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Supermicro Showcases Powerful GPU Solutions at GTC 2017

In this video from GTC 2017, Rodolfo Campos from Supermicro describes the company’s innovative solutions for GPU-accelerated computing. “Leveraging our extensive portfolio of GPU solutions, customers can massively scale their compute clusters to accelerate their most demanding deep learning, scientific and hyperscale workloads with fastest time-to-results, while achieving maximum performance per watt, per square foot, and per dollar.”

How Intel FPGAs Power Azure Deep Learning

Microsoft Azure CTO Mark Russinovich recently disclosed major advances in Microsoft’s hyperscale deployment of Intel field programmable gate arrays (FPGAs). These advances have resulted in the industry’s fastest public cloud network, and new technology for acceleration of Deep Neural Networks (DNNs) that replicate “thinking” in a manner that’s conceptually similar to that of the human brain.

Radio Free HPC Looks at the New Volta GPUs for HPC & AI

In this podcast, the Radio Free HPC team looks at Volta, Nvidia’s new GPU architecture that delivers up to 5x the performance of its predecessor. “At the GPU Technology Conference, Nvidia CEO Jen-Hsun Huang introduced a lineup of new Volta-based AI supercomputers including a powerful new version of our DGX-1 deep learning appliance; announced the Isaac robot-training simulator; unveiled the NVIDIA GPU Cloud platform, giving developers access to the latest, optimized deep learning frameworks; and unveiled a partnership with Toyota to help build a new generation of autonomous vehicles.”

Podcast: Marc Hamilton on how Volta GPUs will Power Next-Generation HPC and AI

In this podcast, Marc Hamilton from Nvidia describes how the new Volta GPUs will power the next generation of systems for HPC and AI. According to Nvidia, the Tesla V100 accelerator is the world’s highest performing parallel processor, designed to power the most computationally intensive HPC, AI, and graphics workloads.

OpenPOWER Developer Congress Event to Focus on Machine Learning

Today IBM announced that the first annual OpenPOWER Foundation Developer Congress will take place May 22-25 in San Francisco. With a focus on Machine Learning, the conference will focus on continuing to foster the collaboration within the foundation to satisfy the performance demands of today’s computing market.

Baidu Deep Learning Service adds Latest NVIDIA Pascal GPUs

“Baidu and NVIDIA are long-time partners in advancing the state of the art in AI,” said Ian Buck, general manager of Accelerated Computing at NVIDIA. “Baidu understands that enterprises need GPU computing to process the massive volumes of data needed for deep learning. Through Baidu Cloud, companies can quickly convert data into insights that lead to breakthrough products and services.”

Podcast: How AI Can Improve the Diagnosis and Treatment of Diseases

In this AI Podcast, Mark Michalski from the Massachusetts General Hospital Center for Clinical Data Science discusses how AI is being used to advance medicine. “Medicine — particularly radiology and pathology — have become more data-driven. The Massachusetts General Hospital Center for Clinical Data Science — led by Mark Michalski — promises to accelerate that, using AI technologies to spot patterns that can improve the detection, diagnosis and treatment of diseases.”

Deep Learning on the SaturnV Cluster

“The basic idea of deep learning is to automatically learn to represent data in multiple layers of increasing abstraction, thus helping to discover intricate structure in large datasets. NVIDIA has invested in SaturnV, a large GPU-accelerated cluster, (#28 on the November 2016 Top500 list) to support internal machine learning projects. After an introduction to deep learning on GPUs, we will address a selection of open questions programmers and users may face when using deep learning for their work on these clusters.”

Tesla P100 GPUs Speed Cloud-Based Deep Learning on the Nimbix Cloud

“Nimbix has tremendous experience in GPU cloud computing, going all the way back to NVIDIA’s Fermi architecture,” said Steve Hebert, CEO of Nimbix. “We are looking forward to accelerating deep learning and analytics applications for customers seeking the latest generation GPU technology available in a public cloud.”

Andrew Ng Leaving Baidu for Next Chapter in AI

“As the founding lead of the Google Brain project, and more recently through my role at Baidu, I have played a role in the transformation of two leading technology companies into “AI companies.” But AI’s potential is far bigger than its impact on technology companies. I will continue my work to shepherd in this important societal change. In addition to transforming large companies to use AI, there are also rich opportunities for entrepreneurship as well as further AI research.”