anthropic compute costs

Zhidx (WeChat public account: zhidxcom) Author | Jiang Yu Editor | Xinyuan Zhidx reported on November 11 that last night, Anthropic officially launched the roadshow for its initial public offering (IPO), announcing an offering price range of $70 to $78 per share (approximately RMB 466.9 to 520.2), and plans to offer 825 million shares. Calculated at the upper end of the offering price, the IPO would raise a maximum of $64.35 billion (approximately RMB 429.

Table of Contents AI company Anthropic plans IPO on Nasdaq Billion-dollar deal with tech partners Astronomical computing costs Focus on business customers Security incidents fuel skepticism The US AI company Anthropic, maker of the Claude chatbot, is heading toward one of the largest IPOs in history. According to the updated sales prospectus filed with the US securities regulator SEC, the company is seeking a total valuation of up to one trillion US dollar

Continue after the advertisementThe model scored 49.1% on the FrontierCode 2.0 benchmark, which evaluates coding with AI agents, compared with 45.5% for Opus 5.5 and 42.8% for GPT-6 Astra. In software engineering, it achieved 69.9% on FrontierSWE v2, above Fable 5.1 (56.3%) and Opus 5.5 (62.3%). In the OSWorld 2.1 test, which evaluates computer control, it reached 89.3%.The results also include advances in scientific research and reasoning. On Terminal-Ben

Anthropic's Q3 revenue hits $16.8B but growth slows ahead of planned November IPO Matthias Bastian View the LinkedIn Profile of Matthias Bastian Oct 15, 2026 Nano Banana Pro prompted by THE DECODER Ask about this article… Search Slowing growth and a tough market are hurting Anthropic's valuation ahead of its planned November IPO. Anthropic shared its quarterly numbers with potential investors at a private meeting in San Francisco, according to multiple US

Anthropic grows revenue twelvefold but posts $23 billion loss Maximilian Schreiner View the LinkedIn Profile of Maximilian Schreiner Nov 2, 2026 Anthropic swings back to an operating loss ahead of its blockbuster IPO. According to Bloomberg, the company posted quarterly revenue of nearly $17 billion, twelve times what it brought in a year earlier. But operating costs of $17.5 billion outpaced that revenue, wiping out the profit Anthropic had reported the p

It is writing checks via various strategies, ranging from offering massive loans to data centers to investing in frontier AI models and applications. Earlier this year, the firm launched Blackstone N1 (BXN1), a San Francisco-based central hub for its AI initiatives. The group is led by Khaira, who relocated from New York to be at the epicenter of AI. Unlike earlier tech cycles such as mobile or SaaS, which allowed companies to reach significant scale with

Anthropic opens its books for Wall Street, showing record revenue and mounting obligations Matthias Bastian View the LinkedIn Profile of Matthias Bastian Oct 26, 2026 Nano Banana Pro prompted by THE DECODER Key Points Anthropic filed its S-1 for a Nasdaq listing under the ticker "ANT." In Q2 2026, Anthropic pulled in $11.6 billion in revenue and posted its first GAAP operating profit at $974 million. The flip side: long-term compute commitments totaling $7

Over the past two weeks, Alphabet, Amazon, Meta, and Microsoft have outlined plans to spend more than $740 billion on capital expenditures this year, which Wall Street is reading as AI infrastructure spending, including data centers and chips. Earlier in the AI boom, investors largely rewarded such big outlays, viewing them as a sign of confidence in the technology’s growth potential. But as we enter the fourth quarter, that enthusiasm seems to be giving w

Looking at the compute margins makes the picture even worse. In the new quarter, compute took up 58% of the company’s revenue, up from 48% the quarter before. At a moment when the company could win over IPO investors by showing margins improving, they’re getting worse. A chart in the filing shows this even more clearly, tracking the company’s revenue for every dollar spent on compute. Since the start of 2025, it’s been steadily growing, peaking at just ove

Anthropic wants you to know Claude leads a quarter of its research, but "lead" doesn't mean what you think Maximilian Schreiner View the LinkedIn Profile of Maximilian Schreiner Sep 18, 2026 Nano Banana Pro prompted by THE DECODER AI News Without the Hype – Curated by Humans Subscribe to THE DECODER for ad-free reading, a weekly AI newsletter, our exclusive "AI Radar" frontier report six times a year, full archive access, and access to our comment section.

AIUpdated Today, Nov 9, 2026, 9:13 PM UTCAll the latest updates on AI data centersLinkRSSGiftMassive new data centers are the physical foundation for tech companies’ hopes and dreams for AI. But the rush to expand warehouses full of energy-hungry servers has also kicked up fights across the world over their impact on power grids, utility bills, nearby communities, and the environment.Data centers were a major bipartisan issue ahead of the 2026 midterms, an

Reported by Xinzhiyuan Here it comes! Early this morning, a chart updated last night by the “AI 2027 Tracker” went viral across the internet. With this one adjustment,the timetable for ASI’s arrival will be pulled forward by another six weeks! The reason turned out to be that METR’s Friday research report revealed for the first time that Anthropic’s mysterious Model 4 had earned the highest score ever on AECI. This internal behemoth, which had just finishe

Zhidx (WeChat official account: zhidxcom) Compiled by | Sun Xiaowen Edited by | Cheng Qian Zhidx reported on November 5 that last night, U.S. data center developer and operator TeraWulf announced that it had signed a credit support agreement with Google, under which Google will provide credit support for debt financing for TeraWulf’s Justified data center project. TeraWulf disclosed that it had signed an engineering, procurement and construction agreement

PPIO Sandbox: Turning the “Cloud Computer” into a Ready-to-Use API Recently, “Personal Agent” has been one of the hottest topics in the agent field. Most of the discussion has focused on the product side, but the key to supporting Personal Agents lies in the “execution layer.” Each of these Agents capable of “taking action” has an independent execution environment belonging to the user behind it: Meta provides every user with a Muse Secure VM, Manus assign