CIOs and IT leaders call it the\u00a0most disruptive technology\u00a0yet, and now it\u2019s moving rapidly into the mainstream.\u00a0Artificial intelligence (AI), an increasingly crucial piece of the technology landscape, has arrived.\u00a0More than\u00a091 percent\u00a0of businesses surveyed have ongoing -- and increasing -- investments in artificial intelligence.\n\nDeploying AI workloads at speed and scale, however, requires software and hardware working in tandem across data centers and edge locations.\u00a0Foundational IT infrastructure, such as GPU- and CPU-based processors, must provide big capacity and performance leaps to efficiently run AI. Without higher performance levels, AI workloads could take months and years to run. With it, organizations can accelerate AI advancements.\u00a0\n\nDell Technologies\u2019 recent developments in hardware and software solutions mirror AI software capabilities to do just that\u2014advance AI.\u00a0More specifically, next-gen offerings from Dell Technologies provide 8-10x performance improvements according to\u00a0MLCommons \u00aeMLPerf\u2122 benchmarks. The upgraded Dell Technologies solution portfolio includes a range of GPU-optimized servers for AI training and CPU-powered servers for enterprise-wide AI inferencing, both of which are essential, co-existing elements of AI deployment.\n\nMLCommons MLPerf Results\n\nFor benchmarking, the MLCommons updated version 3.0, MLPerf Inference was used; the latest results are shown\u00a0here.\u00a0Benchmarks include categories such as image classification, object detection, natural language processing, speech recognition, recommender systems and medical image segmentation.\n\nWhile the inference benchmark rules did not change significantly, Dell Technologies expanded its submission with the new generation of Dell PowerEdge servers, including new PowerEdge XE9680, XR7620, and XR5610 servers and new accelerators from its partners. Submissions were made with VMware running on NVIDIA AI Enterprise software and NVIDIA accelerators as well as Intel-based CPU-only results.\n\nThe results for Dell Technologies' next-gen processors are extraordinary for the highly demanding use cases of AI training, generative AI model training and tuning and AI inferencing. Compared to previous generations of hardware, the results show a significant uptick in performance:\n\nMore detailed results can be seen\u00a0here.\u00a0\n\nAI in Action\n\nAI data center and edge deployments mandate a highly interdependent ecosystem of up-level software and hardware capabilities, including a mix of GPU- and CPU-based processors.\u00a0Each industry and organization can tailor infrastructure based on unique needs, preferences and requirements.\n\nConsider, for example, a pharmaceutical company using AI modeling and simulation for drug discovery.\u00a0Modern developments\u00a0are based on a chemist finding highly active molecules that also test negative for neurotoxicity. There are trillions of compounds to consider and evaluate.\u00a0Each search takes almost two months and thousands of dollars, limiting the number of searches and tests that can be conducted. Using AI, simulations can examine many more molecules much faster and cheaper, opening a new world of possibilities.\u00a0To accelerate drug discovery (there are thousands of diseases and only hundreds of cures), pharmaceutical companies need powerful processors to handle large and diverse data sets efficiently and effectively.\n\nRetailers typically use AI differently than pharmaceutical companies. Retail use cases often revolve around video imagery used to enhance security, bolster intrusion detection and support self-check-out capabilities. To boost newfound capabilities in these areas, retailers need more powerful GPU-optimized processors to handle image-based data streams.\n\nAdvancing AI\n\nEmerging generative AI use cases, such as digital assistants and co-pilots for software development, are appearing as the next frontier of AI. That\u2019s why at Dell Technologies, innovation never rests. \n\nWhen it comes to technology infrastructure, Dell Technologies and its partners are constantly innovating to reach new performance levels and help redefine what is possible.\u00a0The exponential performance increase in NVIDIA GPU-optimized servers and the infusion of AI Inferencing in Intel\u2019s\u00ae\u00a0Xeon\u00ae-based servers are creating the required AI foundation.\u00a0With these results, Dell Technologies can help organizations fuel AI transformations precisely and efficiently, including new AI training and inferencing software, generative AI models, AI DevOps tools and AI applications.\n\n***\n\nDell Technologies. To help organizations move forward, Dell Technologies is powering the AI journey, including enterprise generative AI. With best-in-class IT infrastructure and solutions to run AI workloads and advisory and support services that roadmap AI initiatives, Dell is enabling organizations to boost their digital transformation and accelerate intelligent outcomes. \n\nIntel. The compute required for AI models has put a spotlight on performance, cost and energy efficiency as top concerns for enterprises today. Intel\u2019s commitment to the democratization of AI and sustainability will enable broader access to the benefits of AI technology, including generative AI, via an open ecosystem. Intel\u2019s AI hardware accelerators, including new built-in accelerators, provide performance and performance per watt gains to address the escalating performance, price and sustainability needs of AI.