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VMware Edge Cloud Orchestrator Released

VMware announced new capabilities, solutions, and services to help customers accelerate their digital transformation at the edge. This includes:

- New VMware Edge orchestration capabilities to orchestrate and manage multiple edge services at scale.

- A new retail edge industry solution to better support customer engagement, loss prevention, and point-of-sale transformation.

- A soon to be available VMware Edge managed connectivity service enabling wireless service providers to deliver private 4G/5G services to enterprises.

“The growing demand for edge computing across industries is driving the need for automation and orchestration,” said Sanjay Uppal, senior vice president and general manager of Service Provider and Edge, VMware. “The VMware Edge Cloud Orchestrator is a powerful new tool that extends our proven network automation and orchestration capabilities to help organizations more securely and cost-effectively install, configure, operate, and maintain their edge deployments. Building on our history of scaling edge networking from carriers to enterprise, VMware Edge Cloud Orchestrator is the first truly software-defined edge solution for scalable ‘end-to-edge’ infrastructure.”

VMware is introducing new and enhanced orchestration capabilities for the edge. VMware Edge Cloud Orchestrator (formerly VMware SASE Orchestrator) will provide unified management for VMware SASE and the VMware Edge Compute Stack—an offering to bridge the gap between edge networking and edge compute. Enhancements to the orchestrator will help customers plan, deploy, run, visualize, and manage their edge environments in a friction-free manner—allowing them to run edge-native applications focused on business outcomes. The VMware Edge Cloud Orchestrator (VECO) will deliver holistic edge management by providing a single console to manage edge compute infrastructure, networking, and security.

VMware defines the software-defined edge as a distributed digital Infrastructure that runs workloads across a number of locations, close to endpoints that are producing and consuming data. It extends to where the users and devices are—whether they are in the office, on the road or on the factory floor. Enterprises need solutions to connect these elements more securely and reliably to the larger enterprise network in a scalable manner. VMware Edge Cloud Orchestrator is key to enabling a software-defined edge approach. VMware’s approach to the software-defined edge features right-sized infrastructure (shrinking the stack to the smallest possible footprint); pull-based orchestration (security and administrative updates are “pulled” by the workload); and network programmability (defined by APIs and code).

Building off the VMware Edge Cloud Orchestrator launch, VMware unveiled new orchestration capabilities for VMware Edge Compute Stack based on Project Keswick. Keswick is available as a Technology Showcase today and allows edge administrators to work with VMware to develop use cases. Customers will benefit from simplified lifecycle management of virtual machine (VM)- and containers-based applications and infrastructure. The technology offers pull-based configuration with zero touch provisioning and supports GitOps principles for desired state management. With scalable deployment and operations capabilities, it will also help customers automate security updates across edge infrastructure and will be ideal for edges lacking a stable inbound network connection.

VMware Edge Compute Stack’s support for new and existing applications enables customers to consolidate hardware and modernize applications at their own pace. The low-latency architecture helps operate high-speed robotics as well as share GPU resources across applications. This reduces infrastructure and management overhead enabling customers to scale their edge operations for innovations today and in the future. VMware provides the reliability and resilience customers require to repeatably run the most stringent Operational Technology (OT) applications.

The new VMware Retail Edge Solution brings the agility, ease of management, and better security of VMware Edge Compute Stack to retail store environments. A single software-defined platform to deliver critical business outcomes, VMware Retail Edge enables customers to build, run, manage, connect, and protect their business services across all their retail stores, simply and more cost-effectively. With VMware Retail Edge, customers can reduce in-store infrastructure costs and management, remotely deploy and maintain applications on demand, and accelerate the deployment of next-generation AI apps. VMware Retail Edge makes adopting solutions from partners faster and more cost effective by consolidating these apps onto a single scalable store innovation platform. By combining VMware Retail Edge with solutions from partners such as Chooch.ai and Stratodesk, retailers can better support customer engagement, loss prevention, and point-of-sale transformation.

