could need 120 million CPU cores per gigawatt, four times traditional data centers, and Quartz reported that Intel told some Chinese customers lead times for certain server CPUs had stretched to six months. Burazin said Daytona will use most of the new funds to hire go-to-market sales staff and some engineers.
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