Breaking: Nvidia’s Supply Grip Fuels Anthropic’s 3 Trillion Dollar IPO Ambitions

Anthropic, the developer of the Claude models, is preparing for an initial public offering that projects a valuation between 2.5 trillion dollars and 3 trillion dollars. This financial milestone arrives as the company carries compute commitments to partners including Amazon and Google totaling up to 900 billion dollars. Despite this massive infrastructure backing, Anthropic operates on a deficit of approximately 500 billion dollars while generating less than 20 billion dollars in annual revenue. The disparity between the projected valuation and current earnings creates a significant question for investors regarding the sustainability of such a high price point relative to actual cash flow.

The foundation of this valuation rests heavily on the hardware that powers the company’s models, specifically the graphics processing units supplied by Nvidia. A single Nvidia RTX Pro 6000 card can support between 15 and 20 light users running at 60 to 70 tokens per second, or one to two heavy coding users running Claude Code at 40 to 50 tokens per second. These estimates assume constant usage for 24 hours a day, a condition that rarely occurs in the real world. Most light users access the chat interface for only a few hours daily, meaning the effective bandwidth capacity could stretch ten times higher, yet the acquisition costs remain substantial for both the provider and the end user.

The economics of these cards are dictated by Nvidia’s pricing structure, where an RTX Pro 6000 retails for 20,000 dollars. This price tag excludes the cost of servers, switches, CPUs, data center facilities, and electricity. When purchased directly from Nvidia at a wholesale price ranging from 3,000 to 4,000 dollars, the GPU alone requires about 10 months of revenue from a heavy user paying 200 dollars a month to break even. The same timeline applies to the group of 15 to 20 light users paying an average of 20 dollars a month. This financial reality underscores why the consumer market is often left to fit the bill while large players secure the hardware.

Nvidia has recognized the compute bottleneck as a critical leverage point in the AI industry. The company drives demand up and lowers supply, effectively giving all its available supply to large players such as Anthropic, Grok, and OpenAI. This strategy consolidates the most powerful hardware in the hands of a few major entities while limiting access for smaller developers and consumers. By controlling the distribution of these high-performance cards, Nvidia maintains a dominant position in the market, ensuring that the largest companies have the resources to scale their models rapidly.

This control was further solidified when Nvidia agreed to acquire Hugging Face, the primary platform for distributing open AI models, for 12.9 billion dollars. Hugging Face generates between 150 million and 200 million dollars annually in peak years, making the acquisition price approximately 70 times its revenue. While the stated reason for the deal was to secure CUDA, the software that runs these models, the deeper objective was to control the distribution of models in the open source market. For Nvidia and its CEO Jensen Huang, the 12.9 billion dollar price is a manageable expense compared to the strategic advantage gained.

The open source market had been increasingly flooded with advanced models from Chinese companies, including Kimi from Moonshot AI, DeepSeek, Qwen from Alibaba, and models from Xiaomi. These companies were willing to release their models to the public to drive innovation, with Kimi K3 beginning to outperform Anthropic’s Opus 5 models. The internet community quickly adopted these large language models, quantizing them down to make them usable on smaller machines like Mac Studios, A100 cards, and RTX Nvidia models. This trend threatened to reduce the cost barrier for accessing high-performance AI, potentially impacting the revenue models of proprietary providers.

Following the acquisition, Nvidia exercised its control over the Hugging Face platform by deleting advanced models from distribution. Any model over a quant 4, which indicates advanced capability capable of competing with Claude, was removed. The 4 bit, 6 bit, 8 bit, and 16 bit full-sized models were banned from the platform. Developers on Discord rallied against this move, viewing it as corporate overreach, and opened a new platform called Pirate Face for uploading and downloading models. However, this effort came after large 400 gigabyte models at quant 3 and higher had already been scrubbed from the network.

In response to the perceived threat of these open source models, Anthropic demanded that Congress ban Chinese models on national security grounds. The company also executed a publicity stunt involving the release of media suggesting AI would take over the world, timed with the departure of disgruntled employee Jacob Coxon. These actions were designed to create urgency for government intervention. The strategy proved effective, as Congress passed a bill banning any government and its affiliates from using Chinese models. Anthropic is now working to pass additional bills that would prevent networks like Verizon from launching their own in-house AI models using advanced open source technology.

The regulatory environment has also directly impacted Anthropic’s product releases. The company released Fable 5 and Mythos 5 on June 9, 2026, but suspended access to them worldwide on June 12, 2026. This suspension followed an export control directive issued by the U.S. Department of Commerce. The models were solving complex problems efficiently, leading Anthropic to pull them off the shelf. This move was less about winning the AI race and more about controlling the pace and direction of that race to maintain market stability.

As Anthropic approaches its IPO, the company has faced criticism for suspending users with reasons such as abuse, potential fraud, and usage violations. The appeal process is conducted entirely by bots, and accounts are rarely reactivated once suspended. Analysts suggest that these suspensions will multiply significantly after the company goes public, as it gains deep pockets and unlimited funds. Once listed, the end user may become less important to the company’s strategic goals, shifting the focus entirely toward maximizing returns for shareholders.