Announcing the Initial Availability of VMware Private Mobile Network Today, VMware also announced that the VMware Private Mobile Network, a managed connectivity service to accelerate edge digital transformation, will become initially available in the current quarter (FY24 Q3). VMware partners with wireless service providers to help remove the complexity associated with private mobile networks and enable enterprises to focus on their strategic business outcomes. Built on VMware Edge Compute Stack, VMware Private Mobile Network offers service providers trusted VMware technology, seamlessly integrated into existing IT management platforms. This enables rapid deployment and effortless management and orchestration.

VMware offers enterprises the right edge solution to address diverse use cases at the right price. It is collaborating with customers to successfully address the following edge use cases:

- Manufacturing – Support for autonomous vehicles, digital twin, inventory management, safety, and security.

- Retail – Support for loss prevention, inventory management, safety, security, and computer vision.

- Energy – Enable increased production visibility and efficiency, reduced unplanned downtime, maintain regulatory compliance.

- Healthcare – Support for IoT wearables, smart utilities, and surgical robotics.

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VMware Edge Cloud Orchestrator Released

VMware announced new capabilities, solutions, and services to help customers accelerate their digital transformation at the edge. This includes:

- New VMware Edge orchestration capabilities to orchestrate and manage multiple edge services at scale.

- A new retail edge industry solution to better support customer engagement, loss prevention, and point-of-sale transformation.

- A soon to be available VMware Edge managed connectivity service enabling wireless service providers to deliver private 4G/5G services to enterprises.

“The growing demand for edge computing across industries is driving the need for automation and orchestration,” said Sanjay Uppal, senior vice president and general manager of Service Provider and Edge, VMware. “The VMware Edge Cloud Orchestrator is a powerful new tool that extends our proven network automation and orchestration capabilities to help organizations more securely and cost-effectively install, configure, operate, and maintain their edge deployments. Building on our history of scaling edge networking from carriers to enterprise, VMware Edge Cloud Orchestrator is the first truly software-defined edge solution for scalable ‘end-to-edge’ infrastructure.”

VMware is introducing new and enhanced orchestration capabilities for the edge. VMware Edge Cloud Orchestrator (formerly VMware SASE Orchestrator) will provide unified management for VMware SASE and the VMware Edge Compute Stack—an offering to bridge the gap between edge networking and edge compute. Enhancements to the orchestrator will help customers plan, deploy, run, visualize, and manage their edge environments in a friction-free manner—allowing them to run edge-native applications focused on business outcomes. The VMware Edge Cloud Orchestrator (VECO) will deliver holistic edge management by providing a single console to manage edge compute infrastructure, networking, and security.

VMware defines the software-defined edge as a distributed digital Infrastructure that runs workloads across a number of locations, close to endpoints that are producing and consuming data. It extends to where the users and devices are—whether they are in the office, on the road or on the factory floor. Enterprises need solutions to connect these elements more securely and reliably to the larger enterprise network in a scalable manner. VMware Edge Cloud Orchestrator is key to enabling a software-defined edge approach. VMware’s approach to the software-defined edge features right-sized infrastructure (shrinking the stack to the smallest possible footprint); pull-based orchestration (security and administrative updates are “pulled” by the workload); and network programmability (defined by APIs and code).

Building off the VMware Edge Cloud Orchestrator launch, VMware unveiled new orchestration capabilities for VMware Edge Compute Stack based on Project Keswick. Keswick is available as a Technology Showcase today and allows edge administrators to work with VMware to develop use cases. Customers will benefit from simplified lifecycle management of virtual machine (VM)- and containers-based applications and infrastructure. The technology offers pull-based configuration with zero touch provisioning and supports GitOps principles for desired state management. With scalable deployment and operations capabilities, it will also help customers automate security updates across edge infrastructure and will be ideal for edges lacking a stable inbound network connection.

VMware Edge Compute Stack’s support for new and existing applications enables customers to consolidate hardware and modernize applications at their own pace. The low-latency architecture helps operate high-speed robotics as well as share GPU resources across applications. This reduces infrastructure and management overhead enabling customers to scale their edge operations for innovations today and in the future. VMware provides the reliability and resilience customers require to repeatably run the most stringent Operational Technology (OT) applications.

