Dell Technologies Drives Convergence of High Performance Computing, AI and Data Analytics with Omnia Open Source Software

Dell technologies is announcing new solutions to help customers manage the convergence of high performing computing (HPC), artificial intelligence (AI), and data analytics. Dell is also increasing HPC on demand services and Dell EMC PowerEdge server accelerator to help enterprises tackle data-intensive workloads like genome sequencing to product development simulations.

Simplifying and accelerating the convergence of workloads with Omnia

Omnia was developed at the Dell Technologies (HPC) and AI Innovation Lab, in collaboration with Intel and with support from the HPC community. The open-source software is planned to automate the provisioning and management of HPC, AI, and data analytics workloads to create a single source of flexible resources to meet the diverse and expanding demands.

The Omnia software stack is an open source set of Ansible playbooks that quicken the deployment of converged workloads with Kubernetes and Slurm, along with library frameworks, services and applications. Omnia imprints software a software solution onto every server on the basis of its use case- for example, HPC simulations, neural networks for AI, or in–memory graphics processing for data analytics — to reduce deployment time from weeks to minutes.

Omnia’s advancement are the result of community involvement and contribution. Dell Technologies HPC & AI Innovation Lab and Arizona State University Research Computing have worked closely to develop Omnia and better its support mixed workloads including simulation, high throughput computing and machine learning.

HPC on demand with VMware offers anytime infrastructure access

Dell Technologies and its HPC on demand is growing with support to VMware environments. HPC on demand and R Systems will enable customers to use advanced infrastructure to meet their peak computing needs. The addition of VMware Cloud Foundation, VMware Cloud Director, and VMware vRealize Operations will allow customers to use a hybrid cloud operating model for resource-intensive workloads and quickly access HPC resources and pay for what they need, when they need it. 

For example, Mercury Marine, a leader in marine propulsion systems, uses computer-aided hydrodynamic simulations for new designs that often require HPC power surpassing their in-house capabilities. With access to Dell's high performance infrastructure, Mercury Marine's engineers can cut simulation time from 48 hours in-house to only two hours with HPC on demand.

New NVIDIA GPU options for advanced computing
Dell Technologies now offers NVIDIA A30 and A10 Tensor Core GPUs as options for Dell EMC PowerEdge R750, R750xa and R7525 servers.

NVIDIA A30 GPUs support a broad range of AI inference and mainstream enterprise compute workloads, such as conversational AI and computer vision. Customers can support mixed AI and graphics workloads on a common infrastructure, ideal for deep learning inference and computer-aided design with NVIDIA A10 GPUs.

NVIDIA virtual GPU software, virtual desktops used by designers, engineers, artists and scientists automatically run at peak performance.

Availability
• Omnia software is globally available today.
• HPC on demand with VMware will be available this quarter.


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