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Nvidia gets industrial software firms to integrate Omniverse to accelerate physical AI

Nvidia said the big industrial software and service providers are integrating Omniverse into their platforms to accelerate industrial digitalization with physical AI. Those integrating Nvidia Omniverse include Ansys, Databricks, Dematic, Omron, SAP, Schneider Electric with ETAP, Siemens and more. Nvidia made the announcement during Jensen Huang’s keynote speech during the Nvidia GTC 2025 event today in San Jose, California. New Nvidia Omniverse Blueprints connected to Nvidia Cosmos world foundation models are now available to enable robot-ready facilities and large-scale synthetic data generation for physical AI development. “Omniverse is an operating system that connects the world’s physical data to the realm of physical AI,” said Rev Lebaredian, vice president of Omniverse simulation technology at Nvidia, in a statement. “With Omniverse, global industrial software, data and professional services leaders are uniting industrial ecosystems and building new applications that will advance the next generation of AI for industries atunprecedented speed.” New Blueprints Enable Robot-Ready Facilities and Large-Scale Synthetic Data Generation Mega, an Omniverse Blueprint for testing multi-robot fleets at scale in industrial digital twins, is now available in preview on build.nvidia.com. Also available is the Nvidia AI Blueprint for video search and summarization, powered by the Nvidia Metropolis platform, for building AI agents that monitor activity across entire facilities. Manufacturing leaders are using the blueprints to optimize their industrial operations with physical AI. In automotive manufacturing, Schaeffler and Accenture are starting to adopt Mega to test and simulate fleets of Agility Robotics Digit for material-handling automation. Hyundai Motor Group is using the blueprint to simulate Boston Dynamics Atlas robots on its assembly lines, and Mercedes-Benz is using it to simulate Apptronik’s Apollo humanoid robots to optimize vehicle assembly operations. In electronics manufacturing, Pegatron is using Mega to develop physical AI-based Nvidia Metropolis video analytics agents to improve factory operations and worker safety. Foxconn is using the blueprint to simulate industrial manipulators, humanoids and mobile robots in its manufacturing facilities for the Nvidia Blackwell platform. “Foxconn is constantly exploring ways to transform our operations as we continue our journey toward building the factories of the future,” said Brand Cheng, CEO of Fii, a core subsidiary of Foxconn, in a statement. “Using NVIDIA Omniverse and Mega, we’re testing and training humanoids to operate in our leading factories as we advance to the next wave of physical AI.” For warehouses and supply chain solutions, KION Group, Dematic and Accenture announced they are integrating Mega to advance next-generation AI-powered automation. Idealworks is integrating Mega into its fleet management software to simulate, test and optimize robotic fleets. SAP customers and partners can use Omniverse to develop their own virtual environments for warehouse managementscenarios. A new Omniverse Blueprint for AI factory digital twins lets data center engineers design and simulate AI factory layouts, cooling and electrical to maximize utilization and efficiency. Cadence Reality Digital Twin Platform and Schneider Electric with ETAP are the first to integrate their simulation software into the blueprint, while Vertiv and Schneider Electric are providing Omniverse SimReady 3D models of theirpower and cooling units to accelerate the development of AI factory digital twins. The Nvidia Isaac GR00T Blueprint for synthetic manipulation motion generation is also now available for robotics developers, enabling large-scale synthetic data generation from Omniverse and Cosmos. The blueprint helps humanoid developers reduce data collection time from hours to minutes, fast-tracking robot development. Omniverse Physical AI Operating System Expands Across Industries Digitalization is challenging for industries grounded in the physical world. Massive amounts of digital and physical world data from legacy systems create silos. Omniverse is an operating system built on the OpenUSD framework that enables developers to unify physical-world data and applications. Ansys, Cadence, Hexagon, Omron, Rockwell Automation and Siemens are integrating Omniverse data interoperability and visualization technologies into their leading industrial software, simulation and automation solutions to accelerate product development and optimize manufacturing processes. For physical AI, Intrinsic, an Alphabet company, is enabling Omniverse workflows and Nvidia robotics foundation models to transition from digital twins to hardware deployments using Flowstate. Databricks is integrating Nvidia Omniverse with the Databricks Data Intelligence Platform, which will enable large-scale synthetic data generation for physical AI. General Motors, America’s largest auto manufacturer, announced its adoption of Omniverse to enhance its factories and train platforms for operations such as material handling, transportation and precision welding. At the other end of the manufacturing life cycle, Unilever announced its adoption of Omniverse and physically accurate digital twins to streamline and optimize marketing content creation for its products. Omniverse in Every Cloud Omniverse AI factory blueprint. To simplify development, deployment and scale-out of OpenUSD-based applications, Nvidia Omniverse is now available as virtual desktop images on EC2 G6e instances with NVIDIA L40S GPUs in AWS Marketplace. The Microsoft Azure Marketplace now features preconfigured Omniverse instances and Omniverse Kit App Streaming on Nvidia A10 GPUs, allowing developers to easily develop andstream their custom Omniverse applications. These cloud-based Nvidia Omniverse developer tools and services are expected to be available later this year on Oracle Cloud Infrastructure compute bare-metal instances with Nvidia L40S GPUs, as well as the newly announced Nvidia RTX Pro 6000 Blackwell Server Edition on Google Cloud. OpenUSD Unifies Robotics Workflows At GTC, NVIDIA introduced the OpenUSD Asset Structure Pipeline for Robotics with Disney Research and Intrinsic. This new structure and data pipeline uses today’s best practices within OpenESt to work toward unifying robotic workflows, providing a common language for all data sources. GTC 2025 runs through Friday March 21.

