# AI compute squeeze sets stage for SCX.ai’s ASX debut > Source: > Published: 2026-08-16 23:38:59+00:00 # AI compute squeeze sets stage for SCX.ai’s ASX debut **SCX.ai is ready for its ASX debut on Friday following a fully underwritten $40 million IPO****Global constraints on power, water, land and grid capacity are putting a premium on more efficient AI infrastructure****Purpose-built inference platform is designed to increase the AI compute available from existing Australian data centres** *Special Report:*** SCX.ai will make its ASX debut on Friday following a fully underwritten $40 million IPO, becoming Australia’s first ASX-listed pure-play sovereign AI inference infrastructure company.** The company will begin trading under the code SCX as soaring demand for AI compute puts increasing pressure on the power, water, land and grid capacity required to support it. Australia is proposing new standards requiring data centres to support additional electricity generation and minimise water use. In the US more than 500 local bans or restrictions were reportedly in place by early August, according to Morgans, up from about 300 in late June. The global infrastructure squeeze is increasing the value of technologies capable of delivering more AI compute from available infrastructure. That is the market SCX.ai is targeting. The IPO has attracted backing from some of Australia’s best-known fund managers, with Wilson Asset Management, Frazis Capital Partners and existing investor Ellerston Capital participating. The institutional support comes as investors increasingly look for exposure to the infrastructure underpinning the rapid growth of AI. **More AI from existing data centres** SCX.ai’s strategy is to increase Australia’s AI capacity by installing purpose-built inference processors inside existing commercial data centres. The company is using technology developed by US semiconductor company SambaNova Systems that can produce AI responses up to five times faster than conventional GPU-based infrastructure while using about 75% less electricity and 99% less cooling water. The technology targets inference, the “doing” part of AI. It is the computing required every time a trained model answers a question, analyses a document, operates an AI agent or performs another task. SCX.ai uses SambaNova’s Reconfigurable Dataflow Units, or RDUs, which are purpose-built for AI workloads and can be installed in existing air-cooled data centres. GPUs were originally developed for computer graphics and are now widely used across AI training and inference. RDUs use a different architecture developed specifically for AI, with SCX.ai deploying the technology for inference. As AI becomes embedded across businesses and government, SCX.ai expects inference to account for an increasingly large share of AI computing demand. For founder and chief executive David Keane, the speed at which AI chips are evolving creates an opportunity to expand Australia’s AI capacity more efficiently. “AI demand is growing at extraordinary speed and the infrastructure has to keep up,” Keane said. “Purpose-built inference technology allows us to generate substantially more AI compute from the power and physical footprint already available in Australia’s commercial data centres. “As power, water and grid capacity become more valuable, that efficiency becomes increasingly important.” **AI economics move into focus** The economics of running AI at scale are also moving rapidly up the corporate agenda. Canva recently lowered its revenue growth expectations after the cost of running new AI products on frontier models proved substantially higher than anticipated. The Australian technology giant slowed the rollout of Canva AI 2.0 while it worked to reduce unit costs and bring more of its AI capability in-house. This experience provides a high-profile Australian example of an issue SCX.ai expects businesses to focus on increasingly as AI usage scales: the cost of inference. For enterprises handling sensitive financial, government, health or customer information, the location of that computing and the treatment of their data are also becoming increasingly important considerations. SCX.ai’s platform is designed to run AI models within Australia, allowing enterprise and government customers to keep their data onshore. “AI is moving into large-scale deployment across businesses, and that makes the economics of every workload incredibly important,” Keane said. “Companies are looking closely at which model is best suited to each task, where it runs, what it costs and how efficiently the infrastructure can deliver it. “We built SCX.ai around the expectation that these questions will become increasingly important as AI becomes infrastructure that businesses rely on every day.” **Capital follows AI compute** The infrastructure underpinning AI is also attracting some of the world’s largest pools of institutional capital. Apollo, BlackRock, Blackstone, Brookfield, Goldman Sachs and KKR are among the major financial institutions participating in AI infrastructure financing initiatives, as compute increasingly develops into an infrastructure asset class. Morgans recently highlighted financing for US AI infrastructure provider CoreWeave in which debt maturities extend beyond underlying customer contracts, an indication that lenders are increasingly prepared to take a longer-term view on the value of AI compute infrastructure. The investment is flowing as demand for inference infrastructure grows to power the rapid adoption of AI applications, agents and enterprise automation. “We’re reaching the point where businesses know they need AI. The questions now are how much it costs to run, where the data sits, how efficiently the compute is delivered and how much control they have over it,” Keane said. “Those questions are going to become more important as AI usage grows, and they’re exactly the questions SCX.ai was built to address.” *This article was developed in collaboration with SCX.ai, a Stockhead advertiser at the time of publishing.* * * *This article does not constitute financial product advice. You should consider obtaining independent advice before making any financial decisions.* * * ## Related Topics ### UNLOCK INSIGHTS Discover the untold stories of emerging ASX stocks. Daily news and expert analysis, it's free to subscribe. By proceeding, you confirm you understand that we handle personal information in accordance with our [Privacy Policy](https://stockhead.com.au/privacy-policy/).