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NVIDIA AI Infrastructure
@NVIDIAAIInfra
AI factories for the era of AI reasoning.
가입 November 2009
1.7K 팔로잉 중    73.3K
Scaling hybrid workloads with NVIDIA CUDA-Q is enabling teams across the quantum ecosystem to explore real-world impact using GPU-accelerated simulation. 🚀 ⚡ Aegiq and @Quantum_Motion are advancing quantum chemistry workflows with CUDA-Q. ⚡ Classiq is drawing on CUDA-Q to explore new quantum applications in finance. ⚡ FirstQFM has demonstrated quantum foundation models on the Leonardo supercomputer. ⚡ Eclipse Qrisp (pioneered by @Fraunhofer FOKUS) and @Qilimanjaro are powering their work with CUDA-Q. ⚡ qBraid now serves as a CUDA-Q target, expanding access to a broad set of QPU providers. ⚡ QCentroid is building QuantumOps workflows on CUDA-Q, driving more efficient applications development. ⚡ Welinq is pairing its distributed quantum compiler with CUDA-Q for GPU-accelerated circuit verification. The path to useful quantum computing is hybrid—powered by accelerated simulation. Learn more: #ISC26#
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