Dell Technologies Omnia GA
June 28, 2021
Technologies introduced new solutions to help customers better manage the
convergence of high performance computing (HPC), artificial intelligence (AI)
and data analytics. To help organizations tackle data-intensive workloads such
as genome sequencing to product development simulations, Dell is also expanding
HPC on demand services and Dell EMC PowerEdge server accelerator support.
"As AI with HPC and data analytics converge, storage and networking
configurations have remained in siloes, making it challenging for IT teams to
provide required resources for shifting demands," said Peter Manca, senior vice
president of Integrated Solutions at Dell Technologies. "With Dell's Omnia open
source software, teams can dramatically simplify the management of advanced
computing workloads, helping them speed research and innovation."
Simplifying and accelerating the convergence of workloads with Omnia
Omnia was developed at the Dell Technologies HPC & AI Innovation Lab, in
collaboration with Intel and with support from the HPC community. The
open-source software is designed to automate the provisioning and management of
HPC, AI and data analytics workloads to create a single pool of flexible
resources to meet growing and diverse demands.
The Omnia software stack is an open source set of Ansible playbooks that speed
the deployment of converged workloads with Kubernetes and Slurm, along with
library frameworks, services and applications. Omnia automatically imprints a
software solution onto each server based on the 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.
Community involvement and contribution are important for Omnia's advancement.
Arizona State University Research Computing has worked closely with the Dell
Technologies HPC & AI Innovation Lab on Omnia development to better support
mixed workloads including simulation, high throughput computing and machine
"Engineers from ASU and Dell Technologies worked together on Omnia's creation,"
said Douglas Jennewein, senior director of research computing, Arizona State
University. "It's been a rewarding effort working on code that will simplify the
deployment and management of these complex mixed workloads, at ASU and for the
entire advanced computing industry."
HPC on demand with VMware offers anytime infrastructure access
Dell Technologies is expanding its HPC on demand offering to now support VMware
environments. With HPC on demand and R Systems, customers can use advanced
infrastructure to meet their peak computing needs when they need it. With the
addition of VMware Cloud Foundation, VMware Cloud Director and VMware vRealize
Operations, customers can 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.
got a base level of computational availability on hand that we own, and, now
with HPC on demand, we're able to run simulations and workloads that just
wouldn't be possible on our existing infrastructure," said Arden Anderson,
engineer simulation specialist, Mercury Maritime. "With Dell Technologies and R
Systems, we're able to handle more complex workloads and simulations in far less
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. With NVIDIA
A10 GPUs, customers can support mixed AI and graphics workloads on a common
infrastructure, ideal for deep learning inference and computer-aided design.
NVIDIA virtual GPU software, virtual desktops used by designers, engineers,
artists and scientists automatically run at peak performance.
Omnia software is globally available today.
HPC on demand with VMware will be available this quarter.