Baseten Nears $1.5bn Funding Round as AI Inference Race Sends Valuation Soaring to $13bn

Artificial intelligence infrastructure startup Baseten is close to securing a major funding round that would value the company at $13 billion, highlighting the growing investor appetite for businesses powering the next phase of AI adoption.

The San Francisco-based AI inference company is reportedly finalizing a $1.5 billion financing round, according to The Wall Street Journal. If completed, the deal would mark one of the fastest valuation increases in the current AI infrastructure boom, with Baseten’s valuation rising by roughly 160% in less than six months.

The surge comes just five months after the startup announced a $300 million Series E round that valued the company at $5 billion. That funding followed a $150 million Series D round announced only nine months earlier, showing how quickly capital has moved toward companies positioned to benefit from the expansion of AI applications.

The latest financing is expected to be led by Spark Capital, Sands Capital, Altimeter Capital, and Wellington Management, according to people familiar with the matter cited by WSJ.

However, the structure of the deal also highlights a growing feature of the AI investment cycle: split-priced funding rounds.

Unlike traditional funding rounds, where investors typically agree on a single company valuation, split-priced rounds allow different investors to participate at different price levels. Sources told the Journal that some investors in Baseten’s latest round are entering at a $13 billion valuation, while others are investing at an $11 billion valuation.

The approach allows startups to advertise a higher headline valuation while giving investors flexibility on pricing. For venture firms, the strategy can create an opportunity to mark up existing investments quickly, especially in a sector where companies are being valued primarily on future growth expectations rather than current profitability.

Baseten’s rapid valuation jump reflects broader enthusiasm around the AI infrastructure layer, where investors believe the next major wave of value creation will occur.

The Rise Of The “Inference Economy”

Baseten’s growth is tied to what investors have described as an “inference gold rush.” While much of the early AI boom focused on training large language models, attention has increasingly shifted toward inference, the process of running AI models after they have been trained and responding to user requests.

Training creates the model. Inference powers every interaction after that. As companies deploy AI assistants, autonomous agents, and AI-powered software tools, the cost and speed of inference have become critical challenges.

Baseten’s platform is designed to help businesses deploy and operate AI models more efficiently by managing the infrastructure needed to serve AI responses at scale. The company focuses on reducing latency, controlling computing costs, and routing requests to the most suitable model depending on the task.

That includes directing some workloads toward open-source models that can deliver competitive performance at lower costs compared with expensive frontier models.

Early AI investment was dominated by companies developing foundational models, including OpenAI, Anthropic, and Google DeepMind. But as more businesses adopt AI, the bottleneck is moving from model creation to deployment.

Companies need reliable systems that can run AI applications cheaply, securely, and at massive scale. This has created opportunities for infrastructure providers focused on data processing, model hosting, computing efficiency, and AI operations.

The same trend has benefited companies building chips, cloud infrastructure, and specialized AI services. The largest technology companies have committed hundreds of billions of dollars toward AI infrastructure, particularly data centers and advanced computing capacity, as demand for AI workloads accelerates.

Baseten’s expected valuation also raises questions about whether AI infrastructure companies are being priced ahead of fundamentals. A $13 billion valuation implies investors expect significant growth in enterprise AI adoption and continued demand for inference services.

However, AI infrastructure remains expensive to operate. Companies face rising costs from advanced chips, electricity consumption, cloud capacity, and engineering talent. The challenge for startups like Baseten will be converting demand for AI services into durable revenue and margins.

The current AI market is increasingly divided between companies controlling the core models, those providing computing resources, and firms building the tools that allow businesses to use AI effectively.

Baseten is betting that the third category will become one of the biggest winners.

Analysts believe that if enterprises move from experimentation into large-scale AI deployment, inference infrastructure could become one of the most valuable layers of the AI economy. But if AI adoption slows or companies struggle to justify costs, today’s aggressive valuations could face pressure.