Nvidia-Backed AI Startup Targets US$10 Billion Before ASX IPO

A Nvidia-backed artificial-intelligence startup is targeting a US$10 billion valuation in a pre-IPO funding round before listing on the Australian Securities Exchange, according to a Yahoo Finance Singapore report.

The US$10 billion figure would mark one of the largest private AI valuations pursued ahead of an Australian float, and place the unnamed company in the same bracket as the most heavily funded late-stage AI businesses globally. A successful listing at that scale would rank among the largest tech debuts the ASX has hosted in the past decade.

How big is US$10 billion in this market?

A US$10 billion pre-IPO price tag pushes the company into a tier currently dominated by US- and Chinese-headquartered AI labs and infrastructure providers. The headline number implies investors are underwriting forward revenue, not trailing earnings. Most AI businesses at this stage run at heavy cash burn as they spend on compute, talent and data acquisition, and the gap between private-market and public-market valuations has widened through 2025.

The round's structure and lead investors will matter as much as the headline itself. Nvidia's participation typically moves a private valuation because the chipmaker's GPU footprint gives it unique insight into which AI workloads are translating into real demand.

The startup hasn't been named in the Yahoo Finance Singapore report, but its pre-IPO investor lineup is expected to surface in coming months.

The takeaway: a US$10 billion pre-IPO round isn't a funding event, it's a credibility event.

Why does Nvidia's backing matter?

Nvidia has emerged as the most influential strategic investor in artificial intelligence, deploying capital across model labs, inference providers, robotics and applied-AI startups. The chipmaker's venture and strategic investment arm typically co-leads rounds alongside financial investors, using the Nvidia name to pull other limited partners into deals. A US$10 billion co-stamp would carry weight in any subsequent funding round the startup runs, public or private.

It also locks in a customer relationship. Nvidia's portfolio companies often receive preferential access to next-generation GPUs, which has become a defining competitive advantage in the current AI build-out. For a startup targeting a public listing within 12 months, that supply security reduces one of the largest operational risks on the balance sheet.

The takeaway: Nvidia doesn't just write cheques. It sells compute, and the startups on its cap table tend to get both.

Why an Australian listing?

The venue choice is unusual. US AI companies have overwhelmingly defaulted to Nasdaq or the NYSE, where deep sector liquidity, sell-side coverage and a familiar investor base support premium multiples. An ASX listing signals something different: a domestic founder base, Australian regulatory comfort, or a deliberate play for Asia-Pacific capital that avoids US-China decoupling pressure.

It also adds a notable data point for the local exchange. The ASX has spent several years courting high-growth tech listings, with mixed results. A US$10 billion tech float would sharpen the exchange's pitch to the next cohort of AI founders weighing their listing options, and would test whether Australian institutional capital can absorb a tech debut at US-scale valuations.

The takeaway: Sydney isn't a default venue for AI. Picking it tells you something about the company's origins, its investors, or both.

What to watch

Three signals will show whether the US$10 billion target holds:

• The pre-IPO round's close and which investors joined Nvidia
• Revenue and customer metrics the company files in any draft prospectus
• Public-market multiples on listed AI peers, which are being repriced almost weekly

For Nvidia, the deal extends a venture strategy that has made the chipmaker the most influential AI investor of the cycle. For the ASX, the float would test whether local capital can absorb a tech listing at US-tech valuations. For the broader Asia-Pacific AI cohort, it would set a benchmark for what private-market conviction can deliver at the public-market gate.

The next 12 months will tell whether private-market conviction survives public-market scrutiny. That answer will shape the next wave of Asia-Pacific AI listings.