Migrating and building solutions in the cloud is challenging, expensive and not nearly as performant. Oracle Cloud Infrastructure (OCI) has been working with NVIDIA on giving you the on-premises performance you need with the cloud benefits and flexibility you expect. In this session we'll discuss how you can take big data and analytics workloads, database workloads, or traditional enterprise HPC workloads that require multiple components along with a portfolio of accelerated hardware and not only migrate them to the cloud, but run them successfully. We'll discuss solution architectures, showcase demos, benchmarks and take you through the cloud migration journey. We'll detail the latest instances that OCI provides, along with cloud-scale services.
Learn how you can scale your Deep Learning & traditional HPC-based workloads in Azure using powerful NVIDIA Tesla-based GPUs and scale out using Azure's low-latency networking backed by InfiniBand infrastructure. This is a great session to learn about Azure's accelerated offerings and roadmap in the future. This session will cover specific announcements on what's to come in both hardware and software. This is a session you don't want to miss!
Learn how you can easily provision cloud-based workstations and VDI infrastructure to provide designers, engineers and scientists the ability to create high fidelity models, designs and visualizations. Powered by NVIDIA's Tesla GPUs and NVIDIA GRID capabilities you can run hardware accelerated applications to design the next concept car or industrial parts or even creating the next Hollywood blockbuster. Hear about customer stories and learn about partner solutions that enable anyone to have a high end workstation in their back pocket!
Learn how you can scale you’re your traditional HPC based applications or workloads in Azure utilizing NVIDIA’s powerful Tesla based GPUs and Azure’s low latency networking. Additoinally learn how our customers are running Deep Learning and AI workloads utilizing these GPUs in Azure to create the best speech recognition models, Natural language processing or image/object detection for scenarios such as digital assistants or autonomous cars.
Learn how you can easily provision cloud-based workstations to provide designers, engineers and scientists the ability to create high fidelity models, designs and visualizations. Powered by NVIDIA’s Tesla GPUs and NVIDIA GRID capability you can run hardware accelerated applications to design the next concept car or industrial parts or even creating the next animation blockbuster. Learn more about Altair who have released their SolidThinking Inspire application for manufacturing and automotive customers to create industrial designs.
This talk will cover the recently announced state-of-the-art GPU visualization and compute infrastructure in Microsoft's Azure cloud including how the GPUs are exposed using new capabilities in Hyper-V as part of Microsoft Server 2016, more importantly, the session will cover how you can leverage deep learning libraries such as CNTK on the N-Series GPUs. CNTK is an open source computational network toolkit that is designed for single GPU and Multi-GPU scenarios and is a highly flexible toolkit. This session is aimed at folks who would like to learn more about how to utilize and leverage Azure for deep learning, simulation, HPC, visualizing Open GL and DirectX applications.