At the same time VMware lost its spark, AI emerged as the next big tech wave. Leading this charge was NVIDIA, a company originally known for gaming GPUs but now dominating AI and data center computing. NVIDIA quickly stepped into the gap left by VMware, capturing the excitement of IT professionals and hobbyists alike.

As AI accelerates computing demands, traditional air cooling can no longer meet thermal requirements efficiently. Direct-to-chip liquid cooling offers a revolutionary solution by removing heat directly from chips through a sophisticated cooling process.

When trying to run Python code from VS Code's terminal, I encountered this error: The term 'python' is not recognized as the name of a cmdlet, function, script file, or operable program.

Intel Gaudi AI accelerators are entering the enterprise AI computing space at a remarkable time of transformation. In a market dominated by established players, Intel is making significant strides with their purpose-built AI accelerators. Having researched and worked with various AI acceleration technologies, I've been watching Gaudi's evolution firsthand (working for Supermicro), and with particular interest.

In today's digital landscape, data storage is more crucial than ever, especially with the rise of AI workloads, Generative AI (GenAI), and Large Language Models (LLMs). Whether you're an individual managing personal files, a business handling vast amounts of information, or an organization developing AI solutions, understanding different storage types can help you make informed decisions. 

GPU-accelerated servers have revolutionized high-performance computing (HPC) and artificial intelligence/machine learning (AI/ML) applications. While various manufacturers offer GPU server configurations, two primary setups dominate the landscape: Single Root and Dual Root.