Insight Enterprises Research and Innovation Hub Equipped With Nvidia GPU-Accelerated Converged Systems

Insight Enterprises announced that its Research and Innovation Hub includes one first labs equipped with Nvidia Corp.‘s GPU-accelerated converged systems from multiple vendors for testing and validating AI, HPC, and other deep-learning projects.

The in-house lab offers the latest generation of AI-ready platforms utilizing Nvidia Corp., Cisco Systems, Inc., Dell EMC, part of Dell Technologies, HPE (Hewlett Packard Enterprise Development LP), Pure Storage, Inc. and NetApp, Inc.‘s architectures.

Organizations can use the company’s Hub to test machine-learning models with their own data sets, evaluate the ability of specific Nvidia GPU configurations and infrastructures to support their workloads, and determine the optimal technology stack to meet their needs. The testing process also can assist IT teams in determining whether to select an on-premises or cloud-based solution for data-intensive GPU computing.

Early interest in using the Hub’s capabilities for workload and platform validation has been good, with inquiries coming from organizations ranging from military contractors to those in the manufacturing, automotive, financial services, biomedical, transportation, geo-spatial, agricultural, and media and entertainment sectors. IT teams have the option to access the lab services remotely or on-site at Insight’s Cloud+Data Center Transformation Hub in Minneapolis, MN.

Nvidia DGX-2

Lab assets include the Nvidia DGX-2, an AI system; Nvidia-powered Cisco, HPE, Pure AIRI, NetApp ONTAP AI and Dell EMC Isilon Ready compute platforms, converged infrastructure systems and reference architectures; and other building blocks for testing, designing and deploying complete deep-learning technology stacks. The company’s status as an Nvidia Advanced Technology Partner certifies its ability to assist clients in implementing AI, HPC and other GPU-accelerated initiatives.

“Every deep-learning provider is architecting its solution differently, whether with a complete stack like HPE and Dell or with compute, storage and networking components from multiple vendors. Our lab gives clients a vendor-agnostic choice enabling them to select the best-fit platform for their requirements,” said Shawn O’Grady, SVP and GM, cloud+data center transformation, Insight North America. “We believe we are leading the market by making this kind of investment to help enterprises advance their deep-learning initiatives.”

The lab leverages the company’s combination of ‘Cloud+Data Center Transformation and Digital Innovation’ expertise as well as its unusually deep bench of technology specialists. That includes more than 200 dedicated data scientists, data infrastructure consultants, architects, and big data and AI specialists who can assist in AI and HPC initiatives; 800 compute, storage, networking and data protection experts who can define and deploy infrastructure that supports GPU-accelerated installations; and 700 application-development architects and consultants available to assist clients with their overall digital transformation efforts.

“Insight has allocated significant resources to help clients select the best NVIDIA GPU-accelerated solutions for their machine-learning needs,” said Craig Weinstein, VP, Americas partner organization, Nvidia. “With these resources, organizations have an opportunity to streamline the design and deployment of AI infrastructure, enabling faster time-to-insights while ensuring the optimal balance of compute, storage and networking in support of their AI and deep-learning initiatives.”