NVIDIA splits agentic AI workloads across Rubin GPUs, Groq LPX and Vera CPUs
rohanpaul_ai · x · 2026-08-25
Eight months after NVIDIA's non-exclusive licensing deal with Groq, Groq technology is finally appearing inside a rack-scale NVIDIA product, with Groq racks online this year. NVIDIA is splitting agentic AI work across specialized processors: Rubin GPUs handle heavy model computation, Groq 3 LPX targets latency-sensitive token generation, and Vera CPUs run code, tools, data processing and simulation around the model.
Because later agent steps often wait on earlier ones, token-generation latency compounds across long tasks — so NVIDIA's claimed 4x responsiveness gain (Groq 3 LPX vs Cerebras' inference platform) compounds rather than just making single responses feel faster. A key reason inference hardware is fragmenting by workload.
Related event: Dell Partners with Groq and NVIDIA on Enterprise AI Inference(5 posts)→
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