Nvidia said the big industrial software and service providers are integrating Omniverse into their platforms to accelerate industrial digitalization with physical AI.

Those integrating Nvidia Omniverse include Ansys, Databricks, Dematic, Omron, SAP, Schneider Electric with ETAP, Siemens and more. Nvidia made the announcement during Jensen Huang’s keynote speech during the Nvidia GTC 2025 event today in San Jose, California.

New Nvidia Omniverse Blueprints connected to Nvidia Cosmos world foundation models are now available to enable robot-ready facilities and large-scale synthetic data generation for physical AI development.

“Omniverse is an operating system that connects the world’s physical data to the realm of physical AI,” said Rev Lebaredian, vice president of Omniverse simulation technology at Nvidia, in a statement. “With Omniverse, global industrial software, data and professional services leaders are uniting industrial ecosystems and building new applications that will advance the next generation of AI for industries at
unprecedented speed.”

New Blueprints Enable Robot-Ready Facilities and Large-Scale Synthetic Data Generation

Mega, an Omniverse Blueprint for testing multi-robot fleets at scale in industrial digital twins, is now available in preview on build.nvidia.com. Also available is the Nvidia AI Blueprint for video search and summarization, powered by the Nvidia Metropolis platform, for building AI agents that monitor activity across entire facilities.

Manufacturing leaders are using the blueprints to optimize their industrial operations with physical AI.

In automotive manufacturing, Schaeffler and Accenture are starting to adopt Mega to test and simulate fleets of Agility Robotics Digit for material-handling automation. Hyundai Motor Group is using the blueprint to simulate Boston Dynamics Atlas robots on its assembly lines, and Mercedes-Benz is using it to simulate Apptronik’s Apollo humanoid robots to optimize vehicle assembly operations.

In electronics manufacturing, Pegatron is using Mega to develop physical AI-based Nvidia Metropolis video analytics agents to improve factory operations and worker safety. Foxconn is using the blueprint to simulate industrial manipulators, humanoids and mobile robots in its manufacturing facilities for the Nvidia Blackwell platform.

“Foxconn is constantly exploring ways to transform our operations as we continue our journey toward building the factories of the future,” said Brand Cheng, CEO of Fii, a core subsidiary of Foxconn, in a statement. “Using NVIDIA Omniverse and Mega, we’re testing and training humanoids to operate in our leading factories as we advance to the next wave of physical AI.”

For warehouses and supply chain solutions, KION Group, Dematic and Accenture announced they are integrating Mega to advance next-generation AI-powered automation. Idealworks is integrating Mega into its fleet management software to simulate, test and optimize robotic fleets. SAP customers and partners can use Omniverse to develop their own virtual environments for warehouse management
scenarios.

A new Omniverse Blueprint for AI factory digital twins lets data center engineers design and simulate AI factory layouts, cooling and electrical to maximize utilization and efficiency. Cadence Reality Digital Twin Platform and Schneider Electric with ETAP are the first to integrate their simulation software into the blueprint, while Vertiv and Schneider Electric are providing Omniverse SimReady 3D models of their
power and cooling units to accelerate the development of AI factory digital twins.

The Nvidia Isaac GR00T Blueprint for synthetic manipulation motion generation is also now available for robotics developers, enabling large-scale synthetic data generation from Omniverse and Cosmos. The blueprint helps humanoid developers reduce data collection time from hours to minutes, fast-tracking robot development.

