Breaking: Nvidia Controls AI Chip Supply, Shaping Anthropic IPO Valuation

Anthropic, the company behind the Claude artificial intelligence models, is preparing for an initial public offering that values the company between 2.5 trillion dollars and 3 trillion dollars. This valuation stands in stark contrast to the company’s current financial reality, as Anthropic generates less than 20 billion dollars in annual revenue while running a deficit of approximately 500 billion dollars. The core question facing investors and consumers alike is how a company losing that much money can command such a high price tag. The answer lies heavily in the infrastructure that powers these systems and who controls that infrastructure.

The dominant force in this equation is Nvidia, which holds a tight grip on the supply of graphics processing units required to run these large language models. Nvidia effectively drives demand up while lowering the available supply for the general market. By doing so, the company gives the cards to the largest players in the industry, specifically Anthropic, Grok, and OpenAI. These major AI labs secure priority access to the necessary hardware, ensuring they can scale their operations without interruption. The consumer market, by contrast, is left to fit the bill for the remaining inventory, often at a premium.

This dynamic creates a significant bottleneck for anyone looking to run AI models locally or for small business needs. A single Nvidia RTX Pro 6000 graphics card retails at 20,000 dollars as of now. This price does not even include the servers, switches, central processing units, and data center facility costs required to run the machines. When buying directly from Nvidia at a wholesale price of 3,000 to 4,000 dollars, the cost of the GPU alone takes about ten months of payments from a heavy user to recoup. This calculation assumes a heavy user on the maximum plan pays 200 dollars a month for constant use.

For light users, the math is similarly challenging. A single card can hold about 15 to 20 light users running light compute tasks at about 60 to 70 tokens per second. Each light user pays about 20 dollars a month on average for a base plan. While most light users will not use the chat for more than a few hours a day, which could stretch the bandwidth number ten times, the acquisition cost remains substantial. The compute and GPU bottleneck is a real problem for these companies, and Nvidia knows it. The strategy of prioritizing large players over the consumer market ensures that the infrastructure costs remain high for everyone else.

Nvidia’s influence extends beyond just selling hardware. The company recently 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, meaning the acquisition price is about 70 times its revenue. While this sum is pocket change for Nvidia and its CEO Jensen Huang, the move signals a shift in control. 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.

This control becomes critical when examining the threat from Chinese open source models. The open source market has been flooded with advanced models from companies like Moonshot AI, Alibaba, and Xiaomi. These companies are willing to give the models over to the public to increase innovation. Kimi K3, for example, started to outperform the Opus 5 models from Anthropic and was given to the public. The internet community used these large language models, quantized them down, and made them usable on smaller machines like Mac Studios and RTX Nvidia models.

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. They opened Pirate Face, a place where you can upload and download all models, but not before the large 400 gigabyte models at quant 3 and higher were scrubbed from the network.

Anthropic has also sought legislative support to protect its market position. The company demanded that Congress ban Chinese models because of national security, though the real goal was to control the market. Anthropic recently executed a publicity stunt by releasing 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 strategy worked. Congress passed a bill that now bans any government and its affiliates from using any Chinese models. Anthropic is also trying to pass bills that would stop other companies like Verizon and other networks from launching their own AI models in house by using these advanced open source models. This legislative effort complements the hardware control exerted by Nvidia, creating a multi layered barrier for competitors and independent developers.

The control over distribution was tested in June 2026 when Anthropic released Fable 5. The government forced them to take it down shortly after. 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.