According to The Rundown AI, Nvidia unveiled Ising, an open-source family of quantum AI models that reduces quantum processor setup from days to hours and delivers 3x more accurate error correction than existing approaches. As reported by The Rundown AI, early adopters include Harvard, Fermilab, and over 20 institutions, indicating rapid research traction and enterprise readiness. According to The Rundown AI citing Nvidia Quantum Day remarks by Jensen Huang, Ising positions AI as the control plane for quantum machines, aiming to turn fragile qubits into scalable quantum GPU systems. For businesses, this promises faster calibration, higher fidelity operations, and lower total cost of experimentation in quantum chemistry, optimization, and materials R&D.