A Guide to High Performance Computing in the AWS Cloud

A new ebook from Intel and AWS explores how AWS cloud can mitigate some of today’s top HPC challenges and enable engineers and researchers to innovate without constraints. “Most HPC processing is still conducted using on-premises systems. But for those companies unwilling to invest in new hardware to handle peak demands, moving HPC workloads to the cloud may be the answer.”

HPC Cloud Drives Innovation & Accelerates Time to Results

HPC applications and workloads have been constrained by limited on-premises infrastructure capacity, high capital expenditures and the constant need for technology refreshes. But there may be an answer: running your HPC workloads in the cloud. “According to the report, hundreds of companies in life sciences, financial services, manufacturing, energy and geo sciences, media and entertainment are solving complex challenges and speeding up time to results using HPC on AWS.”

Virtualization Adds Value, Benefits to HPC Environments

VMware explores the concepts of virtual throughput clusters and CPU overcommitment with VMware vSphere to create multitenant and agile virtual HPC computing environments.

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.

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.

Bing Uses NVIDIA GPUs, Tech to Enhance Object Detection and Image Search

Object detection and image search is seen as the next big thing when it comes to the search sector. And it’s easy to see why. A new white paper from NVIDIA explores how Bing deployed NVIDIA GPUs and technology to speed up object detection and visual search capabilities.

Why Demand for In-Memory Computing Platforms Keeps Growing

The demand for in-memory computing (IMC) and new IMC platforms continues to grow. What’s pushing this growth as new products like the GridGain in-memory computing platform hit the market? Download the new white paper from GridGain that explores this topic and covers what’s next for in-memory computing.

Why IMC Is Right for Today’s Fast-Data and Big-Data Applications

In-memory computing, or IMC, is being used for a variety of functions, including fintech and ecommerce to telecommunications and IoT, as it becomes well known for success with processing and analyzing big data.  Download the new report from GridGain, “Choosing the Right In-Memory Computing Solution,” to find out whether IMC is the right choice for your business. 

GridGain In-Memory Computing Platform Delivers Speed and Scalability

The GridGain In-Memory computing platform works to deliver speed and scalability for your large data needs. The platform is built on the Apache Ignite open source project. Download the new white paper today, “Introducing the GridGain In-Memory Computing Platform,” to find out if GridGain is the right choice for you. 

What a 200G HDR InfiniBand Solution Means for Today’s Advanced Data Centers

The world of today’s HPC computing is driven by the ever-increasing generation and consumption of digital information. And the ability to analyze this rapidly growing pool of data, and extrapolate meaningful insights, gives modern businesses a competitive edge. Download the full report, “Introducing 200G HDR InfiniBand Solutions,” to learn about how Mellanox Technologies end-to-end 200G HDR InfiniBand solution is helping enable the next generation of data centers.