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Cloud Adoption for HPC: Trends and Opportunities

This whitepaper is an insideHPC Special Research Report sponsored by Univa® Corporation: Cloud Adoption for HPC:
Trends and Opportunities. Recently, InsideHPC ran a survey, sponsored by Univa, to identify the trends and opportunities for adoption of HPC workflows in the cloud. There were 143 respondents: 39% academic/non-profit, 17%  manufacturing or engineering, 11% government research; 59% North America, 24% Europe, 8% Asia; 59% with less than 20,000 employees. This whitepaper is a summary of what was learned from this survey.

The Use of High-Performance Polymers in HPC and Data Center Applications

This whitepaper from CPC details the use of high-performance polymers in HPC and data center applications where plastics advance as a viable, reliable option in liquid cooling systems. CPC offers the industry’s first PPSU QD, purpose-built for liquid cooling use in HPC and data centers.

Data Center Transformation: Why a Workload-Driven and Scalable Architecture Matters

In this whitepaper QCT (Quanta Cloud Technology) highlights Data Center Transformation: Why a Workload-Driven and Scalable Architecture Matters. The company is offering its QCT Platform on Demand (QCT POD) solution that empowers enterprises to kickstart their transformation journey. It combines advanced technology with a unique user experience to help enterprises reach better performance and gain more insights. With flexibility and scalability, QCT POD enables enterprises to address a broader range of HPC, Deep Learning, and Data Analytic demands that fulfill various applications.

Deep Learning for Natural Language Processing – Choosing the Right GPU for the Job

In this new whitepaper from our friends over at Exxact Corporation we take a look at the important topic of deep learning for Natural Language Processing (NLP) and choosing the right GPU for the job. Focus is given to the latest developments in neural networks and deep learning systems, in particular a neural network architecture called transformers. Researchers have shown that transformer networks are particularly well suited for parallelization on GPU-based systems.

Metal or Plastic Quick Disconnects? Key Considerations

Long-term, leak-free performance in fluid management systems requires robust connectors. As liquid cooling is increasingly deployed in high performance computing and data center applications, these industries demand quick disconnects (QDs) purpose-built for their needs. Gone are the days of making do with metal ball-and-sleeve connectors designed for heavy industrial use. Download the new guide from CPC that outlines key performance factors of new PPSU QDs compared to traditional all-metal QDs for liquid cooling.

Five Essential Strategies for Successful HPC Clusters

Successful HPC clusters are powerful assets for an organization. However, these systems are complex and must be built and managed properly to realize their potential. If not done properly, your ability to meet implementation deadlines, quickly identify and resolve problems, perform updates and maintenance, accommodate new application requirements and adopt strategic new technologies will be jeopardized. Download the new white paper from Bright Computing that explores key strategies for HPC clusters.

How Financial Services Can Fuel Innovation with GPU Computing

The financial services and insurance sector is one of the most data-intensive industries in modern business. Unfortunately, that abundance of information has hindered the extraction of business value from data. However, improvements in technology can take data-related challenges that had, until recently, been considered impossible to overcome. Download the new white paper from Penguin Computing that highlights how financial services and insurance firms can benefit from GPU computing and spur innovation and future technological developments. 

How Oil and Gas Firms Can Create Competitive Advantage with GPU-Accelerated Computing

Previously, oil and gas firms relied on costly, central processing unit (CPU) intensive infrastructure to manage data usage and analysis speed. GPUs for oil and gas firms have given rise to a new set of opportunities. Download the new report from Penguin Computing outlines how the adoption of GPU-accelerated computing can offer oil and gas firms significant return on investment (ROI) today and pave the way to gain additional advantage from future technical developments.

The ROI of GPU-Accelerated Computing

Previously, many organizations trying to analyze big data relied on costly, central processing unit (CPU) intensive infrastructure. With graphics processing unit (GPU)-accelerated computing, though, the information technology (IT) industry has a new, more effective, more efficient alternative. Download the new white paper from Penguin Computing that explores how adoption of GPU-accelerated computing can offer a significant return on investment (ROI) today and pave the way to gain additional advantage from future technical developments.

Lenovo Enables Solutions for the ‘New HPC’

The new HPC, inclusive of analytics and AI, and with its wide range of technology components and choices, presents significant challenges to a commercial enterprise. Ultimately, the new HPC brings about opportunities that are worth the challenges. This whitepaper from Lenovo outlines new markets, workloads and technologies in HPC, as well as how its own products and tech are addressing the solution needs of the “new HPC.”