Gartner Catalyst Conference San Diego, California, August 21-24, 2017 – Inspur, a leading datacenter and cloud computing total solutions provider, showcased their latest generation servers based on the Intel® Xeon® Scalable Processor family. These servers support next generation datacenter, cloud infrastructure, and AI platforms. On August 22nd, Dolly Wu, VP and GM of Inspur’s US Cloud Datacenter, and Alfie Lew, Solutions Architect, gave a keynote presentation at the Grand Hyatt San Diego, which covered “How to design large-scale AI and Deep Learning platforms, from data pre-processing to training and inferencing.”
Gartner, the world’s leading information technology research and advisory company, hosted the Gartner Catalyst Cloud and IoT Conference. This event attracts many CTOs, engineers, scientists, researchers, and authoritative analysts each year. This year, Artificial Intelligence is the primary focus. Gartner believes that within 10 years, AI will become the industry’s most disruptive technology, driving technological advancements in computing, data collection, and deep neural networks.
“Innovations in computing drives strong momentum for AI development. Inspur is committed to providing our users with exclusive AI computing platforms. We are the only manufacturer with the capability of providing a complete set of turnkey solutions for AI. Inspur is an important partner and supplier of world-leading CSPs such as Baidu, Tencent, and Alibaba. Inspur’s AI platforms are widely adopted for autonomous car technology, image and voice recognition. These account for over 60% of the AI market share in China” said Dolly.
Inspur showcased three newly released AI computing platforms this year. Inspur AGX-2, the world’s highest density AI Supercomputer, supports up to 8GPUs in a 2U form factor. The network bandwidth between GPUs can reach 150GB/s. This product boasts ideal linear extension when using TensorFlow framework and GoogleNet model testing. 8GPU configurations can process 1165 images per second, which is 2.49 times that of 4GPUs. Another key product was the Inspur SR-AI Rack, which can pool the physical decoupling of GPUs/CPUs. Each node supports a maximum of 16 GPUs, and each system supports up to 64 GPUs. It’s peak capacity can reach 512TFlops. This solution supports scale applications in Baidu’s AI business.
Inspur also provides end-to-end solutions for AI applications, covering AI hardware, framework, management and optimization tools, as well as assisting customers in transferring applications. Inspur created the Caffe-MPI framework, based on the mainstream AI framework Caffe. In May 2017, Inspur released the AI training cluster management software, AIStation, which provides the complete business process of preparing data to analyzing training results. It supports various computing frameworks such as Caffe, TensorFlow, and CNTK and diverse models such as GoogleNet, VGG, ResNet. The Inspur AIStation has an unified management system for different models and training tasks. It documents and analyzes loss functions and training errors during the training process, enabling users to identify the root cause of problems in AI models during the training, not after.
“In addition to developing various platforms and computing tools, Inspur is also developing an AI industrial ecosystem. Inspur and Intel jointly developed FPGA, KNL, and relevant products. Together with NVIDIA, Inspur is co-developing AI computing and innovative products based on GPUs. Inspur fosters close partnerships with many top Internet companies and integrates our computing platforms with AI algorithms and software applications. The goal is to deliver end-to-end solutions to promote the rapid growth of AI adoption.” said Dolly.
Inspur is the leader in intelligent computing and ranked top five in worldwide server manufacturing. We provide cutting-edge hardware design and deliver extensive AI product solutions. Inspur provides customers with purpose-built servers and AI solutions that are Tier 1 in quality and energy efficiency. Inspur’s products are optimized for applications and workloads built for data center environments. To learn more, http://www.inspursystems.com.
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Inspur Systems Inc.
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