Omniverse Physical AI Operating System Expands Across Industries

Digitalization is challenging for industries grounded in the physical world. Massive amounts of digital and physical world data from legacy systems create silos. Omniverse is an operating system built on the OpenUSD framework that enables developers to unify physical-world data and applications.

Ansys, Cadence, Hexagon, Omron, Rockwell Automation and Siemens are integrating Omniverse data interoperability and visualization technologies into their leading industrial software, simulation and automation solutions to accelerate product development and optimize manufacturing processes.

For physical AI, Intrinsic, an Alphabet company, is enabling Omniverse workflows and Nvidia robotics foundation models to transition from digital twins to hardware deployments using Flowstate. Databricks is integrating Nvidia Omniverse with the Databricks Data Intelligence Platform, which will enable large-scale synthetic data generation for physical AI.

General Motors, America’s largest auto manufacturer, announced its adoption of Omniverse to enhance its factories and train platforms for operations such as material handling, transportation and precision welding. At the other end of the manufacturing life cycle, Unilever announced its adoption of Omniverse and physically accurate digital twins to streamline and optimize marketing content creation for its products.

Omniverse in Every Cloud

Omniverse AI factory blueprint.

To simplify development, deployment and scale-out of OpenUSD-based applications, Nvidia Omniverse is now available as virtual desktop images on EC2 G6e instances with NVIDIA L40S GPUs in AWS Marketplace. The Microsoft Azure Marketplace now features preconfigured Omniverse instances and Omniverse Kit App Streaming on Nvidia A10 GPUs, allowing developers to easily develop and
stream their custom Omniverse applications.

These cloud-based Nvidia Omniverse developer tools and services are expected to be available later this year on Oracle Cloud Infrastructure compute bare-metal instances with Nvidia L40S GPUs, as well as the newly announced Nvidia RTX Pro 6000 Blackwell Server Edition on Google Cloud.

OpenUSD Unifies Robotics Workflows

At GTC, NVIDIA introduced the OpenUSD Asset Structure Pipeline for Robotics with Disney Research and Intrinsic. This new structure and data pipeline uses today’s best practices within OpenESt to work toward unifying robotic workflows, providing a common language for all data sources.

GTC 2025 runs through Friday March 21.

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IonQ, Alice & Bob roll out quantum breakthroughs

“And therefore, does bring us closer to escape velocity,” he added. “When this will happen, and we’ll be able to present an Alice & Bob’s logical qubit under threshold depends on a variety of factors, but we can openly say that this is the current big work happening in the

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Oil Dips as Economic Gloom Undercuts Middle East Supply Risk

Oil slipped as broader market weakness and concerns about a global glut of crude overshadowed escalating tensions in the Middle East. West Texas Intermediate fell 1% to settle below $67 a barrel, snapping a two-session winning streak. US equities weakened a day ahead of a Federal Reserve decision set to provide clarity on the economic effects of ongoing trade wars. Oil earlier rose as much as 1.7% after Israel conducted military strikes across Gaza, while the US increases pressure on Iran.  “Crude has been pricing in only a minimal geopolitical risk premium as tensions between Israel and Hamas resurface,” said Rebecca Babin, a senior energy trader at CIBC Private Wealth Group. “Most traders view the premiums as selling opportunities, positioning for inventory builds later in the year and increasing macroeconomic risks.” Crude is on track for a quarterly loss as an escalating global trade war threatens demand while OPEC and its allies are set to raise production starting in April. The global market was already set for a glut, according to the International Energy Agency. Russian President Vladimir Putin agreed in a phone call with US President Donald Trump to limit attacks on Ukrainian energy assets, but stopped short of committing to a broader 30-day ceasefire. Still, some market participants have been quick to hedge against a pickup in geopolitical risk. Premiums on bearish put options declined relative to bullish calls on Monday, and the day’s trading was dominated by a flurry of $100-a-barrel wagers.  Prices: WTI for April delivery fell 1% to settle at $66.90 a barrel in New York. Brent for May settlement slipped 0.7% to settle at $70.56 a barrel. WHAT DO YOU THINK? Generated by readers, the comments included herein do not reflect the views and opinions of Rigzone. All comments are subject to editorial review. Off-topic, inappropriate or insulting comments

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Sembcorp Is Said to Conduct Strategic Review of Business

