Groq Chips Cost 5x Less Than NVIDIA for AI Inference — And They're Faster

What if you could run the same AI workload for one-fifth the price — and get results faster?

That's exactly what Groq is delivering. According to a Nebius infrastructure expert speaking to AlphaSense, Groq's inference chips now cost roughly $0.05–$0.10 per million tokens, compared to about $0.25 for NVIDIA's B-series. That's a 5x cost advantage.

Speed tells a similar story: Groq processes around 800 tokens per second versus NVIDIA's 450.

This matters because the AI industry has fundamentally shifted. Nebius estimates that 90–95% of enterprise AI workloads are now inference — running existing models, not training new ones. The pricing battlefield has moved from GPU hourly rates to per-token economics, and that's precisely where Groq excels.

For context, NVIDIA's current hourly rates run $1.50 for an H100, $2.20 for an H200, and $3.50+ for a B200. Groq is attacking the cost structure at its foundation.

Perhaps the most telling signal: NVIDIA and Groq recently signed a non-exclusive licensing agreement — a quiet acknowledgment from the industry giant that specialized inference chips represent genuine competitive pressure.

The implications ripple far beyond chip companies. Cheaper inference means AI becomes accessible to smaller businesses, emerging markets, and use cases that couldn't justify the cost before. The AI chip war is no longer about raw power — it's about efficiency. And Groq just fired the opening shot.