• Performance-optimized for highly scalable simulation and visualization applications
• Features open source technology, delivering vivid visualizations of complex, enormous datasets
• Produce high-fidelity images that help gain deeper, faster insights in science and industry
  
• Photo credit: The University of Texas at Austin with research data used courtesy of the Bureau of Economic Geology at The University of Texas at Austin and the Moroccan National Office of Hydrocarbon and Mining
  

• Optimized for common HPC applications to help accelerate product design with greater levels of customization and optimization
• Performance-optimized for highly scalable simulation and modeling applications that use MPI libraries
• Improves delivery and uptime through simplified deployment and advanced diagnostics tools
• Compatible with the Intel® Scalable System Framework Application Catalog

• Ease deployment and speed time to genomic pipelines for life sciences research and healthcare insights 
• Optimized high performance computing (HPC) cluster that can support multiple genomics pipelines as well as other HPC workloads 
• WDL (Workflow Definition Language) scripts to allow users to quickly and easily replicate Genome Analysis Toolkit* best practices pipelines and create their own pipelines

Core capabilities delivered by a solution that runs AI workloads within an HPC environment.

Enable HPC batch schedulers to run all workloads—including simulation and modeling, big data analytics, and AI—on a common HPC infrastructure.