With the advent of next generation workloads, such as Big Data and streaming analytics, Artificial Intelligence (AI), Internet of Things (IoT), genomics, and network security, CPUs are seeing different data types, mixtures of file sizes, and new algorithms with different processing requirements. Hewlett Packard Enterprise’s Bill Mannel explores how as big data continues to explode, data centers are benefitting from a relatively new type of offload accelerator: FPGAs.
Distributed GPU Performance for Deep Learning Training
March 28, 2019 by Leave a Comment
If there is a time deadline by which training must be completed, or if it simply takes too long to complete training, distributing the workload across many GPUs can be used to reduce training time. This flexibility allows GPU resources to be maximally utilized and provides high ROI since time to results can be minimized. HPE highlights recent research that explores the performance of GPUs in a scale-out and scale-up scenarios for deep learning training.
Scaling Production AI
March 21, 2019 by Leave a Comment
As AI models grow larger and more complex, it requires a server architecture that looks much like high performance computing (HPC), with workloads scaled across many servers and distributed processing across the server infrastructure. Barbara Murphy, VP of Marketing, WekaIO, explores how as AI production models grow larger and more intricate, server architecture gets more complex. Explore how tools like GPU clusters and more are moving the dial forward on AI.
AI Critical Measures: Time to Value and Insights
March 18, 2019 by Leave a Comment
AI is a game changer for industries today but achieving AI success contains two critical factors to consider — time to value and time to insights. Time to value is the metric that looks at the time it takes to realize the value of a product, solution or offering. Time to insight is a key measure for how long it takes to gain value from use of the product, solution or offering.
AI Goes Mainstream
March 14, 2019 by Leave a Comment
According to a recent Gartner survey, Artificial intelligence (AI) learning has moved from a specialized field into mainstream business use with 37 percent of respondents reporting their enterprises either had deployed AI or would do so shortly. WekaIO’s Barbara Murphy explores the path of artificial intelligence from the fringe to mainstream business practices. Find out what is driving AI growth and adoption.
Accelerate Time to Value and AI Insights
October 25, 2018 by Leave a Comment
In this edition of Industry Perspectives, HPE explores how reducing the cycle time for inferencing helps to accelerate time to market for deep learning and AI insights and solutions.
Driving Business Value: Transforming Financial Services with AI Technologies
January 5, 2018 by Leave a Comment
As the financial industry increasingly realizes the impact of faster analytical insights on overall business strategy, artificial intelligence (AI) techniques like machine learning are permeating nearly every industry. Download the new white paper from HPE and NVIDIA to learn how to transform financial services with AI technologies, as well as drive business value with NVIDIA GPU-accelerated deep learning.
Revolutionizing Healthcare with Artificial Intelligence
November 29, 2017 by Leave a Comment
Artificial intelligence has already had a profound effect on many industries. But for the healthcare sector, this collection of technologies is proving to be nothing short of transformative. Download the new report from HPE that explores how tools like GPUs and deep learning platforms are changing and progressing healthcare.
Virtual GPUs: Accelerate Mobility, Productivity & Security in Healthcare
November 13, 2017 by Leave a Comment
Many hospitals have turned to virtualization to provision high performance, secure virtual workstations using the compute power of a single physical hardware resource. That’s according to a new report from HPE, that explores how virtual GPU technology is helping to modernize healthcare data workloads.
AI is Inspiring the Next Wave of Healthcare Advancement
November 6, 2017 by Leave a Comment
Advancements in artificial intelligence, or AI, are revolutionizing healthcare and leading to breakthrough results in prediction and prevention. A new report from HPE focuses on how tech tools like GPUs and deep learning platforms are changing and advancing the health care industry.
