Cloud, sustainability, scale, and exponential data growth\u2014these major factors that set the tone for high performance computing (HPC) in 2022 will also be key in driving innovation for 2023. As more organizations rely on HPC to speed time to results, especially for their data-intensive applications, the $40B market faces challenges and opportunities. Fortunately, the HPC community is both collaborative and transparent in our work to apply and advance supercomputing technologies. \n\nRecently members of our community came together for a roundtable discussion, hosted by Dell Technologies, about trends, trials, and all the excitement around what\u2019s next. \n\nAnswers to Supercomputing Challenges\n\nWe identified the following challenges and here provide leading thoughts on each concern.\n\nSustainability: As the HPC market grows, so do the implications of running such energy-intensive and complex infrastructure. In an effort to achieve sustainability, industry leaders are prioritizing ways to reduce CO2 impact and even decarbonize HPC\u2014not an easy task with total power usage increasing. What\u2019s motivating our move to energy reduction:\n\nThough HPC customers want to measure their own energy usage, the tools to do so may not yet offer sufficient metrics at the application scale. Alternatively, some in the European Union are shifting their priority from trying to run operations faster, to trying to run them with lower power consumption. This calls for experimenting with more efficient choices like running workloads with different chips. \n\nCooling: Over the next few years, we will see an increase in the use of silicon processors and accelerators which require significantly more power\u2014and thus generate more heat. As leaders in the HPC industry, we are worried about how to cool these data centers. \n\nMany are looking at innovative data center designs including modular centers and colocation. Another big focus is on liquid cooling. Direct liquid cooling offers superior thermal management and five times the cooling capacity of air flow. Immersion cooling leverages oil-based engineered fluids for a high performance, complex cooling solution. Deployed successfully around the globe, liquid cooling is becoming essential to future proofing data centers.\n\nScaling out and developing large-scale systems: To meet demand, the HPC industry is developing and honing strategies to effectively scale and deploy large systems that are both efficient and reliable. It\u2019s a tall order, and one that will hinge on a few factors:\n\nWhat\u2019s New and Growing Among HPC Users? \n\nIn the HPC industry, we are experiencing and driving massive shifts in terms of what we do, and how and where we do it. Here are the shifts we noted:\n\nDelivery Models: Moving from an almost strictly on-premises systems approach (with some remote access services), HPC is embracing remote delivery models. Customer interest in HPC delivery models like colocation, managed services, and cloud computing is driven by tremendous growth in service-based models (including IaaS\/PaaS\/SaaS) along with on-demand and subscription payment models. Of course, data center challenges are also driving demand for these alternatives. New solutions, including Dell APEX HPC Services and HPC on Demand, address these customer requirements and wants.\n\nWorkflow Optimization from Edge to Core\/Cloud and Back: Integration with edge devices as well as integration with different HPC systems is currently designed in-house or otherwise customized. Moving forward, we will see workflows that are more capable and widely adopted to facilitate edge-core-cloud needs like generating meshes, performing 3D simulations, performing post-simulation data analysis, and feeding data into machine learning models\u2014which support, guide, and in some case replace the need for simulation.\n\nAdvances in Artificial Intelligence and Machine Learning (AI\/ML): AI\/ML will continue growing as an important workload in HPC. Due to the rapid growth in data sizes, there\u2019s an increased need for HPC solutions that can run large training models. At the same time, these models can complement simulation, guiding targets or reducing parameter space for some problems. In the HPC community, we recognize a need for tools to support machine learning operations and data science management; these tools must be able to scale and integrate with HPC software, compute and storage environments.\n\nData Processing Units: We anticipate a jump in DPU usage but must support customers in figuring out which use cases offer quantifiable advantages in price\/performance and performance\/watt. It\u2019s important to note that more research and benchmark comparisons are needed to help customers make the best decisions. Some examples of when DPUs can be advantageous for HPC workloads include: \n\nComposable Infrastructure: We note the benefits in resource utilization offered by composable infrastructure, but still see uncertainty about whether it\u2019s the future or a niche. As with DPUs, more research and quantifiable comparisons are needed to support customers in determining whether composable infrastructure is right for their next system. Yes, specific AI workflows require special hardware configurations. Though composable infrastructure may remove the restrictions of traditional architectures, there\u2019s debate about whether it can scale and whether the ROI would be reached by increased flexibility and utilization.\n\nQuantum computing:\u00a0\n\nAs an HPC community, we share a growing consensus that quantum computing systems (QC) will and must be integrated with \u2018classical\u2019 HPC systems. QC systems are superior only at certain types of calculations and thus may best serve as accelerators. At Dell Technologies we have developed a hybrid classical\/quantum platform that leverages Dell PowerEdge servers with Qiskit Dell Runtime, and IonQ Aria quantum processing units. With the platform, classical and quantum simulation workloads can execute on\u2010premises, while quantum workloads, such as modeling larger and more complex molecules for pharmacological development, can be executed with IonQ QPUs.\n\nThe HPC Outlook for 2023\n\nThe impressively large HPC market continues to grow at a healthy rate, fueled by commercial demand for data processing and AI\/ML training. HPC workloads and delivery models are more diverse than ever, leading to a more diverse customer community. And in HPC, community is important. Though we face some of the greatest challenges in application, system and data center scaling, HPC technologies remain at the leading edge of computing. \n\nAs a community, we keep sharing information and we stay on top of developments to realize the maximum benefits of HPC. A robust resource for sharing, learning and networking can be found with the Dell HPC Community, found at dellhpc.org. This global community of HPC customers, users and companies comes together for weekly online events that are open to all as well as in-person meetings scheduled three times a year. \n\nEngage with the Dell HPC community by visiting dellhpc.org.\n\n https:\/\/www.hpcwire.com\/2022\/05\/30\/hyperion-hpc-market-is-stabilizing-and-headed-to-50b-by-2026\/\n\n https:\/\/www.dell.com\/en-us\/dt\/servers\/power-and-cooling.htm#tab0=0\n\n https:\/\/sc22.supercomputing.org\/presentation\/?id=pan117&sess=sess183\n\n\u00a0https:\/\/www.delltechnologies.com\/asset\/en-us\/products\/ready-solutions\/briefs-summaries\/hybrid-quantum-solution-brief.pdf.external\n\n***\n\nIntel\u00ae Technologies Move Analytics Forward\n\nData analytics is the key to unlocking the most value you can extract from data across your organization. To create a productive, cost-effective analytics strategy that gets results, you need high performance hardware that\u2019s optimized to work with the software you use.\n\nModern data analytics spans a range of technologies, from dedicated analytics platforms and databases to deep learning and artificial intelligence (AI). Just starting out with analytics? Ready to evolve your analytics strategy or improve your data quality? There\u2019s always room to grow, and Intel is ready to help. With a deep ecosystem of analytics technologies and partners, Intel accelerates the efforts of data scientists, analysts, and developers in every industry. Find out more about Intel advanced analytics.