AI & Generative AI Hub
Access our curated collection of resources geared to inform you with the latest AI trends and best practices.
Immersion Cooling Unlocks AI's Potential, Driving Energy Efficiency and Scalability
Private AI Infrastructure in the Enterprise
Shell Powers High-Performance, Sustainable Data Centers With Immersion Cooling
Penguin Solutions and NVIDIA Partner to Build the Georgia Tech AI Makerspace
Shell Powers High-Performance, Sustainable Data Centers With Immersion Cooling
Shell’s Houston data center was already designed for energy efficiency, drawing from 100% renewable power supplied by Shell Energy North America, supporting its high-priority agenda of sustainability. The challenge for Shell’s HPC team continued to be how to drive down its Power Usage Effectiveness (PUE) ratio while simultaneously boosting performance.
Shell Powers High-Performance, Sustainable Data Centers With Immersion Cooling
Shell’s Houston data center was already designed for energy efficiency, drawing from 100% renewable power supplied by Shell Energy North America, supporting its high-priority agenda of sustainability. The challenge for Shell’s HPC team continued to be how to drive down its Power Usage Effectiveness (PUE) ratio while simultaneously boosting performance.
Penguin Solutions and NVIDIA Partner to Build the Georgia Tech AI Makerspace
Initially focusing on undergraduate students, the AI Makerspace aims to democratize access to computing resources typically reserved for researchers or technology companies. Students will access the cluster online as part of their coursework, deepening their AI skills through hands-on experience. The Makerspace will also better position students after graduation as they work with AI professionals and help shape the technology’s future applications.
Penguin Solutions and NVIDIA Partner to Build the Georgia Tech AI Makerspace
Initially focusing on undergraduate students, the AI Makerspace aims to democratize access to computing resources typically reserved for researchers or technology companies. Students will access the cluster online as part of their coursework, deepening their AI skills through hands-on experience. The Makerspace will also better position students after graduation as they work with AI professionals and help shape the technology’s future applications.
AI Factories and Creative GPU Utilization for AI
Learn how HPC went from the domain of academic computer centers and government labs and changed enterprise computing systems. AI’s adoption needs new infrastructure. The problem is that businesses are spending hundreds of millions of dollars on GPU-based systems, and they’re only getting low (25% in some cases) performance and availability.
Getting Started on Your Next AI and HPC Project
This whitepaper explains how to support new HPC and AI initiatives in organizations of all sizes across all industries. These initiatives are complex and require a mix of processor types, workload accelerators, and high-performance storage and interconnect technology not commonly found in enterprise IT.
How CIOs Can Prepare Their IT Organizations and Enterprises for Generative AI
Powerful new digital technologies often pose a "best of times, worst of times" conundrum for CIOs, and generative AI fits that pattern. Generative AI offers myriad opportunities to businesses, from highly personalized marketing to knowledge management to automating conversational applications for customer service and even software development.
Private AI Infrastructure in the Enterprise
Private AI uses enterprise datacenter infrastructure and AI framework capabilities to enable enterprise-specific AI/ML workflows. Whether data center assets are hosted in interconnection providers or in enterprise-owned facilities, private AI offers numerous advantages, including enhanced data privacy, tailored solutions, compliance with regulatory standards, and, most importantly, control over AI initiatives.
Immersion Cooling Unlocks AI's Potential, Driving Energy Efficiency and Scalability
IDC predicts worldwide data center energy consumption will increase from just over 374TWh in 2023 to almost 814TWh in 2027. AI is a major contributor to this rising demand, given the higher power usage of GPUs and the higher utilization of training and tuning models. IDC expects AI datacenter energy consumption to rise to 18% by 2027.