Can Baseten funding clear a split valuation as high as $13 billion only five months after the AI infrastructure startup was valued at $5 billion?
Baseten is finalizing a $1.5 billion fundraising round for its AI inference software layer, according to PYMNTS, citing a Wall Street Journal report published Thursday, June 18. The company helps customers run, optimize, and train open-source artificial intelligence models, with computing power sourced from 20 different cloud providers, per the report.
Can Baseten funding really price the same round at $11 billion and $13 billion?
The reported deal structure is the first thing to watch. PYMNTS says the round has a dual-tiered setup: some investors are expected to enter at an $11 billion valuation, while others invest at a $13 billion valuation.
That makes the headline number less straightforward than a standard venture round. Analysis: when one financing carries two valuation tiers, the top-line valuation can overstate the economics for every participant. It also signals that investors may be accepting different terms to get allocation.
TechCrunch, also citing the Journal, reported that the deal is close to finalizing and said the round would represent a 160% increase in valuation in less than half a year if completed at $13 billion. It also reported that the deal is said to be co-led by Spark Capital, Sands Capital, Altimeter Capital, and Wellington Management.
| Round or report | Amount | Reported valuation | Timing |
|---|---|---|---|
| Series D | $150 million | $2.15 billion | September 2025 |
| Series E | $300 million | $5 billion | January |
| Reported new round | $1.5 billion | $11 billion to $13 billion | Reported Thursday, June 18 |
The acceleration is sharp even by AI startup standards. In May, Baseten was reportedly in talks to raise $1 billion at an $11 billion valuation, while some investors were making offers valuing the company at around $15 billion, according to PYMNTS.
For readers tracking the same theme, XOOMAR has related coverage on Baseten Funding Frenzy Pours $1.5B Into AI Inference and Cheaper Chinese AI Models Steal Enterprise AI Spend.
Why are investors chasing Baseten’s AI inference layer now?
The obvious answer is revenue momentum. PYMNTS reported that Baseten’s annualized revenue was around $600 million at the end of the first quarter, up from $200 million at the beginning of the quarter.
The deeper answer is workload timing. Training gets attention because it is expensive and visible. Inference is the repeated cost that hits every time a model responds inside a product.
That matters for companies putting AI into real workflows. Every chatbot answer, coding suggestion, generated image, and automated task creates demand for model-serving infrastructure. Baseten’s pitch is that customers can use open-source models, customize them, and then rely on Baseten for the inference software layer and compute capacity.
Baseten Co-Founder and CEO Tuhin Srivastava framed the company’s growth around that open-source shift:
“At the highest level, what’s happening generally in the market is that the open-source models are getting very, very good. And as open-source gets better, we are growing with it.”
Analysis: the reported raise is less about another AI app and more about control over the operating layer beneath AI products. If open-source models keep improving, companies have more reason to avoid relying only on closed-source model APIs. Baseten sits in the middle of that decision.
The company’s own January Series E announcement made the same argument in broader terms:
“As AI becomes embedded in every product and workflow, inference isn’t just growing — it’s becoming one of the largest markets ever created,” they wrote. “We’re building the software that powers it.”
What does Baseten have to prove after a $5 billion-to-$13 billion jump?
Baseten’s valuation climb sets a high bar. A company valued at $2.15 billion in September 2025, $5 billion in January, and potentially up to $13 billion by June has to show that demand is not only spiking, but sticking.
The reported revenue run-rate jump from $200 million to $600 million in one quarter is the strongest data point in the source material. But the next questions are tougher: customer growth, usage-based expansion, retention, and whether clients are moving from experiments into large production deployments.
Srivastava also told PYMNTS CEO Karen Webster after the September round that Baseten wants to control more than one slice of the AI infrastructure stack:
“For us, inference is one part of AI infrastructure. Beyond that, there’s training, evaluation, fine-tuning. We really want to own that entire loop. We want to build the next AWS for inference.”
That ambition explains the size of the round. It also raises the risk. Analysis: investors are not pricing Baseten like a narrow developer tool. They are pricing it like a company that could become a major control point for production AI workloads.
Which Baseten funding signals will matter after the round closes?
The first signal is whether the round closes as reported. The second is how the valuation tiers are disclosed, if they are disclosed at all.
A clean announcement at $1.5 billion would reinforce the idea that inference software has become a core AI infrastructure category. A fuzzier structure would still matter, but it would make the true market price harder to read.
The practical test will come after the money lands. Watch whether Baseten keeps reporting revenue expansion, whether more customers shift open-source models into production, and whether the company can keep performance and costs attractive while sourcing compute across many providers.
If the deal closes near the reported terms, Baseten funding will become a reference point for the next wave of AI infrastructure financings. The open question is whether the company’s usage growth can make an $11 billion to $13 billion valuation look disciplined rather than overheated.
The Bottom Line
- Baseten’s reported $1.5 billion raise shows investor demand for AI inference infrastructure remains strong.
- The split $11 billion to $13 billion valuation suggests investors may be accepting different terms to secure allocation.
- A jump from $5 billion to as much as $13 billion in five months highlights how quickly AI infrastructure valuations are rising.
Originally published on XOOMAR. For more news and analysis, visit XOOMAR.
