AI Ready Data Centers with Zero Trust Security is Available

Things engineers should know about NVIDIA and Dell’s new data center solution.

Last month, NVIDIA and Dell Technologies released a data center solution specifically tailored to AI use cases. Specifically, this hardware can perform AI training, AI inference, data processing, data science and zero-trust security operations by combining Dell PowerEdge servers, NVIDIA BlueField DPU, software and GPU. To access these technologies together, the hands-on lab program NVIDIA LaunchPad is available.

NVIDIA and Dell Technologies’ new data center solution is specifically tailored to AI use cases. (Image courtesy of NVIDIA.)

NVIDIA and Dell Technologies’ new data center solution is specifically tailored to AI use cases. (Image courtesy of NVIDIA.)

“Dell and NVIDIA’s long tradition of collaborating on next-generation GPU-accelerated data centers has already enabled massive breakthroughs,” said Travis Vigil, senior vice president, portfolio and product management, Infrastructure Solutions Group, Dell Technologies. “Now, through a solution that brings NVIDIA’s powerful BlueField DPUs along with NVIDIA GPUs to our PowerEdge server platform, our continued collaboration will offer customers performance and security capabilities to help organizations solve some of the world’s greatest challenges.”

The whole system is optimized using the recently announced VMware vSphere 8 enterprise workload platform. The idea is to offload the work to the DPU, to ensure performance and meet latency needs. This way, customers can prioritize networking and security while saving CPU computations. As a whole, performance and efficiency are increased, operations are simplified and security is improved in data center, edge, cloud, multicloud and hybrid environments.

The Dell PowerEdge servers can also run the NVIDIA and VMware AI-ready enterprise platform, which contains a cloud-native suite of AI and data analytics software.

Why Engineers Should Pay Attention

As AI becomes an ever-present tool in the development of new products, engineers need access to HPC resources both on-premise and in the cloud that can tackle the challenge. With these AI tools, engineers can better optimize, monitor, predict issues with and develop solutions for their products.

“AI and zero-trust security are powerful forces driving the world’s enterprises to rearchitect their data centers as computing and networking workloads are skyrocketing,” said Manuvir Das, head of Enterprise Computing at NVIDIA.

The fact that this solution is ready to use with a suite of AI and data analytics software provided by the experts at NVIDIA and VMware, engineers using this system can experience a jumpstart in their applications of these use cases.

Written by

Shawn Wasserman

For over 10 years, Shawn Wasserman has informed, inspired and engaged the engineering community through online content. As a senior writer at WTWH media, he produces branded content to help engineers streamline their operations via new tools, technologies and software. While a senior editor at Engineering.com, Shawn wrote stories about CAE, simulation, PLM, CAD, IoT, AI and more. During his time as the blog manager at Ansys, Shawn produced content featuring stories, tips, tricks and interesting use cases for CAE technologies. Shawn holds a master’s degree in Bioengineering from the University of Guelph and an undergraduate degree in Chemical Engineering from the University of Waterloo.