We love seeing all of the social media posts from developers using NVIDIA GPUs – here are a few highlights from the week: Should be titled everyone partners with nvidia on AI development. Cuda is controlling the market. https://t.co/75ElB6ZhO2 — Geoffrey Papilion (@gpapilion) January 20, 2016 OMG! — I need this yesterday NVIDIA® DIGITS™ DevBox
If you’re like me, you have a GPU-accelerated in-situ visualization toolkit that you need to run on the latest-generation supercomputer. Or maybe you have a fantastic OpenGL application that you want to deploy on a server farm for offline rendering. Even though you have access to all that amazing GPU power, you’re often out of
Alibaba Group’s cloud computing business, AliCloud, signed a new partnership with NVIDIA to collaborate on AliCloud HPC, the first GPU-accelerated cloud platform for high performance computing (HPC) in China. AliCloud will work with NVIDIA to broadly promote its cloud-based GPU offerings to its customers — primarily fast-growing startups – for AI and HPC work. “Innovative companies
Dr. Paul Shapiro, Professor at University of Texas at Austin shares how his team is using the Tesla-accelerated Titan Supercomputer at Oak Ridge National Laboratory to analyze and visualize new cosmological simulations. Watch Paul’s talk in the NVIDIA GPU Technology Theater at SC15: Watch Now Learn more about their research at http://arxiv.org/abs/1511.00011 Share your GPU-accelerated
University of California, Berkeley researchers are using deep learning and NVIDIA GPUs to create a new generation of robots that adapt to changing environments and new situations without a human reprogramming them. Their robot “Darwin” learned how to keep his balance on an uneven surface – and GPUs were essential for learning of this complexity.