Sembcorp Industries Ltd. is carrying out a strategic review of its business, with various possibilities under consideration, including potentially going private or selling some assets, people with knowledge of the matter said. The Singaporean firm, which is backed by state-owned Temasek Holdings Pte, is working with a financial adviser on the review, according to the people, who asked not to be identified because the matter is private.  Sembcorp’s stock rose as much as 4.9%, the steepest intraday gain since Aug 7. Considerations are at an early stage and Sembcorp may decide not to pursue any deal, the people said.  A spokesperson for Sembcorp said the company always assesses options to enhance shareholder value, including investments, divestment, restructuring, listing and capital management.  “As part of such assessments, we work with consultants from time to time, as the needs arise” the spokesperson said. “The assessed options may or may not result in any form of transaction.”  “We will make the necessary announcements in accordance with the requirements in the SGX-ST Listing Manual where an initiative is material and has progressed to a stage where there is a high level of certainty,” the spokesperson added.  Sembcorp’s businesses include wind, solar, hydro and energy storage operations in Southeast Asia, China, India, the UK and Middle East, as well as gas and diesel-fired power plants in similar geographies, urban solutions such as waste and water management, and corporate decarbonization services.  Past restructurings include Covid-hit Sembcorp Marine’s demerger in 2020. Sembcorp Industries’ chief executive officer at the time said the move would help it focus on the energy and urban sectors. Sembcorp Industries also completed divestments in Chile, China and Panama that year. In 2024, it announced the sale of Sembcorp Environment Pte for S$405 million. Sembcorp’s shares have climbed more than 250% since the end of 2020, giving the

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But first, eat your vegetables: A guide to smarter load management

For more than a decade, the phrase “first, eat your energy efficiency vegetables” has been used to encourage consumers and utilities to prioritize reducing energy use before making changes to how energy is sourced. This principle remains true today, but with a new twist: electrification. As utilities navigate the evolving energy landscape, ensuring that efficiency and electrification work hand-in-hand is critical to reducing emissions, optimizing grid performance, and keeping customer bills in check. The Foundation Energy efficiency (EE) has long been the go-to strategy for utilities looking to lower energy consumption, reduce peak demand, and help customers save money. Electrification, on the other hand, can increase energy demand—especially if customers adopt electric vehicles (EVs) and heat pumps without implementing efficiency measures first. But when done right, electrification can be a powerful tool for decarbonization while still maintaining the benefits of energy efficiency. Why Smart Load Management Matters Electrification without efficiency is like skipping the vegetables and going straight for dessert—it may taste good in the short term but leads to problems down the line. Increased electricity consumption from EVs, heat pumps, and other electric technologies can put additional stress on the grid. The key is to integrate energy efficiency strategies with electrification efforts to balance load growth and avoid excessive peak demand. Targeting Customers Who Are Ready for the Next Step Not every customer is ready for a full-scale energy retrofit, but many are open to incremental improvements. The good news? Data shows that those who adopt smart thermostats or EVs are often inclined to pursue further energy efficiency improvements, and vice versa. Utilities can leverage this customer propensity by using targeted marketing and strategic program design to enhance energy efficiency and demand response (DR) participation. Here’s how: 1. Promote Heat Pumps to Homes with Recent Insulation Work A home

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APA Hits Oil Discovery on Alaskan North Slope

APA Corp. and its partners have declared a “significant” petroleum discovery in the Lagniappe area on Alaska’s North Slope. Drilled to about 10,500 feet, the Sockeye-2 well “encountered a high-quality reservoir with approximately 25 feet of net oil pay in one blocky, Paleocene-aged sand with an average porosity of 20 percent”, Houston, Texas-based APA said in an online statement. “As compared to recent regional field analogs in the Brookian play, the porosity and permeability are both better than expected, with the permeability to be confirmed through a planned flow test”, the oil and gas explorer and producer said. “Additional zones of potential pay were also encountered in the shallower Staines Tongue formation. “The Sockeye prospect is amplitude supported across 25,000 to 30,000 acres, and confirms the partners’ geologic and geophysical models, derisking numerous additional prospects in the area. “Wireline logging is complete and additional data collection is underway, including acquiring core and flow testing the well”. APA holds a 50 percent stake in the leasehold through subsidiary Apache Corp. Operator Lagniappe Alaska LLC of Armstrong Oil & Gas Inc. owns 25 percent. Santos Ltd. has the remaining 25 percent. Sockeye-2 is the second successful exploratory well drilled by the consortium on their 325,411-acre position on state lands. The first discovery, King Street-1, struck oil in two Brookian zones. “The Sockeye-2 well further demonstrates the potential of the play, presenting an exciting opportunity in an active area of the North Slope with significant existing infrastructure”, commented Bill Armstrong, chief executive of Armstrong Oil & Gas. The leasehold sits east of Prudhoe Bay, one of the biggest oilfields in the United States. In a separate statement, Santos said, “The exploration well cost is carried by APA as part of a 2023 farm-in agreement”. On a separate upstream development in Alaska, Santos also said phase

