Breaking: Nvidia’s GPU grip fuels Anthropic IPO and leaves consumer market to fit the bill

Anthropic is preparing for an initial public offering that projects a valuation between 2.5 trillion dollars and 3 trillion dollars. This massive figure stands in stark contrast to the company’s financial reality, which includes a deficit of about 500 billion dollars and annual revenue of less than 20 billion dollars. The core question for investors and users alike is how a company losing that much money can command such a high price. The answer lies significantly in the control of the underlying hardware that powers the service. Nvidia’s grip on the supply chain is driving demand up while lowering available supply. This dynamic gives the cards to Anthropic, Grok, and OpenAI, leaving the consumer market to fit the bill for the infrastructure costs.

The economics of running these models are driven by specific hardware requirements. A single Nvidia RTX Pro 6000 graphics card can hold about 15 to 20 light users running light compute at about 60 to 70 tokens per second. Alternatively, it can support 1 to 2 heavy coding users running Claude Code at about 40 to 50 tokens per second, assuming constant use 24 hours a day. Each heavy user on the max plan pays 200 dollars a month, while each light user pays about 20 dollars a month on average for a base plan. The retail price for an RTX Pro 6000 is 20,000 dollars, a figure that does not include the servers, switches, CPUs, processors, data center facility costs, or electricity required to run the machines.

For those buying the cards directly from Nvidia at a wholesale price of 3,000 to 4,000 dollars, the GPU alone takes about 10 months of revenue from a heavy user to pay back. The same timeframe applies to the 15 to 20 light users paying 20 dollars a month. Most light users will not use the chat for more than a few hours a day, which means the bandwidth number can stretch 10 times. However, the breakeven point and acquisition cost remain huge for individual businesses and consumers. The compute and GPU bottleneck is a real problem for these companies, and Nvidia knows it. The chip maker drives demand up and lowers supply, giving all its supply to the large players like Anthropic, Grok, and OpenAI.

Nvidia’s control extends beyond just selling hardware. The company agreed to acquire Hugging Face, the platform where most open AI models are distributed, for 12.9 billion dollars. Hugging Face makes about 150 to 200 million dollars a year in its peak years, making the 12.9 billion dollar price about 70 times its revenue. While 12.9 billion dollars is pocket change for Nvidia and its CEO Jensen Huang, the strategic value is significant. The stated reason for the deal was CUDA, the software that runs all these models, but the deeper reason was control of the distribution of models on the market, especially the open source market.

The open source market is being flooded by advanced Chinese models, including Kimi from Moonshot AI, DeepSeek, Qwen from Alibaba, and models from Xiaomi. These companies are willing to give the models over to the public to increase innovation. Kimi K3 started to outperform the Opus 5 models from Anthropic, and it was given to the public. The internet used these large language models, quantized them down, and made them usable on smaller machines like Mac Studios, A100 cards, and RTX Nvidia models. This trend threatened the proprietary models that Anthropic sells to its subscribers.

After Nvidia acquired Hugging Face, advanced models were deleted from distribution. Anything over a quant 4, meaning advanced and capable of beating out Claude's models, was removed. The 4 bit, 6 bit, 8 bit, and 16 bit full sized models were banned from the Hugging Face platform. Developers on Discord rallied to stop the censorship and corporate overreach, and they opened Pirate Face, a place where you can upload and download all models. This happened not before the large 400 gigabyte models at quant 3 and higher were scrubbed from the network.

Anthropic has also engaged in efforts to shape the legislative landscape. The company demanded that Congress ban Chinese models because of national security, when the real goal was to control the market. Anthropic recently did a publicity stunt where it released and circulated media that AI will take over the world when one of its disgruntled employees, Jacob Coxon, quit amidst his disappointment in AI. The goal was to get the government to pass bills banning models that were a huge threat to Anthropic's bottom line. The panic worked, and Congress passed a bill that now bans any government and its affiliates from using any Chinese models.

The control over the technology was further demonstrated in June 2026. Anthropic released Fable 5, and the government forced them to take it down. Fable 5 and Mythos 5 were released on June 9, 2026, and Anthropic suspended access to them worldwide on June 12, 2026, after the U.S. Department of Commerce issued an export control directive. The models were solving too many problems, and Anthropic pulled them off the shelf. This was not about winning the AI race; it was about controlling the AI race.

In recent months, Anthropic has been suspending users with reasons like abuse, potential fraud, and usage violations. The appeal process is often described as useless because it is fully run by bots, and as soon as they kick you off they will not reactivate the account. Once Anthropic goes public, the suspensions will likely multiply 100 times or 1000 times because it will have deep pockets and access to unlimited funds. The end user will not be important to them. Anthropic does not make money off of daily users, and it certainly does not make money off of heavy users.