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Penguin Computing Launches NVIDIA Tesla V100-based Servers

Today Penguin Computing announced strategic support for the field of artificial intelligence through availability of its servers based on the highly-advanced NVIDIA Tesla V100 GPU accelerator, powered by the NVIDIA Volta GPU architecture. “Deep learning, machine learning and artificial intelligence are vital tools for addressing the world’s most complex challenges and improving many aspects of our lives,” said William Wu, Director of Product Management, Penguin Computing. “Our breadth of products covers configurations that accelerate various demanding workloads – maximizing performance, minimizing P2P latency of multiple GPUs and providing minimal power consumption through creative cooling solutions.”

AMAX.AI Unveils [SMART]Rack Machine Learning Cluster

Today AMAX.AI launched the [SMART]Rack AI Machine Learning cluster, an all-inclusive rackscale platform is maximized for performance featuring up to 96x NVIDIA Tesla P40, P100 or V100 GPU cards, providing well over 1 PetaFLOP of compute power per rack. “The [SMART]Rack AI is revolutionary to Deep Learning data centers,” said Dr. Rene Meyer, VP of Technology, AMAX. “Because it not only provides the most powerful application-based computing power, but it expedites DL model training cycles by improving efficiency and manageability through integrated management, network, battery and cooling all in one enclosure.”

IBM Moves Data Science Forward with Integrated Analytics System

Today IBM announced the Integrated Analytics System, a new unified data system designed to give users fast, easy access to advanced data science capabilities and the ability to work with their data across private, public or hybrid cloud environments. “Today’s announcement is a continuation of our aggressive strategy to make data science and machine learning more accessible than ever before and to help organizations like AMC, begin harvesting their massive data volumes – across infrastructures – for insight and intelligence,” said Rob Thomas, General Manager, IBM Analytics.

Server Vendors Announce NVIDIA Volta Systems for Accelerated AI

Today NVIDIA and its systems partners Dell EMC, Hewlett Packard Enterprise, IBM and Supermicro today unveiled more than 10 servers featuring NVIDIA Volta architecture-based Tesla V100 GPU accelerators — the world’s most advanced GPUs for AI and other compute-intensive workloads. “Volta systems built by our partners will ensure that enterprises around the world can access the technology they need to accelerate their AI research and deliver powerful new AI products and services,” said Ian Buck, vice president and general manager of Accelerated Computing at NVIDIA.

No speed limit on NVIDIA Volta with rise of AI

In this special guest feature, Brad McCredie from IBM writes that launch of Volta GPUs from NVIDIA heralds a new era of AI. “We’re excited about the launch of NVIDIA’s Volta GPU accelerators. Together with the NVIDIA NVLINK “information superhighway” at the core of our IBM Power Systems, it provides what we believe to be the closest thing to an unbounded platform for those working in machine learning and deep learning and those dealing with very large data sets.”

Accelerate Innovation and Insights with HPC and AI

Vineeth Ram from HPE gave this talk at the HPC User Forum in Milwaukee. “Organizations across all sectors are putting Big Data to work. They are optimizing their IT operations and enhancing the way they communicate, learn, and grow their businesses in order to harness the full power of artificial intelligence (AI). Backed by high performance computing technologies, AI is revolutionizing the world as we know it—from web searches, digital assistants, and translations; to diagnosing and treating diseases; to powering breakthroughs in agriculture, manufacturing, and electronic design automation.”

Bright Computing Announces Integration with IBM Power Systems

Today Bright Computing announced that Bright Cluster Manager 8.0 now integrates with IBM Power Systems. “The integration of Bright Cluster Manager 8.0 with IBM Power Systems has created an important new option for users running complex workloads involving high-performance data analytics,” said Sumit Gupta, VP, HPC, AI & Machine Learning, IBM Cognitive Systems. “Bright Computing’s emphasis on ease-of-use for Linux-based clusters within public, private and hybrid cloud environments speaks to its understanding that while data is becoming more complicated, the management of its workloads must remain accessible to a changing workforce.”

Infinite Memory Engine: HPC in the FLASH Era

In this RichReport slidecast, James Coomer from DDN presents an overview of the Infinite Memory Engine IME. “IME is a scale-out, flash-native, software-defined, storage cache that streamlines the data path for application IO. IME interfaces directly to applications and secures IO via a data path that eliminates file system bottlenecks. With IME, architects can realize true flash-cache economics with a storage architecture that separates capacity from performance.”

NVIDIA Brings Deep Learning to Hyperscale at GTC China

Today GTC China, NVIDIA made a series of announcements around Deep Learning, and GPU-accelerated computing for Hyperscale datacenters. “Demand is surging for technology that can accelerate the delivery of AI services of all kinds. And NVIDIA’s deep learning platform — which the company updated Tuesday with new inferencing software — promises to be the fastest, most efficient way to deliver these services.”

NVIDIA P100 GPUs come to Google Cloud Platform

Today the good folks at the Google Compute Platform announced the availability of NVIDIA GPUs in the Cloud for multiple geographies. Cloud GPUs can accelerate workloads such as machine learning training and inference, geophysical data processing, simulation, seismic analysis, molecular modeling, genomics and many more high performance compute use cases. “Today, we’re happy to make some massively parallel announcements for Cloud GPUs. First, Google Cloud Platform (GCP) gets another performance boost with the public launch of NVIDIA P100 GPUs in beta.