@ansysinc and NVIDIA are accelerating design and engineering simulations with physical #AI and #OpenUSD. See how accelerated computing and @NVIDIAOmniverse technologies enable designers and engineers to iterate faster and reduce energy consumption. Explore more at #GTC25: https://nvda.ws/421gfmL
In this video, NVIDIA and partners QuEra and Quantinuum dive into the concept of accelerated quantum supercomputing, which brings quantum hardware and #AI supercomputing together to perform useful quantum computations. Join us as we explore how NVIDIA is bridging the gap between classical and #quantumcomputing, paving the way for the next computing revolution. Learn more:…
To help make training more accessible, a team of researchers from NVIDIA and Carnegie Mellon University developed a GPU-accelerated reinforcement learning simulator that can teach a virtual robot human-like tasks in record time: https://nvda.ws/2AB7a7t
Hear from NVIDIA CEO Jensen Huang, @SiemensKnowledgeHub CEO Roland Busch, and @BMW AG board member Milan Nedeljković as they discuss the next stage of industrial automation. Learn how groundbreaking technologies like Siemens Xcelerator and @NVIDIAOmniverse enable companies of all sizes to build closed-loop, truly real-time, full-design-fidelity immersive digital twins. Deep dive into the announcements at…
Imagine the next generation of recommender systems that will serve customers better. Getting insights from petabytes of data in minutes instead of days. Controlling fleets of robots that interact safely with humans. NVIDIA-Certified servers ensure that modern applications can run at maximum performance almost anywhere—from #datacenter to edge. Learn more about enterprise accelerated computing: https://nvda.ws/2OiWKmI
At #VMworld 2019, NVIDIA announced it’s bringing GPU-accelerated AI to modern enterprise IT. With the new Virtual Compute Server, a new hybrid cloud with VMware, NVIDIA T4 GPUs in mainstream servers and T4 in AWS, and accelerated #datascience with RAPIDS, we’ve connected all the dots. Learn more: https://nvda.ws/2zjKhUt
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