Anthropic models run on NVIDIA GB300 in Azure

0 min read     Updated on 29 Jun 2026, 11:45 PM
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Radhika SScanX News Team
AI Summary

Anthropic's models are now available on NVIDIA GB300 in Microsoft Azure.

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Anthropic's models are now available on NVIDIA GB300 in Microsoft Azure.

The integration allows users to access Anthropic's AI models using NVIDIA's GB300 infrastructure within the Azure cloud environment.

How will this partnership impact the competitive landscape of cloud-based AI services against major rivals like AWS and Google Cloud?

What cost benefits or performance improvements can enterprises expect when running Anthropic models on NVIDIA GB300 compared to other infrastructures?

Will this integration lead to exclusive features or optimizations that are not available on other platforms hosting Anthropic's models?

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ChatGPT leads usage but Anthropic may lead AI revenue

1 min read     Updated on 29 Jun 2026, 08:13 AM
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Reviewed by
Radhika SScanX News Team
AI Summary

OpenAI's ChatGPT leads with over 900 million users, but Anthropic's Claude may generate higher revenue of $40-50 billion due to enterprise focus. IDC and Counterpoint data highlight Anthropic's superior monetization per user. Both firms are preparing for IPOs.

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OpenAI's ChatGPT maintains a commanding lead in global usage with over 900 million weekly active users, but new estimates suggest Anthropic may be generating more revenue despite serving a fraction of the user base. According to IDC Research Vice President Arnal Dayaratna, ChatGPT remains the dominant consumer-facing large language model chatbot. In contrast, Alphabet Inc.’s Google Gemini has between 200 million and 250 million weekly active users, while Anthropic’s Claude is estimated to have between 40 million and 60 million weekly active users.

Revenue Estimates Diverge from User Base

While OpenAI leads in scale, IDC estimates its annualized revenue is between $30 billion and $40 billion. This includes roughly $10 billion to $13 billion from consumer subscriptions and as much as $20 billion from API and platform-related usage. Conversely, IDC estimates Anthropic’s annualized revenue is between $40 billion and $50 billion, with consumer subscriptions accounting for less than $2 billion. Anthropic’s revenue appears concentrated in enterprise subscriptions, Claude Code seats, API consumption, and other high-volume workloads.

Metric ChatGPT (OpenAI) Claude (Anthropic)
Weekly Active Users > 900 million 40-60 million
Annualized Revenue $30-40 billion $40-50 billion
Consumer Subscriptions $10-13 billion <$2 billion

Enterprise Focus Drives Monetization

Dayaratna noted that usage scale tells a different story from revenue mix, with Claude’s business appearing far more weighted toward enterprise and developer use cases than consumer adoption. In an emailed statement, Anthropic pointed to a May 2026 blog post announcing that its annualized run-rate revenue had surpassed $47 billion. Separate estimates from Counterpoint Research support this trend, indicating Anthropic captured 31.4% of global LLM revenue in Q1 2026, ahead of OpenAI’s 29% share. Counterpoint also estimated Anthropic generated the highest average monthly revenue per user at $33.3, significantly above OpenAI’s $2.2.

Financial Performance and Valuation

Earlier reports indicated OpenAI generated $5.7 billion in revenue during the first quarter of 2026 while spending approximately $3.7 billion. The company’s net loss reportedly expanded to roughly $39 billion in 2025, compared with about $5 billion the previous year. Both OpenAI and Anthropic have confidentially begun laying the groundwork for potential future public offerings. In May, Anthropic surpassed OpenAI to become the world’s most valuable startup after securing a $65 billion Series H funding round that valued the company at $965 billion.

Can OpenAI successfully pivot its massive consumer base to higher-margin enterprise products to close the revenue gap?

How will Anthropic's enterprise-heavy monetization strategy influence its infrastructure costs and profitability compared to OpenAI's consumer model?

Will Anthropic maintain its lead in global LLM market share as OpenAI intensifies its focus on developer and API revenue streams?

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