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New York state offers $5M for existing building energy innovations

The New York State Energy Research and Development Authority has allocated $5 million to support building solutions that can be demonstrated in existing buildings, including small- to medium-sized commercial, multifamily and single-family buildings, the department announced Friday. Through the Enabling Innovative Clean Energy Building Solutions program, the funding aims to accelerate the market-readiness of new and emerging clean energy and energy efficiency technologies that can help to manage future energy use, enhance energy efficiency and lower operating costs in buildings across the state, NYSERDA says. “By addressing critical areas like clean heating and cooling, energy efficiency, and building decarbonization, NYSERDA … will not only help the State meet its climate goals but also support long-term resilience and cost savings for tenants and building owners across New York State,” Richard Yancey, CEO of the Building Energy Exchange, said in a statement.  The program seeks applications for projects and programs that demonstrate the “latest innovations in integrated systems, materials and technologies that can greatly improve building or home performance, reduce costs, and/or improve resiliency,” NYSERDA said. The maximum funding for each selected proposal is $1 million, with eligible projects being required to have been previously awarded funding from a federal, state or local government entity — besides NYSERDA — foundation or non-profit to develop an innovative clean building technology product or solution, per the release. Eligible funding areas include solutions related to building envelopes, such as components or materials that improve performance or enable building envelope retrofit; clean heating and cooling; intelligent grid-interactive building controls; low-global warming potential refrigerant applications and leak detection; or thermal storage.  Clean heating and cooling solutions include new heat pump equipment, ground source systems and hybrid systems, with grid-interactive building controls including those that enable electric load and energy asset management. Thermal storage solutions that integrate heating,

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Microgrids called a low-burden way to ensure backup power

Microgrids don’t pose an immediate threat to diesel generators as the way most managers ensure their facilities have backup power, but Allan Schurr, the chief commercial officer at microgrid company Enchanted Rock, expects more operators to look at what he says is a cleaner, administratively easier approach that microgrids offer.  “Diesel generators are in short supply and sometimes it’s two years before you can get a diesel generator delivered,” Schurr told Facilities Dive. “By having a microgrid … you can [have something] more reliable and cleaner” and have it up and running within a year.” A microgrid is a self-contained electrical network that companies like Schurr’s install on their client’s property. Enchanted Rock builds its network using half-megawatt natural gas generators that it gangs together based on the amount of load the client wants to back up. For a hospital, it might be a network of 10 generators. For a grocery store, it might be two or three.  “Our standardization of equipment is part of our differentiator,” said Schurr, referring to his company’s use of a single-size generator. “That allows us to dial in exactly the amount of backup power that’s needed for any facility size.” Power from the microgrid is cleaner, Schurr says. In the case of Enchanted Rock, it’s cleaner because it’s generated from natural gas. But microgrids can also use solar, wind and other non-fossil-fuel burning sources.  The cleaner power might be important to organizations that make sustainability a priority but it can also help lower energy costs by enabling the microgrid to run power outside of emergency situations and sell it as a supplemental power source to the local utility grid. That revenue goes to the microgrid and helps offset what the property owner pays for its backup power.  “So, [our clients] can get the air

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Jio teams with AMD, Cisco and Nokia to build AI-enabled telecom platform

Its accessible and flexible design will allow telecom providers, across the globe, to add AI capabilities to various parts of their infrastructure, including radio access networks (RAN), security systems, data centers, and network routing. This will make networks more manageable and responsive to issues, resulting in a smoother user experience. Jio will be the first to try out this new platform in hopes of setting an example for other telecom providers around the world. According to Jio, the goal is to create a model that others can easily follow and put into action going forward. Oommen expects the first innovation from this alliance to come in this calendar year. For Cisco, this alliance is a continuation of the strategy put in place several years ago to be more interoperable and open. Historically, Cisco has been accused of being closed and proprietary and keeping customers locked into their products. While I think the competitive chatter was far greater than the reality, there was some truth to it. This is something Jeetu Patel, who took on the role of chief product officer last year, has changed. “Over the past three to four years, we have made a huge amount of progress in this area. We have partnerships with Microsoft in security; our collaboration products work with Microsoft Teams and Zoom; our XDR takes in telemetry from competitors; and we have partnerships with multiple AI companies,” Patel told me. The willingness to be open is something all vendors should embrace as openness creates better competition and drives innovation and brings costs down. The democratization of AI creates a better world, like the way making the Internet ubiquitous did. The Open Telecom AI Platform allows more companies to participate in AI and share in the upside creating a “rising tide” that will fundamentally transform

