Baseten привлёк $1,5 млрд при оценке $13 млрд — Blackbird делает крупнейшую ставку в истории

Baseten closed Series F at $1.5 billion at a valuation up to $13 billion — a record for the AI infrastructure segment. The main surprise was the participation of Australian fund Blackbird VC with a sum that could turn out to be the largest single venture bet in Australian history.

What is Baseten

Baseten is a platform for industrial deployment and maintenance of AI models. Founded in 2019 in San Francisco, the company specializes in "AI inference": running trained models in real products with guarantees on speed, stability, and cost. In essence, Baseten does what AWS Lambda does for server functions — only for neural networks.

An engineer uploads a model, configures the environment, and gets a ready-made endpoint with autoscaling, monitoring, and contractual SLA. There is no need to build and maintain a GPU cluster independently. Over the past two years, the company has shifted focus: from working with individual ML teams to serving large corporate clients.

Industrial enterprises, fintech, and medtech are moving toward their own AI deployments — they need a reliable contractor at the infrastructure level. It is precisely this transition from prototypes to production that created explosive demand and allowed Baseten to grow so rapidly in valuation.

Blackbird's Record Bet

Blackbird VC is one of Australia's most prominent venture capital funds, with a portfolio that includes Canva, Airtasker, and other successful companies from the Asia-Pacific region. Participation in the Baseten round is atypical: Blackbird very rarely invests in American startups, and certainly not at such scales. According to sources, the fund's investment amount could exceed any other single investment in the entire history of the Australian venture market.

This is not just a fund record — it is a signal of a strategic shift: major funds from the Asia-Pacific region are increasingly seeking a stake in American AI infrastructure, rather than in applied products or the models themselves. The structure of the round itself is telling: $1.5 billion is a significant sum even for the American market.

Against the backdrop of partial cooling toward public AI valuations, such a round means that institutional investors remain convinced of years of growth in the infrastructure segment.

Why "Shovels" Are Better Than "Gold"

On the venture market, the thesis is increasingly heard: the biggest money in the AI era is not made on models, but on the tools that service them. Several reasons why this works:

• Models quickly become outdated, deployment platforms do not
• Corporate markets require SLA, audits, and multi-cloud — pure API providers do not offer this
• Price competition between LLM providers reduces model margins but increases demand for infrastructure
• Companies are moving from OpenAI API to their own deployments for data control and economics
• Valuations of infrastructure companies grow faster than applied AI products

It is in this context that it becomes clear why Baseten grew to a $13 billion valuation in just 18 months — a pace atypical even by the standards of a heated AI market.

What This Means

The Baseten round is yet another testament to the fact that the race for AI leadership has shifted from the level of "who will create the best model" to the level of "who will provide reliable infrastructure for their operation." Amazon, Google, Microsoft, and independent players are competing no longer for development, but for the right to serve corporate AI at industrial scales. Whoever builds the most reliable "engine" will capture this market.