IBM's New PowerAI Features Again Demonstrate Enterprise AI Leadership by Patrick Moorhead in Forbes.
What appears to be a semi automation of various areas of machine learning, to make them easier to create and maintain and work with relevant data. The claim is with minimal ML expertise. Notable to me is one emphasis on the analysis of image and video data.
" ... Recently, IBM announced a significant revamp of PowerAI, seeking to address some of the bigger challenges facing developers and data scientists—cutting down the time required for AI system training significantly, and simplifying the development experience. .... "
IBM writes about this, and describes the system, which requires POWER HPC hardware, you can test it free at the link:
" .. PowerAI makes deep learning, machine learning, and AI more accessible and more performant. By combining this software platform for deep learning with IBM® Power Systems™, enterprises can rapidly deploy a fully optimized and supported platform for machine learning with blazing performance. The PowerAI platform includes the most popular machine learning frameworks and their dependencies, and it is built for easy and rapid deployment. PowerAI requires installation on IBM Power Systems S822LC for HPC server infrastructure ... "
See also their blog on OpenPower, and a description of advances.
Showing posts with label PowerAI. Show all posts
Showing posts with label PowerAI. Show all posts
Saturday, May 27, 2017
Thursday, January 26, 2017
Q&A on PowerAI
For research I took a look at the PowerAI offering. See the complete article:
Putting the “AI” in PowerAI
A Q&A with IBM Research’s Hillery Hunter
IBM’s latest Power servers come with an AI twist. Optimized for deep learning, a new so-called PowerAI toolkit will “help train the systems to think and learn in a more human-like way, at a faster pace,” as announced at SC16, the International Conference for High Performance Computing, Networking, Storage and Analysis.
I spoke with Hillery Hunter, IBM Research’s director of Systems Acceleration and Memory and Memory Strategist, about her team’s contribution to the software behind the world’s fastest deep learning servers.
How was the AI added, and what does that mean for how a Power system functions?
Today’s launch represents our first public offering in hardware-software co-optimization for deep learning. Researchers have worked closely with IBM’s systems engineers to create code that is optimized to the Power S822LC (IBM’s highest-performing OpenPOWER server).
We used the S822LC’s unique design – including high-bandwidth NVLink interconnect, not just between pairs of GPUs, but also between the GPUs and the CPUs – to deliver higher deep learning training performance.
This means that the co-designed PowerAI hardware and software can build learned models from images, speech, or other media in less time than prior generations of hardware and software. Deep learning training time is a key metric for developer productivity in this domain. It enables innovation at a faster pace, as developers can invent and try out many new models, parameter settings, and data sets. .... "
Putting the “AI” in PowerAI
A Q&A with IBM Research’s Hillery Hunter
IBM’s latest Power servers come with an AI twist. Optimized for deep learning, a new so-called PowerAI toolkit will “help train the systems to think and learn in a more human-like way, at a faster pace,” as announced at SC16, the International Conference for High Performance Computing, Networking, Storage and Analysis.
I spoke with Hillery Hunter, IBM Research’s director of Systems Acceleration and Memory and Memory Strategist, about her team’s contribution to the software behind the world’s fastest deep learning servers.
How was the AI added, and what does that mean for how a Power system functions?
Today’s launch represents our first public offering in hardware-software co-optimization for deep learning. Researchers have worked closely with IBM’s systems engineers to create code that is optimized to the Power S822LC (IBM’s highest-performing OpenPOWER server).
We used the S822LC’s unique design – including high-bandwidth NVLink interconnect, not just between pairs of GPUs, but also between the GPUs and the CPUs – to deliver higher deep learning training performance.
This means that the co-designed PowerAI hardware and software can build learned models from images, speech, or other media in less time than prior generations of hardware and software. Deep learning training time is a key metric for developer productivity in this domain. It enables innovation at a faster pace, as developers can invent and try out many new models, parameter settings, and data sets. .... "
Tensorflow and PowerAI
Great to see integration of key AI software, lets also start to see excellent examples of their use with supporting data architecture.
IBM brings Google's AI tools to its Power hardware
IBM is integrating the open-souce TensorFlow into its PowerAI toolkit
By Agam Shah
Google has cool technology to recognize images and speech, and IBM's hardware can diagnose diseases. ... Combine the two, and you get a powerful computer with serious brains.
IBM is merging Google's artificial intelligence tools with its own cognitive computing technologies, allowing deep-learning systems to more accurately find answers to complex questions or recognize images or voices.
Google's open-source TensorFlow machine-learning tools are being packed into IBM's PowerAI, which is a toolkit for computer learning. The two can be combined to improve machine learning on IBM's Power servers.
A computer learns as more data fed into its system, much like how a human learns. PowerAI and TensorFlow tools can help track patterns and classify data, and spit out approximate answers to queries. The answers will be more accurate as a computer learns more. .... "
IBM brings Google's AI tools to its Power hardware
IBM is integrating the open-souce TensorFlow into its PowerAI toolkit
By Agam Shah
Google has cool technology to recognize images and speech, and IBM's hardware can diagnose diseases. ... Combine the two, and you get a powerful computer with serious brains.
IBM is merging Google's artificial intelligence tools with its own cognitive computing technologies, allowing deep-learning systems to more accurately find answers to complex questions or recognize images or voices.
Google's open-source TensorFlow machine-learning tools are being packed into IBM's PowerAI, which is a toolkit for computer learning. The two can be combined to improve machine learning on IBM's Power servers.
A computer learns as more data fed into its system, much like how a human learns. PowerAI and TensorFlow tools can help track patterns and classify data, and spit out approximate answers to queries. The answers will be more accurate as a computer learns more. .... "
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