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Enterprises reevaluate virtualization strategies amid Broadcom uncertainty

This dilemma of whether to absorb the Broadcom price hikes or embark on the arduous and risky journey of untangling from the VMware ecosystem is triggering a broader C-level conversation around virtualization strategy. “For enterprises navigating this uncertainly, the challenge isn’t just finding a replacement for VMware. IT shops of all sizes see Broadcom’s actions as an opportunity to rethink their approach to virtualization, cloud strategy and IT modernization,” says Steve McDowell, chief analyst at NAND Research. Elliot says that server virtualization has been taken for granted for a long time, and the Broadcom-driven wake-up call is forcing organizations to reevaluate their virtualization strategies at the board level. “That kind of strategic conversation hasn’t happened for years. Customers are saying, ‘What can we do as this platform emerges from VMware. How do we think about this relative to our multi-cloud strategy and private cloud and the efficiencies we can gain? Let’s talk about risk reduction. Let’s talk about platform strategy.’ This is an opportunity to identify business value. It’s triggering this plethora of swim lanes.” Check the waters before diving in While there are multiple alternatives to the VMware platform, none of them are as good from a feature perspective, and there’s a risk associated with moving off a tried-and-true platform. In estimating the cost of a large-scale VMware migration, Gartner cautions: “VMware’s server virtualization platform has become the point of integration for its customers across server, storage and network infrastructure in the data center. Equally, it is a focus of IT operational duties including workload provisioning, backup and disaster recovery. Migrating from VMware’s server virtualization platform would require untangling many aspects of these investments.” It would take a midsize enterprise at least two years to untangle much of its dependency upon VMware, and it could take a large enterprise

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5 alternatives to VMware vSphere virtualization platform

Nutanix – which is actively courting disgruntled VMware customers – provides storage services that aggregate storage in a global pool that enables any VM to access and consume storage resources. Features include compression, deduplication, high-availability and snapshots. Enterprises running high-performance databases often require external storage arrays, and Nutanix has addressed that need by certifying storage with SAP HANA and Oracle RAC. (Read more: Cisco, Nutanix strengthen joint HCI package) 4. Scale Computing Platform Scale provides an all-in-one hardware and software package that includes all software licenses. Software features offered at no additional charge include high-availability clustering, built-in disaster recovery, replication and software-defined storage. Scale also offers a tool to automate migrations off vSphere, a centralized management feature for HCI clusters, and the ability to mix and match dissimilar hardware appliances in a cluster. In addition, all storage is pooled. Last summer, Scale Computing said in a quarterly earnings announcement that sales have taken off, thanks in part to Broadcom’s changes to VMware sales operations.  5. VergeIO VergeIO takes HCI to the next level with something it calls ultraconverged infrastructure (UCI). This means VergeIO can not only virtualize the normal stack of compute, networking and storage, it can also implement multi-tenancy, creating multiple virtual data centers (VDCs). Each VDC has its own compute, network, storage, management and VergeOS assigned to it. Enterprises can manage and use each VDC much like the virtual private clouds offered by the hyperscalers. VergeIO says this model creates greater workload density, which means lower costs, improved availability, and simplified IT.

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IBM laying foundation for mainframe as ultimate AI server

“It will truly change what customers are able to do with AI,” Stowell said. IBM’s mainframe processors The next generation of processors is expected to continue a long history of generation-to-generation improvements, IBM stated in a new white paper on AI and the mainframe. “They are projected to clock in at 5.5 GHz. and include ten 36 MB level 2 caches. They’ll feature built-in low-latency data processing for accelerated I/O as well as a completely redesigned cache and chip-interconnection infrastructure for more on-chip cache and compute capacity,” IBM wrote.  Today’s mainframes also have extensions and accelerators that integrate with the core systems. These specialized add-ons are designed to enable the adoption of technologies such as Java, cloud and AI by accelerating computing paradigms that are essential for high-volume, low-latency transaction processing, IBM wrote.  “The next crop of AI accelerators are expected to be significantly enhanced—with each accelerator designed to deliver 4 times more compute power, reaching 24 trillion operations per second (TOPS),” IBM wrote. “The I/O and cache improvements will enable even faster processing and analysis of large amounts of data and consolidation of workloads running across multiple servers, for savings in data center space and power costs. And the new accelerators will provide increased capacity to enable additional transaction clock time to perform enhanced in-transaction AI inferencing.” In addition, the next generation of the accelerator architecture is expected to be more efficient for AI tasks. “Unlike standard CPUs, the chip architecture will have a simpler layout, designed to send data directly from one compute engine, and use a range of lower- precision numeric formats. These enhancements are expected to make running AI models more energy efficient and far less memory intensive. As a result, mainframe users can leverage much more complex AI models and perform AI inferencing at a greater scale

