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Inference is becoming the primary cost center of AI, and NVIDIA’s Feynman roadmap suggests a shift from training-centric GPUs toward latency-optimized, inference-scale systems. As real-time agents, copilots, and edge deployments grow, inference sovereignty—where compute is located, how fast it responds, and who controls the hardware—will define the next phase of AI infrastructure. With NVIDIA GTC 2026 approaching, the key question is whether NVIDIA will formally introduce a new class of inference-focused silicon and fabric to complement its training platforms. https://www.buysellram.com/blog/nvidia-next-gen-feynman-beyond-training-toward-inference-sovereignty/ #InferenceSovereignty #LLMInference #AgenticAI #NVIDIA #Feynman #HBM4 #SRAM #AdvancedPackaging #SiliconPhotonics #AIInfrastructure #GPU #GTC2026 #Rubin #Blackwell #DeterministicCompute #LPX #GroqLPU #technology