Sign up for our newsletter and get the latest HPC news and analysis.
Send me information from insideHPC:


Virtualizing HPC Throughput Computing Environments

This pioneering study focuses primarily on the virtual performance of throughput workloads. Download the new white paper from VMWare that explores the possibilities of virtualizing HPC throughput in computing environments. 

Improving Speed, Scalability and the Customer Experience with In-Memory Data Grids

Over the last decade, the new anytime, anywhere, personalized experience has driven query and transaction volumes up 10 to 1000x. It has created 50x more data about customers, products, and interactions. It has also shrunk the response times customers expect from days or hours to seconds or less. Download the new report from GridGain to learn how in-memory computing and in-memory data grids are tackling today’s data storage challenges. 

Accelerate Your Business with HPC

This best-practice guide will help you evaluate and consider the best approach to adopt HPC for your business needs as well as the solution components to be considered in its implementation. Download the new report from Intel that explores how to accelerate your business with HPC. 

Why an HPC Solution is Right for your Business

This paper will explore ways HPC systems are being used in a wide range of business domains and disciplines to solve complex problems efficiently with related research and statistics. Download the new report from that explores why a HPC solution may be the right choice for your business. 

How AI & Machine Intelligence is Assisting Clinicians

According to a new Ovum white paper, sponsored by NVIDIA, there is a huge opportunity to help physicians with AI-based systems that can cut down on the workload across protocoling, imaging analysis, and automated reporting of the results.

Enhancing Diagnostic Quality and Productivity with AI

This report delves into many advances in clinical imaging being introduced through AI. The activity today is mostly focused on working with the current computational environment that exists in the radiologist’s laboratory, and examines how advanced medical instruments and software solutions that incorporate AI can augment a radiologist’s work. Download the new white paper from NVIDIA that explores increasing productivity with AI and how tools like deep learning can enhance offerings and cut down on cost. 

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.

Evolving Considerations for Data Storage in Life Sciences

The latest lab instruments are driving the need for powerful IT resources in the life sciences. Laboratory technologies are evolving rapidly. Download the new report from Quantum, to discover the latest for data storage in life sciences. 

Where Ready Nodes are the Optimal Choice

The perennial question for IT asset acquisition is whether to build or consume, and there is no ‘one size fits all’ answer to the question. Individual components provide the maximum flexibility, but also require the maximum of self support. Reference architectures provide the recipe and guidance, but the customer still has the responsibility for making the system work.

PLASTER: A Framework for Deep Learning Performance

Both hardware and software advances in deep learning (DL), a type of ML, appear to be catalysts for the early stages of a phenomenal AI growth trend. Download the new white paper from NVIDIA that addresses the challenges described in PLASTER, which is important in any  deep learning solution, and it is especially useful for developing and delivering the inference engines underpinning AI-based services.