HPC White Papers

High-performance computing (HPC) has fundamentally changed the world of scientific research. Complex challenges that previously were unapproachable due to compute performance limitations and the massive power demands of legacy platforms can now be effectively addressed via powerful new advances in HPC. The U.S. Department of Energy (DOE) is at the forefront of HPC, pushing its […] Read More »

Artificial intelligence (AI), one of the most transformative innovations in enterprise IT, will continue to dominate the technology landscape for the foreseeable future. Organizations across industries are leveraging AI to differentiate their offerings and secure their competitive advantage. However, maximizing AI’s potential requires AI-optimized hardware and software as well as the specialized knowledge needed to […] Read More »

From Legacy to Leading Edge: How Mainframe Data Can Transform AI and Analytics explores how enterprise data leaders can unlock untapped value by integrating mainframe data into modern AI and analytics ecosystems. Despite powering critical operations, mainframe data remains largely siloed. This whitepaper outlines strategic insights, common roadblocks, and a practical roadmap to help data leaders […] Read More »

The goal of this book is to help enterprises understand what makes LLMs so groundbreaking compared to previous solutions and how they can benefit from adopting or developing them. It also aims to help enterprises get a head start by outlining the most crucial steps to LLM development, training, and deployment. To achieve these goals, […] Read More »

As federal agencies prioritize efficient, secure and scalable solutions, a streamlined IT infrastructure is more crucial than ever. CTG Federal, a Cohesive Technology Group company; Dell Technologies; and Carahsoft have joined forces to offer transformative solutions to address these pressing challenges in government IT.  Together, we combine our specialized expertise and advanced technology to deliver […] Read More »

When building large-scale AI GPU clusters for training or inference, the backend network should be high-performance, lossless, and predictable to ensure maximum GPU utilization. This is hard to achieve when using Ethernet for the back-end network. This guide showcases a high-level reference design for an 8,192 GPU cluster, describing how it can be achieved with […] Read More »