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行政方面来说 基础设施 Retail 世界各地

IBM 电力系统: 对于为基础的学习深AI的领先平台,为企业

Picture this: A few years ago, the CEOs of every major enterprise in the world leaned over to their CIOs and CTOs and said, “We have to figure out big data.” Recently, they asked their teams to embrace the cloud. The strategic imperative this year is artificial intelligence (AI).

Enterprises are looking to new AI methods to garner insights from data, to offer customers a better experience and to maximize revenue. From better fraud detection to chatbots to recommendation engines, enterprises are fast adopting a new data analytics method called deep learning. Deep learning is used in many everyday mobile services we use, such as Google Voice and Apple Siri, to enhance our interactions with our smartphones.

These deep learning–based AI methods work by taking in lots of data and training a computer how to extract insight from it. This requires significant computing power, and GPU-accelerated servers have become the norm for running AI workloads.

从高性能计算社区的经验教训
The world of high-performance computing has long recognized the importance of scalable, differentiated hardware that pushes the boundaries of computing. That’s why so many supercomputing clusters around the world run on IBM Power Systems. It’s also why Power Systems received two of the US Department of Energy’s CORAL grants. When Oak Ridge and Lawrence Livermore National Laboratories selected IBM to build their new supercomputers, Summit and Sierra, they did so for the Power architecture’s data-centric computing and powerful GPU and FPGA accelerator technology.

As GPU-driven cognitive computing continues to grow, so does the advantage of IBM Power Systems. With the first-ever NVIDIA NVLink GPU-to-CPU interface, 的 IBM S822LC for HPC with four NVIDIA P100 Tesla GPUs outperforms a competitor’s x86 system by 2.5 times! This enables researchers to tackle a wide variety of problems from climate change to aeronautical engineering in new ways. You can see more about how Oak Ridge is using IBM Power Systems to solve these challenges.

But different problems require different tools, and that’s why IBM Power Systems also feature the Coherant Accelerator Processor Interface, or CAPI. CAPI allows researchers to program FPGA cards that are deeply integrated with the Power CPU, offering faster, simpler FPGA analysis. With this technology, 的 University of Auburn is using CAPI-attached FPGAs and POWER8 to combat the growing problem of malware on Android devices, again highlighting the versatility of the Power architecture for research applications.

The HPC community was ahead of the game when it came to cognitive, already exploring deep learning and machine learning for cognitive solutions to the world’s toughest problems. 然而, as the promise of cognitive became more and more enticing, the business world also began taking notice of IBM Power Systems for the next frontier of computing.

Transforming businesses with high-performance data analytics
The best practices of HPC systems using accelerator technology have infiltrated the boardroom as IBM Power Systems helps business clients of all sizes achieve competitive differentiation and explore new cognitive technology. No longer doing just high-performance computing, businesses have adopted high-performance data analytics to find better AI-driven ways to help their customers.

One such business is Kinetica, a GPU-accelerated database provider. Powered by the IBM NVLink server, Kinetica helps major retailers deliver hyper-targeted, real-time marketing offers to their customers, bringing them the information they need to make a purchase, at the time they want to make the purchase. 的 Kinetica GPU database performs 2.5x better on POWER8 with NVLink systems, and is helping to usher in “real real-time” analytics for retailers and more.

Embracing the power of open for deep learning with PowerAI
As founding members of the OpenPOWER Foundation, IBM embraces collaborative innovation. Unlike some vendors, we realize that true deep-learning superiority can be achieved only by working with a community of experts, as evidenced by our integration of NVLink. That’s why we created PowerAI, the world’s leading open source, deep-learning toolkit for the enterprise. Unpacked through a simple binary, PowerAI brings optimized and integrated versions of the best open source, deep-learning frameworks, including the recently announced TensorFlow 1.0. Even better, with optimization and tuning for Power Systems, TensorFlow runs 30 percent faster on Power than on x86. Already we’re seeing users leveraging PowerAI in a variety of ways, such as improving worker safety with the use of drones, increasing accuracy in credit risk analysis and more.

With PowerAI, users are able to get off the ground and run much more simply, without a staff of PhDs to get their deep-learning network trained. Throw in the enterprise-class support from IBM and IBM Lab Services, and it’s easy to see why PowerAI is the preferred choice for deep learning.

Deep learning–based AI solutions provide a great opportunity for IBM Business Partners, and Power Systems is the leading platform for these solutions. 你可以让我知道你在想什么,通过使用下面的评论功能.

萨米特古普塔
副总裁, 高性能计算 & 数据分析

 

Discover the new OpenPOWER LC servers: http://ibm.co/1RqkhYY

Help your customers get started with PowerAI: http://ibm.co/2ngVGkb

Tackle new problems with NVIDIA Tesla P100 on the only architecture with CPU:GPU NVLink: http://ibm.co/29AXauT

萨米特·古普塔是副总统在IBM的Power系统业务, 负责提供 (产品) 和业务管理的高性能计算 (HPC) 和数据分析 (HPDA). 与多个 20 多年经验, 萨米特在HPC领域公认的行业专家, 深度学习, 和数据分析. 他曾在GPU通用汽车加速计算产品在NVIDIA.

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1 评论

  1. wnwest@us.ibm.com'

    比尔·韦斯特

    令人兴奋的东西. 用例为这个正在迅速增长.

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