Groq LPUs Become Nvidia Feature
Wafer
The key shift is that Groq’s main advantage is no longer confined to Groq’s own cloud or racks, it is being pulled into Nvidia’s distribution machine. Groq’s December 24, 2025 non exclusive licensing deal with Nvidia moved low latency decode from a startup differentiator toward a feature Nvidia can package inside Vera Rubin systems, alongside Nvidia networking, software, and rack scale infrastructure.
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Groq’s advantage is very specific. LPU hardware is built for fast token by token generation, which matters in chat, coding copilots, and agents where every extra second is visible. Nvidia now presents NVIDIA Groq 3 LPX as the inference accelerator for Vera Rubin, which turns that specialty into a bundled line item in a larger Nvidia system sale.
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That bundling changes the buying motion. Instead of adopting a separate Groq stack, a customer can buy low latency inference inside the same Nvidia platform they already use for GPUs, networking, and data center design. This is why the deal creates channel conflict for Groq, even as it validates the product technically and commercially.
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It also sharpens the contrast with Cerebras and SambaNova. Cerebras is pairing its wafer scale decode engine with AMD Helios for a split workflow, where AMD handles high throughput prompt processing and Cerebras handles ultra fast token generation. The market is moving toward mixed systems where specialized decode hardware plugs into bigger incumbent stacks.
Going forward, the winners in inference will be the companies whose hardware becomes part of the default rack architecture, not just the ones with the fastest benchmark. Nvidia is trying to absorb low latency inference into its standard platform, while Cerebras and others are racing to become the specialized engine that major clouds and rack vendors slot in beside general purpose GPUs.