Optimizing an artificial intelligence architecture: The race is on

#artificialintelligence

AI applications often benefit from fundamentally different architectures than those used by traditional enterprise apps. And vendors are turning somersaults to provide these new components. This complimentary document comprehensively details the elements of a strategic IT plan that are common across the board – from identifying technology gaps and risks to allocating IT resources and capabilities. You forgot to provide an Email Address. This email address doesn't appear to be valid.


2018 Brings Once-in-a-Generation Shift in Data Storage - Direct2DellEMC

#artificialintelligence

I have to be honest. Much of what I predict to be significant for the data storage industry in 2018 may go unnoticed by most IT professionals, even though some of these concern major progress that hasn't been experienced in nearly a full generation!


Seamlessly scaling HPC and AI initiatives with HPE leading-edge technology

#artificialintelligence

Accelerate your HPC and AI workloads with new products, advanced technologies, and services from HPE. A growing number of commercial businesses are implementing HPC solutions to derive actionable business insights, to run higher performance applications and to gain a competitive advantage. In fact, according to Hyperion Research, the HPC market exceeded expectations with 6.8% growth in 2018 with continued growth expected through 2023.1 Complexities abound as HPC becomes more pervasive across industries and markets, especially as you adopt, scale and optimize HPC and AI workloads. HPE is in lockstep with you along your AI journey. We help you get started with your AI transformation and scale more quickly, saving time and resources.


Intel Talks at Hot Chips gear up for "AI Everywhere" - insideHPC

#artificialintelligence

Naveen Rao is vice president and general manager of the Artificial Intelligence Products Group at Intel Corporation. Today at Hot Chips 2019, Intel revealed new details of upcoming high-performance AI accelerators: Intel Nervana neural network processors, with the NNP-T for training and the NNP-I for inference. Intel engineers also presented technical details on hybrid chip packaging technology, Intel Optane DC persistent memory and chiplet technology for optical I/O. To get to a future state of'AI everywhere,' we'll need to address the crush of data being generated and ensure enterprises are empowered to make efficient use of their data, processing it where it's collected when it makes sense and making smarter use of their upstream resources," said Naveen Rao, Intel vice president and GM, Artificial Intelligence Products Group. "Data centers and the cloud need to have access to performant and scalable general purpose computing and specialized acceleration for complex AI applications.


Hyperconvergence: What it is, how it works, and why it matters

ZDNet

Reimagining business for the digital age is the number-one priority for many of today's top executives. We offer practical advice and examples of how to do it right. Hyperconvergence is a marketing term referring to a style of data center architecture that trains the attention of IT operators and administrators on the operating conditions of workloads over systems. The main objective of hyperconverged infrastructure (HCI) has been to simplify the management of data centers by recasting them as transportation systems for software and transactions, rather than networks of processors with storage devices and memory caches dangling from them. The "convergence" that HCI makes feasible in the data center comes from the following: Since the dawn of information technology, the key task of computer operators has been to monitor and maintain the health of their machines.