Search for:. IBM is once again among the first to market in bringing the latest NVIDIA GPU technology to the cloud, which is driving the next wave of innovation and real-time collaboration across a wide gamut of industries including healthcare and financial services, oil and gas exploration, media, architectural, engineering and construction. Companies can spin up these GPU resources on IBM Cloud on an on-demand basis to help cut their processing time from days or weeks to down to hours, compared to using CPU-only based servers. The CPU offloads compute-intensive portions of the application to the GPU, which processes large blocks of data at one time rather than sequentially boosting the overall performance in a server environment. GPUs, accelerate more than scientific, engineering, deep learning, data analytics and other HPC applications, are better for high performance computing than CPUs alone because of the thousands of efficient, high-performance cores designed to process information faster. MapD analyzes multi-billion row datasets in just milliseconds, but lightning speed is only part of the equation. By harnessing the power of GPU acceleration in the scalable cloud, MapD is also able offer this supercomputing performance on a pay-as-you-go basis, which makes this new approach to tackling big data problems accessible to customers of all sizes. Furthermore, the MapD platform can be deployed in public or private cloud, in virtualized environments, on-premise and in combinations of any of these scenarios.
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AI at the Edge supports a myriad of time-critical applications, such as automated vehicles, remote health care, and advanced AR Augmented Reality and VR Virtual Reality , and the need for powerful servers across a wide variety of implementations will only increase with the continued rollout of 5G networks. As the amount of data generated by Edge devices continues to grow at a staggering rate, organizations are facing many challenges, including bandwidth congestion, lack of scalability, processing delays, data security and integrity, including compliance and privacy issues. Supermicro Edge servers aim to transform enterprises and empower them with intelligent connectivity from IoT devices to the cloud. All are currently in NGC validation. Besides emerging AI to the Edge implementations, these new Supermicro server-based solutions provide exceptional value across a wide range of industries including manufacturing, retail, oil and gas, healthcare, and smart cities. For more on Supermicro GPU servers, visit www.
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Customers in industries including retail , manufacturing, and public safety are using Azure Stack Edge to bring Azure capabilities into the physical world and unlock scenarios such as the real-time processing of video powered by Azure Machine Learning. Equally important to bringing you a great device is enabling our partners to bring you innovative applications to meet your business needs. As self-checkouts grow in prevalence, Malong Technologies is innovating in AI applications for loss prevention. These solutions are mission critical to our manufacturing customers. Azure Stack Edge provides the performance, stability and availability they require. Building computer vision solutions to improve performance and safety in manufacturing and other industries is a key area of innovation for XXII. With this solution, Azure allow us to harvest the full potential of NVIDIA GPUs directly on edge and be able to provide our clients in retail, industry and smart city with smart video analysis that are easily deployable, scalable and easily manageable with Azure stack Edge. There are even more exciting developments with Azure Stack Edge coming. Our Rugged series for sites with harsh or remote environments is also coming this year, including the battery-powered form-factor that can be carried in a backpack. The versatility of these Azure Stack Edge form-factors and cloud-managed capabilities brings cloud intelligence and compute to retail stores, factory floors, hospitals, field operations, disaster zones, and rescue operations.
The world of supercomputing is evolving. Work once limited to high-performance computing HPC on-premises clusters and traditional HPC scenarios, is now being performed at the edge, on-premises, in the cloud, and everywhere in between. These modern needs require advanced solutions that were traditionally limited to a few organizations because they were hard to scale and took a long time to deliver. Today, Microsoft Azure delivers HPC capabilities, a comprehensive AI platform, and the Azure Stack family of hybrid and edge offerings that directly address these challenges. Registration is free, so sign up to learn how Microsoft is powering transformation. Azure enables a wide range of visualization workloads, which are critical for desktop virtualization as well as professional graphics such as computer-aided design, content creation, and interactive rendering.