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@alexbsr2@universeodon.com · Mar 01, 2026
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
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@everton137@social.vivaldi.net · Feb 12, 2026
"The first principle is that you must not fool yourself — and you are the easiest person to fool. So you have to be very careful about that. After you've not fooled yourself, it's easy not to fool other scientists. You just have to be honest in a conventional way after that." Richard Feynman, one of my heroes when I used to study physics. And this idea is valid not only for physics. P. S. There are several videos of Feynman on YouTube. When I was a student, such a thing didn't exist: https://youtu.be/ZbFM3rn4ldo?si=-W0A8UhhFqMEIfSa And Caltech made his Lectures on Physics available online: https://www.feynmanlectures.caltech.edu/ Bonus: the first chapters of each volume don't need advanced math to understand. #Feynman #Science #Physics
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