MatX AI chip startup funding has surged to $500 million after the company closed a Series B round led by Jane Street and Situational Awareness, an investment fund created by former OpenAI researcher Leopold Aschenbrenner.

The round positions MatX as one of the most serious contenders in the race to build a Nvidia GPU alternative LLM training solution — a market that has become increasingly competitive as demand for large language model infrastructure accelerates.

Other investors include Marvell Technology, NFDG, Spark Capital and Stripe co-founders Patrick Collison and John Collison. Founder and CEO Reiner Pope announced the raise on LinkedIn, though the company did not disclose its current valuation.

Aiming to Outperform Nvidia in LLM Training

MatX says its goal is ambitious: develop processors that are 10 times better at training large language models and delivering inference performance compared to Nvidia’s GPUs.

The push for a Nvidia GPU alternative LLM training platform reflects broader industry momentum. According to multiple industry analyses, Nvidia continues to dominate AI compute, but startups are racing to reduce dependency on its high-cost hardware ecosystem.

MatX’s closest competitor, Etched, reportedly raised $500 million at a $5 billion valuation last month, according to Bloomberg. That signals strong investor appetite for next-generation AI chipmakers challenging Nvidia’s dominance.

Founders with Deep Google TPU Roots

MatX was founded in 2023 by Reiner Pope and Mike Gunter, both former Google hardware engineers.

Pope previously led AI software development for Google’s Tensor Processing Units (TPUs), while Gunter was a lead designer of TPU hardware. Their combined experience gives MatX a technical foundation rooted in large-scale AI infrastructure development.

The company previously raised around $100 million in a Series A led by Spark Capital in 2024. TechCrunch reported at the time that the round valued the startup at more than $300 million.

The new MatX AI chip startup funding significantly expands its runway as it prepares for large-scale manufacturing.

TSMC AI Chip Production 2027 Roadmap

The fresh capital will support chip fabrication with Taiwan Semiconductor Manufacturing Company. The company confirmed plans tied to TSMC AI chip production 2027, with shipping targeted to begin that year.

Securing production capacity with TSMC is a crucial milestone for any serious Nvidia GPU alternative LLM training competitor. TSMC is widely regarded as one of the most advanced semiconductor manufacturers globally, producing cutting-edge AI silicon for multiple industry leaders.

If execution aligns with its roadmap, MatX AI chip startup funding could translate into tangible hardware entering the AI compute ecosystem within the next two years.

The Broader AI Chip Race

The competition to displace Nvidia in AI training workloads is intensifying. Established firms like AMD have already struck equity-linked chip supply deals with AI labs, while newer startups are betting on architecture-level innovation.

As enterprises and AI labs seek diversified supply chains, the emergence of players targeting Nvidia GPU alternative LLM training solutions could reshape the economics of model development.

For now, MatX AI chip startup funding signals strong investor confidence. The next test will come as TSMC AI chip production 2027 approaches and real-world performance benchmarks begin to surface.