Accelerating the Modern Data Center – Gear Up for AI

Modern applications are transforming every business. From AI for better customer engagement, to data analytics for forecasting, to advanced visualization for product innovation, the need for accelerated computing is rapidly increasing. But enterprises face challenges with using existing infrastructure to power these applications.

Accelerate Artificial Intelligence Initiatives with DDN and NVIDIA at Any Scale

In this whitepaper, DDN and NVIDIA invited ESG to interview several of their joint customers that have been running production AI environments to better understand their needs and to confirm the value that DDN and NVIDIA are providing. ESG research sheds light on the rapid rise of AI initiatives among businesses, including how businesses are leveraging AI to create value. Business have been rapidly investing in AI and ML projects because they work.

Brytlyt’s Accelerated Analytics – powered by GPU

This whitepaper discusses the analytics challenges businesses are facing today, and how the Brytlyt platform can transform how people uncover insight from their data.

Webinar: Transform Your Data Center with Our IPU-POD Scale-out Technology

Don’t miss Graphcore’s upcoming webinar “Transform Your Data Center with Our IPU-POD Scale-out Technology” on January 27, 2021 at 16:00 GMT, 8:00 PT, 11:00 ET. IPU-POD is Graphcore’s unique scale-out solution for high-performance machine intelligence compute, ideal for experimentation to prototype to production systems from IPU-M2000 with 4 IPUs up to supercomputing scale.

Modern HPC and Big Data Design Strategies for Data Centers – Part 3

This insideHPC Special Research Report, “Modern HPC and Big Data Design Strategies for Data Centers,” provides an overview of what to consider when selecting an infrastructure capable of meeting the new workload processing needs. Tyan has a wide range of bare bones server and storage hardware solutions available for organizations and enterprise customers.

The Graphcore Second Generation IPU

Our friends over at Graphcore, the U.K.-based startup that launched the Intelligence Processing Unit (IPU) for AI acceleration in 2018, has released a new whitepaper introducing the IPU-Machine. This second-generation platform has greater processing power, more memory and built-in scalability for handling extremely large parallel processing workloads. This paper will explores the new platform and assess its strengths and weaknesses compared to the growing cadre of potential competitors.

Modern HPC and Big Data Design Strategies for Data Centers – Part 2

This insideHPC Special Research Report, “Modern HPC and Big Data Design Strategies for Data Centers,” provides an overview of what to consider when selecting an infrastructure capable of meeting the new workload processing needs. Tyan has a wide range of bare bones server and storage hardware solutions available for organizations and enterprise customers.

Modern HPC and Big Data Design Strategies for Data Centers

This insideHPC Special Research Report, “Modern HPC and Big Data Design Strategies for Data Centers,” provides an overview of what to consider when selecting an infrastructure capable of meeting the new workload processing needs. Tyan has a wide range of bare bones server and storage hardware solutions  available for organizations and enterprise customers.

Modern HPC and Big Data Design Strategies for Data Centers

This insideHPC Special Research Report provides an overview of what to consider when selecting an infrastructure capable of meeting the new workload processing needs. Tyan has a wide range of bare bones server and storage hardware solutions  available for organizations and enterprise customers.

Unleash the Future of Innovation with HPC & AI

This whitepaper reviews how cutting-edge solutions from Supermicro and NVIDIA are enabling customers to transform and capitalize on HPC and AI innovation. Data is the driving force for success in the global marketplace. Data volumes are erupting in size and complexity as organizations work to collect, analyze, and derive intelligence from a growing number of sources and devices. These workloads are critical to powering applications that translate insight into business value.