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VergeIO enhances VergeFabric network virtualization offering

VergeIO is not, however, using an off-the-shelf version of KVM. Rather, it is using what Crump referred to as a heavily modified KVM hypervisor base, with significant proprietary enhancements while still maintaining connections to the open-source community. VergeIO’s deployment profile is currently 70% on premises and about 30% via bare-metal service providers, with a particularly strong following among cloud service providers that host applications for their customers. The software requires direct hardware access due to its low-level integration with physical resources. “Since November of 2023, the normal number one customer we’re attracting right now is guys that have had a heart attack when they got their VMware renewal license,” Crump said. “The more of the stack you own, the better our story becomes.” A 2024 report from Data Center Intelligence Group (DCIG) identified VergeOS as one of the top 5 alternatives to VMware. “VergeIO starts by installing VergeOS on bare metal servers,” the report stated. “It then brings the servers’ hardware resources under its management, catalogs these resources, and makes them available to VMs. By directly accessing and managing the server’s hardware resources, it optimizes them in ways other hypervisors often cannot.” Advanced networking features in VergeFabric VergeFabric is the networking component within the VergeOS ecosystem, providing software-defined networking capabilities as an integrated service rather than as a separate virtual machine or application.

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Podcast: On the Frontier of Modular Edge AI Data Centers with Flexnode’s Andrew Lindsey

The modular data center industry is undergoing a seismic shift in the age of AI, and few are as deeply embedded in this transformation as Andrew Lindsey, Co-Founder and CEO of Flexnode. In a recent episode of the Data Center Frontier Show podcast, Lindsey joined Editor-in-Chief Matt Vincent and Senior Editor David Chernicoff to discuss the evolution of modular data centers, the growing demand for high-density liquid-cooled solutions, and the industry factors driving this momentum. A Background Rooted in Innovation Lindsey’s career has been defined by the intersection of technology and the built environment. Prior to launching Flexnode, he worked at Alpha Corporation, a top 100 engineering and construction management firm founded by his father in 1979. His early career involved spearheading technology adoption within the firm, with a focus on high-security infrastructure for both government and private clients. Recognizing a massive opportunity in the data center space, Lindsey saw a need for an innovative approach to infrastructure deployment. “The construction industry is relatively uninnovative,” he explained, citing a McKinsey study that ranked construction as the second least-digitized industry—just above fishing and wildlife, which remains deliberately undigitized. Given the billions of square feet of data center infrastructure required in a relatively short timeframe, Lindsey set out to streamline and modernize the process. Founded four years ago, Flexnode delivers modular data centers with a fully integrated approach, handling everything from site selection to design, engineering, manufacturing, deployment, operations, and even end-of-life decommissioning. Their core mission is to provide an “easy button” for high-density computing solutions, including cloud and dedicated GPU infrastructure, allowing faster and more efficient deployment of modular data centers. The Rising Momentum for Modular Data Centers As Vincent noted, Data Center Frontier has closely tracked the increasing traction of modular infrastructure. Lindsey has been at the forefront of this

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Microsoft will invest $80B in AI data centers in fiscal 2025

And Microsoft isn’t the only one that is ramping up its investments into AI-enabled data centers. Rival cloud service providers are all investing in either upgrading or opening new data centers to capture a larger chunk of business from developers and users of large language models (LLMs).  In a report published in October 2024, Bloomberg Intelligence estimated that demand for generative AI would push Microsoft, AWS, Google, Oracle, Meta, and Apple would between them devote $200 billion to capex in 2025, up from $110 billion in 2023. Microsoft is one of the biggest spenders, followed closely by Google and AWS, Bloomberg Intelligence said. Its estimate of Microsoft’s capital spending on AI, at $62.4 billion for calendar 2025, is lower than Smith’s claim that the company will invest $80 billion in the fiscal year to June 30, 2025. Both figures, though, are way higher than Microsoft’s 2020 capital expenditure of “just” $17.6 billion. The majority of the increased spending is tied to cloud services and the expansion of AI infrastructure needed to provide compute capacity for OpenAI workloads. Separately, last October Amazon CEO Andy Jassy said his company planned total capex spend of $75 billion in 2024 and even more in 2025, with much of it going to AWS, its cloud computing division.

