Dell publishes reference designs for 3D software development in the Metaverse

Dell Technologies Inc. today announced two new validated designs for use by organizations building software for the three-dimensional virtual environments that characterize the Metaverse.

The Metaverse is a network of 3D virtual worlds that encompasses technologies such as virtual and augmented reality, blockchain, artificial intelligence, digital twins, and smart objects. Markets such as real estate and architecture already integrate these concepts. Many people believe that the metaverse will eventually become a standard environment where people from all over the world will collaborate in a single virtual space.

Reference designs include hardware and software specifications validated by Dell, best practices and deployment guides, test settings, and deployment templates. They are widely used by system integrators and enterprise customers when assembling purpose-built technology packages.

“These immersive experiences drive an increased need for real-time computing on massive workloads that combine visual data, AI, and machine learning,” wrote Jonathan Siegal, senior vice president of the Solutions Group. infrastructure from Dell, in a blog post to be published today. “This will accelerate the decentralization of computing from large-scale data centers to…edge infrastructure.

Dell’s Validated Design for VDI with Nvidia Omniverse was developed in cooperation with graphics processing giant Nvidia Corp. and Intel Corp. and provides a foundation for the next generation of virtual desktop infrastructures. It allows designers and reviewers to work together in real time in shared virtual 3D worlds. The specification includes VMware Inc.’s vSphere and Horizon, Nvidia’s RTX vWS virtual workstation and Omniverse Enterprise 3D design software, Nvidia-certified Dell VxRail 670F hyperconverged infrastructure and PowerEdge R750 servers, and Dell networking. PowerSwitch and Dell PowerScale F800 storage.

“Using Nvidia’s Omniverse helps companies collaborate faster, whether in engineering, architecture, or entertainment, where workflows have been quite linear,” Siegal said in an interview. From Dell’s perspective, he added, “a lot of things are going to move things to the edge, and that’s going to take a tremendous amount of computation.”

New Design Validated by Dell for AI | MLOps with is said to standardize and streamline machine learning operations so data scientists can get models into production faster. It is built with machine learning operating system from, which is the trading name of Accessible Labs Ltd.

The spec includes Nvidia’s cloud-native AI Enterprise suite of AI and data analytics software from Nvidia, VMware’s vSphere with Tanzu, Nvidia-certified Dell VxRail HCI or PowerEdge servers with Nvidia A100 and A30 tensor core GPUs, storage Dell PowerScale and PowerSwitch Network Switching with Nvidia Networking Software. A Validated Design-compliant cloud service is also made available as a service as part of Dell’s as-a-service portfolio.

Dell cited a recent survey by LatentStructure Technologies LLC which found that nearly 90% of machine learning models never go live, primarily due to a lack of disciplined lifecycle management. He also cited a report from that data scientists spend about 50% of their time allocating and managing computing resources instead of working on machine learning models.

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Gordon K. Morehouse