Nvidia AI chip rivals attract record funding as competition heats up

Nvidia  has cemented itself at the heart of the AI boom with a monopoly on the most powerful chips to train and run models, but a growing crop of startups are set on challenging the company’s supremacy.

And increasingly, investors are throwing huge sums behind them. In 2026, AI chip startups raised $8.3 billion in funding, globally, according to Dealroom. Barring a near total collapse of the market, the sector is expected to see record sums pumped into it this year. 

So what’s causing the spike?

While Nvidia’s graphics processing units (GPUs) — which were originally designed for gaming — have been effectively repurposed for AI training, focus is now shifting to the most efficient ways to actually deploy the tech in applications, known as AI inference.

The argument of these chip upstarts is this: GPUs weren’t purpose-designed for AI, and therefore, novel system architecture will bring big savings in energy and cost.

“Inference is dominant now, and the existing GPU architecture wasn’t built for it in ways that matter most at scale,” Patrick Schneider-Sikorsky, director at the Nato Innovation Fund (NIF), which has invested in U.K. AI chip startup Fractile, told me.

Nvidia, which has huge advantages as the world’s most valuable company with an almost limitless supply of cash, is still racing to develop new chips to power AI.

In December, the company acquired assets from AI inference startup Groq for $20 billion and announced it had invested $4 billion into two companies developing photonics technology in March.

The chip giant also spent more than $18 billion on research and development in its most recent full financial year, ending January 2026.