MatX, an AI chip startup founded by two former Google hardware engineers, announced it has raised $500 million in a Series B funding round. The investment was led by Jane Street and Situational Awareness, a fund founded by ex-OpenAI researcher Leopold Aschenbrenner, signaling strong backing for the company’s ambitious hardware goals.
The startup’s mission is to produce AI processors that are up to 10 times more efficient at training large language models (LLMs) and delivering inference results than Nvidia’s current GPUs. Other notable investors include Marvell Technology, NFDG, Spark Capital, and Stripe co-founders Patrick and John Collison.
This funding round places MatX among top contenders in the AI hardware market, which is critical for accelerating AI research, deployments, and large-scale model performance. By targeting Nvidia’s dominance, MatX aims to diversify hardware options for AI enterprises and research labs.
However, MatX has not disclosed its current valuation, and faces significant competition, including startup Etched, which recently raised a similar funding round at a reported $5 billion valuation. The AI chip market remains highly competitive with risks related to production, performance claims, and market adoption.
Industry watchers will be closely monitoring MatX’s ability to deliver on its promise of vastly improved AI training efficiency, as well as how Nvidia responds to this direct challenge. MatX’s next milestones around product announcements and performance benchmarks will be key to its future market impact.