Elon Musk said he is developing an artificial-intelligence processor that outperforms Nvidia GPUs while costing significantly less to produce.

This move represents a direct challenge to Nvidia's current dominance in the AI hardware market. If successful, the technology could drastically reduce the overhead costs for AI compute across Musk's various business ventures.

Musk shared these details during a conversation with Ron Baron, the founder of Baron Capital, earlier this week [1]. The details were reported on June 16 [1]. Musk said the new chip is expected to be two to three times better than those produced by Nvidia [1].

Beyond performance, Musk highlighted the potential for massive cost reductions. He said the chip will cost about 10% of what Nvidia charges [1]. This price point would allow his companies, including Tesla, X, and SpaceX, to scale their AI capabilities more aggressively.

"We're building a chip that's two to three times better than Nvidia's and it will cost about ten percent of what Nvidia charges," Musk said [1].

He further explained that reducing the cost of high-performance hardware would shift the financial landscape for his enterprises. "If we can get that performance at a fraction of the cost, it changes the economics of AI for every one of our businesses," Musk said [2].

Market analysts and investors have reacted with a mixture of curiosity and skepticism. Some observers suggest the goal is technically plausible given the resources available to Musk [3]. However, others have cautioned that the claim may be a bluff since there is currently no independent verification of the hardware [1].

Ron Baron said that while the claim is ambitious, the lack of third-party evidence remains a primary concern [1].

“"We're building a chip that's two to three times better than Nvidia's"”

The AI industry currently relies heavily on Nvidia's high-margin hardware, creating a significant bottleneck for companies scaling large language models. If Musk can deliver a chip with the claimed performance-to-cost ratio, it would break the current pricing monopoly and accelerate the deployment of AI in robotics and social media. However, the gap between a conceptual claim and a mass-produced, stable silicon chip is vast, making independent benchmarks the only true measure of success.