The new VMware Retail Edge Solution brings the agility, ease of management, and better security of VMware Edge Compute Stack to retail store environments. A single software-defined platform to deliver critical business outcomes, VMware Retail Edge enables customers to build, run, manage, connect, and protect their business services across all their retail stores, simply and more cost-effectively. With VMware Retail Edge, customers can reduce in-store infrastructure costs and management, remotely deploy and maintain applications on demand, and accelerate the deployment of next-generation AI apps. VMware Retail Edge makes adopting solutions from partners faster and more cost effective by consolidating these apps onto a single scalable store innovation platform. By combining VMware Retail Edge with solutions from partners such as Chooch.ai and Stratodesk, retailers can better support customer engagement, loss prevention, and point-of-sale transformation.

Announcing the Initial Availability of VMware Private Mobile Network Today, VMware also announced that the VMware Private Mobile Network, a managed connectivity service to accelerate edge digital transformation, will become initially available in the current quarter (FY24 Q3). VMware partners with wireless service providers to help remove the complexity associated with private mobile networks and enable enterprises to focus on their strategic business outcomes. Built on VMware Edge Compute Stack, VMware Private Mobile Network offers service providers trusted VMware technology, seamlessly integrated into existing IT management platforms. This enables rapid deployment and effortless management and orchestration.

VMware offers enterprises the right edge solution to address diverse use cases at the right price. It is collaborating with customers to successfully address the following edge use cases:

- Manufacturing – Support for autonomous vehicles, digital twin, inventory management, safety, and security.

- Retail – Support for loss prevention, inventory management, safety, security, and computer vision.

- Energy – Enable increased production visibility and efficiency, reduced unplanned downtime, maintain regulatory compliance.

- Healthcare – Support for IoT wearables, smart utilities, and surgical robotics.

The Latest

While companies adopt AI at a record pace, they also face the challenge of finding a smart and scalable way to manage its rapidly growing costs. This requires balancing the massive possibilities inherent in AI with the need to control cloud costs, aim for long-term profitability and optimize spending ...

Telecommunications is expanding at an unprecedented pace ... But progress brings complexity. As WanAware's 2025 Telecom Observability Benchmark Report reveals, many operators are discovering that modernization requires more than physical build outs and CapEx — it also demands the tools and insights to manage, secure, and optimize this fast-growing infrastructure in real time ...

As businesses increasingly rely on high-performance applications to deliver seamless user experiences, the demand for fast, reliable, and scalable data storage systems has never been greater. Redis — an open-source, in-memory data structure store — has emerged as a popular choice for use cases ranging from caching to real-time analytics. But with great performance comes the need for vigilant monitoring ...

Kubernetes was not initially designed with AI's vast resource variability in mind, and the rapid rise of AI has exposed Kubernetes limitations, particularly when it comes to cost and resource efficiency. Indeed, AI workloads differ from traditional applications in that they require a staggering amount and variety of compute resources, and their consumption is far less consistent than traditional workloads ... Considering the speed of AI innovation, teams cannot afford to be bogged down by these constant infrastructure concerns. A solution is needed ...

AI is the catalyst for significant investment in data teams as enterprises require higher-quality data to power their AI applications, according to the State of Analytics Engineering Report from dbt Labs ...

Misaligned architecture can lead to business consequences, with 93% of respondents reporting negative outcomes such as service disruptions, high operational costs and security challenges ...

A Gartner analyst recently suggested that GenAI tools could create 25% time savings for network operational teams. Where might these time savings come from? How are GenAI tools helping NetOps teams today, and what other tasks might they take on in the future as models continue improving? In general, these savings come from automating or streamlining manual NetOps tasks ...

IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...

A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...

According to Gartner, Inc. the following six trends will shape the future of cloud over the next four years, ultimately resulting in new ways of working that are digital in nature and transformative in impact ...