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Plug and Play Liquid Cooling for AI and HPC

Cutting edge AI and HPC clusters require the highest performance versions of the latest CPUs and GPUs. Coming along with the throughput, these components bring high heat loads. Often, liquid cooling becomes a requirement in these circumstances. This sponsored post from Asetek explores how increasing AI and HPC workloads, as well as accompanying components like CPUs and GPUs, are heating up computing and bringing liquid cooling to the forefront. 

HPC and AI Convergence Take Center Stage for Intel at SC18

Intel has Big Plans at SC18 later this month, many of which are focused on HPC and AI convergence, and the intersections between these two sectors. “HPC is expanding beyond its traditional role of modeling and simulation to encompass visualization, analytics, and machine learning. Intel scientists and engineers will be available to discuss how to implement AI capabilities into your current HPC environments and demo how new, more powerful HPC platforms can be applied to meet your computational needs now and in the future.”

How to Control the AI Tsunami

Clients tell us there is a wide range of users beyond data scientists that want to get in on the AI action as well, so we recently updated LiCO with new “Lenovo Accelerated AI” training and inference templates. These templates allow users to simply bring their dataset into LiCO and request cluster resources to train models and run inference without coding.”

The Rising AI Tide in HPC – Are You Ready?

This guest article from Dr. Bhushan Desam, Lenovo’s Director, Global Artificial Intelligence Business covers how new HPC tools like Lenovo’s LiCO (Lenovo Intelligent Computing Orchestration) are working to address the growing popularity of AI in HPC and to simplify the convergence of HPC and AI. 

Scale Your HPC Environment for AI Workloads

In this guest post, Intel Data Center Group’s Trish Damkroger covers how to scale your HPC environment for AI workloads. “Intel’s HPC interoperable framework assists developers with tools to modernize applications for advanced workloads and support for development languages like Python, C++, and Fortran.”

Exploring the Convergence of AI, HPC & More

This fall, the Intel Extreme Performance Users Group (IXPUG) will host a free conference focused on key high-performance computing, artificial intelligence, and cloud computing topics.This guest post from Intel explores how AI and HPC are converging and and how the two areas of technology — as well as cloud computing — are converging. 

NVIDIA Offers Framework to Solve AI System Challenges

At the recent NVIDIA GPU Technology Conference (GTC) 2018, Jensen Huang, NVIDIA President and CEO, during his presentation focused on a new framework designed to contextualize the key challenges using AI systems and delivering deep learning-based solutions. A new white paper sponsored by NVIDIA outlines these requirements — coined PLASTER.

See How the Convergence of HPC and AI is Changing Supercomputing at ISC 2018

It’s a fascinating time for High Performance Computing. The convergence of AI, analytics, and simulation and modeling is transforming systems and users. “So, there’s a lot to talk about it at ISC 2018, including announcements from Intel on next-generation Intel® Omni-Path Architecture and Intel® Select Solutions for Professional Visualization, to Machine Learning Day with Pradeep Dubey, and demos, presentations, and panel discussions in Intel’s Collaboration Hub.”

New eGuide: Practical Considerations for Embracing AI in Your HPC Environment

The advent of AI is creating new possibilities to tackle increasingly complex research beyond the traditional HPC analytics, modeling, and simulation workloads. This guest post from Intel highlights key points from its new eGuide that focuses on embracing AI in your HPC environment. “Thanks to the efforts of HPC experts and those they support, we face a bright and exciting future of scientific understanding and innovation to benefit humanity.”

AI Hardware to Support the Artificial Intelligence Software Ecosystem

Balance ratios are key to understanding the plethora of AI hardware solutions that are being developed or are soon to become available. This post from an insideHPC Special Report explores AI hardware options to support the growing artificial intelligence software ecosystem.