And I think the big price that we are both after is in the future when GPUs can be applied not just to specialized inference on top of foundation models but also to things like data computation which is what we specialize in. So I think we're very much in the early innings of how are GPUs how is accelerated computing going to impact a lot of things that Snowflake does. [music]. ...

Core Viewpoint - NVIDIA has introduced NVQLink™, an open system architecture designed to integrate GPU computing with quantum processors, aiming to create accelerated quantum supercomputers [1][14]. Group 1: NVQLink Overview - NVQLink is developed with guidance from leading supercomputing centers and national laboratories, supporting 17 quantum processing unit (QPU) builders, five controller builders, and nine U.S. national labs [2]. - The architecture facilitates a low-latency, high-throughput connection necessary for running complex algorithms that manage qubit errors, essential for effective quantum applications [4][15]. Group 2: Industry Impact - Jensen Huang, CEO of NVIDIA, stated that every NVIDIA GPU scientific supercomputer will soon be hybrid, tightly coupled with quantum processors, marking the beginning of the quantum-GPU computing era [5]. - U.S. Secretary of Energy Chris Wright emphasized that maintaining leadership in high-performance computing requires bridging to accelerated quantum supercomputing, with NVQLink being a critical technology for this transition [6]. Group 3: Collaboration and Development - NVQLink is supported by contributions from various quantum hardware builders and control system providers, establishing a foundation for advancements in control, calibration, and quantum error correction [7][9]. - Researchers can access NVQLink through integration with the NVIDIA CUDA-Q™ software platform, enabling the development of applications that utilize both classical and quantum computing resources [8].