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John Deere unveils more autonomous farm machines to address skill labor shortage

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Self-driving tractors might be the path to self-driving cars. John Deere has revealed a new line of autonomous machines and tech across agriculture, construction and commercial landscaping. The Moline, Illinois-based John Deere has been in business for 187 years, yet it’s been a regular as a non-tech company showing off technology at the big tech trade show in Las Vegas and is back at CES 2025 with more autonomous tractors and other vehicles. This is not something we usually cover, but John Deere has a lot of data that is interesting in the big picture of tech. The message from the company is that there aren’t enough skilled farm laborers to do the work that its customers need. It’s been a challenge for most of the last two decades, said Jahmy Hindman, CTO at John Deere, in a briefing. Much of the tech will come this fall and after that. He noted that the average farmer in the U.S. is over 58 and works 12 to 18 hours a day to grow food for us. And he said the American Farm Bureau Federation estimates there are roughly 2.4 million farm jobs that need to be filled annually; and the agricultural work force continues to shrink. (This is my hint to the anti-immigration crowd). John Deere’s autonomous 9RX Tractor. Farmers can oversee it using an app. While each of these industries experiences their own set of challenges, a commonality across all is skilled labor availability. In construction, about 80% percent of contractors struggle to find skilled labor. And in commercial landscaping, 86% of landscaping business owners can’t find labor to fill open positions, he said. “They have to figure out how to do

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2025 playbook for enterprise AI success, from agents to evals

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More 2025 is poised to be a pivotal year for enterprise AI. The past year has seen rapid innovation, and this year will see the same. This has made it more critical than ever to revisit your AI strategy to stay competitive and create value for your customers. From scaling AI agents to optimizing costs, here are the five critical areas enterprises should prioritize for their AI strategy this year. 1. Agents: the next generation of automation AI agents are no longer theoretical. In 2025, they’re indispensable tools for enterprises looking to streamline operations and enhance customer interactions. Unlike traditional software, agents powered by large language models (LLMs) can make nuanced decisions, navigate complex multi-step tasks, and integrate seamlessly with tools and APIs. At the start of 2024, agents were not ready for prime time, making frustrating mistakes like hallucinating URLs. They started getting better as frontier large language models themselves improved. “Let me put it this way,” said Sam Witteveen, cofounder of Red Dragon, a company that develops agents for companies, and that recently reviewed the 48 agents it built last year. “Interestingly, the ones that we built at the start of the year, a lot of those worked way better at the end of the year just because the models got better.” Witteveen shared this in the video podcast we filmed to discuss these five big trends in detail. Models are getting better and hallucinating less, and they’re also being trained to do agentic tasks. Another feature that the model providers are researching is a way to use the LLM as a judge, and as models get cheaper (something we’ll cover below), companies can use three or more models to

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OpenAI’s red teaming innovations define new essentials for security leaders in the AI era

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More OpenAI has taken a more aggressive approach to red teaming than its AI competitors, demonstrating its security teams’ advanced capabilities in two areas: multi-step reinforcement and external red teaming. OpenAI recently released two papers that set a new competitive standard for improving the quality, reliability and safety of AI models in these two techniques and more. The first paper, “OpenAI’s Approach to External Red Teaming for AI Models and Systems,” reports that specialized teams outside the company have proven effective in uncovering vulnerabilities that might otherwise have made it into a released model because in-house testing techniques may have missed them. In the second paper, “Diverse and Effective Red Teaming with Auto-Generated Rewards and Multi-Step Reinforcement Learning,” OpenAI introduces an automated framework that relies on iterative reinforcement learning to generate a broad spectrum of novel, wide-ranging attacks. Going all-in on red teaming pays practical, competitive dividends It’s encouraging to see competitive intensity in red teaming growing among AI companies. When Anthropic released its AI red team guidelines in June of last year, it joined AI providers including Google, Microsoft, Nvidia, OpenAI, and even the U.S.’s National Institute of Standards and Technology (NIST), which all had released red teaming frameworks. Investing heavily in red teaming yields tangible benefits for security leaders in any organization. OpenAI’s paper on external red teaming provides a detailed analysis of how the company strives to create specialized external teams that include cybersecurity and subject matter experts. The goal is to see if knowledgeable external teams can defeat models’ security perimeters and find gaps in their security, biases and controls that prompt-based testing couldn’t find. What makes OpenAI’s recent papers noteworthy is how well they define using human-in-the-middle

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