Blue Owl Capital -owned data center company Stack Infrastructure Inc. is seeking a loan of around A$3 billion ($2.1 billion), according to people familiar with the matter, as it accelerates development in Australia to meet surging demand for artificial intelligence and cloud services. Proceeds from the five-year loan will fund the US-based company’s new 250 megawatt data center project in Melbourn...
Blue Owl Capital -owned data center company Stack Infrastructure Inc. is seeking a loan of around A$3 billion ($2.1 billion), according to people familiar with the matter, as it accelerates development in Australia to meet surging demand for artificial intelligence and cloud services. Proceeds from the five-year loan will fund the US-based company’s new 250 megawatt data center project in Melbourne, the people said, who asked not to be identified discussing private matters. Mitsubishi UFJ Financial Group , Natixis SA , Oversea-Chinese Banking Corp. , Societe Generale SA and Sumitomo Mitsui Banking Corp. have underwritten the facility, which is being syndicated to the broader banking market, the people added. Investment in AI-related infrastructure such as data centers is projected to surpass $3 trillion over the next five years, according to Moody’s Ratings, with much of the spending to be financed through debt. Australia, on track to add about A$150 billion worth of such facilities, now ranks third behind the US and China as an AI destination, according to research by the Commonwealth Bank of Australia . That said, the sheer scale of spending has sparked concerns on Wall Street about how much of the cash burn — if any — will ultimately generate sustainable returns. A representative for Blue Owl declined to comment, while Stack Infrastructure didn’t respond to a request for comment. Nvidia-Backed AI Startup Gets $10 Billion in Blackstone-Led Loan Australia AI Boom May Revive Productivity, CBA Says, Shares Gain Blue Owl-Owned Stack Seeks $833 Million Loan for Asia Growth Stack Infrastructure’s latest financing follows a $10 billion loan led by Blackstone Inc. this week to support Nvidia‑backed Firmus Technologies Pty.’s rollout of data centers in Australia. Stack Infrastructure has been active in other markets as well. In October, it closed a ¥39.7 billion ($259 million) green facility to expand its 36 megawatt campus in Inzai, Greater Tokyo, according to a company s...
Key Points Palantir is a leading AI company with products catering to both government and commercial needs. Its largest customer is the U.S. military, which is spending billions on its software. The company's latest results demonstrated rapid growth, high profitability, and negligible debt. 10 stocks we like better than Palantir Technologies › Artificial intelligence (AI) is perhaps the biggest st...
Key Points Palantir is a leading AI company with products catering to both government and commercial needs. Its largest customer is the U.S. military, which is spending billions on its software. The company's latest results demonstrated rapid growth, high profitability, and negligible debt. 10 stocks we like better than Palantir Technologies › Artificial intelligence (AI) is perhaps the biggest story to hit the stock market since the internet 20 years ago. AI stocks have had an incredible bull run collectively over the past few years. But now the hype is beginning to cool, and simply being an AI company isn't enough to draw in investor dollars anymore. For proof, look no further than SoundHound AI. Since its stock's most recent peak at about $20 in October 2025, it has lost over half its value and is trading at $8.50 at the time of this writing. Where to invest $1,000 right now? Our analyst team just revealed what they believe are the 10 best stocks to buy right now, when you join Stock Advisor. See the stocks » But not every AI name is struggling. Palantir Technologies(NASDAQ: PLTR) released some fantastic fourth-quarter and full-year 2025 results recently, and over the past 12 months, its shares are up 29%. So we're beginning to see which AI companies are starting to flounder and which have real staying power. Palantir is the second kind, so let's look at its special sauce. The military's crystal ball Palantir gets its name from the seeing stones of J.R.R. Tolkien's legendarium. In his books, they allowed their user to see far-away events or communicate instantaneously across vast distances. That's essentially what the company does for its clients, chief among them the U.S. government. Its Gotham software essentially puts all the information available about a battlefield into a single interface . Its Maven Smart System (MSS) is a platform specifically designed for the U.S. military for intelligence analysis. In August 2025, the Army signed a contract with Palantir...
Chinese AI startup Zhupai aka z.ai is back this week with an eye-popping new frontier large language model: GLM-5 . The latest in z.ai's ongoing and continually impressive GLM series, it retains an open source MIT License — perfect for enterprise deployment – and, in one of several notable achievements, achieves a record-low hallucination rate on the independent Artificial Analysis Intelligence In...
Chinese AI startup Zhupai aka z.ai is back this week with an eye-popping new frontier large language model: GLM-5 . The latest in z.ai's ongoing and continually impressive GLM series, it retains an open source MIT License — perfect for enterprise deployment – and, in one of several notable achievements, achieves a record-low hallucination rate on the independent Artificial Analysis Intelligence Index v4.0 . With a score of -1 on the AA-Omniscience Index—representing a massive 35-point improvement over its predecessor—GLM-5 now leads the entire AI industry, including U.S. competitors like Google, OpenAI and Anthropic, in knowledge reliability by knowing when to abstain rather than fabricate information. Beyond its reasoning prowess, GLM-5 is built for high-utility knowledge work. It features native "Agent Mode" capabilities that allow it to turn raw prompts or source materials directly into professional office documents, including ready-to-use .docx , .pdf , and .xlsx files. Whether generating detailed financial reports, high school sponsorship proposals, or complex spreadsheets, GLM-5 delivers results in real-world formats that integrate directly into enterprise workflows. It is also disruptively priced at roughly $0.80 per million input tokens and $2.56 per million output tokens, approximately 6x cheaper than proprietary competitors like Claude Opus 4.6, making state-of-the-art agentic engineering more cost-effective than ever before. Here's what else enterprise decision makers should know about the model and its training. Technology: scaling for agentic efficiency At the heart of GLM-5 is a massive leap in raw parameters. The model scales from the 355B parameters of GLM-4.5 to a staggering 744B parameters, with 40B active per token in its Mixture-of-Experts (MoE) architecture. This growth is supported by an increase in pre-training data to 28.5T tokens. To address training inefficiencies at this magnitude, Zai developed " slime ," a novel asynchronous reinforcemen...
"The most important thing to me has always been my family, but now I am able to give so much more of myself to it. Before I was living almost on the surface of it," he says.
"The most important thing to me has always been my family, but now I am able to give so much more of myself to it. Before I was living almost on the surface of it," he says.