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Broadcom Announces Capabilities to Support Edge AI Workloads

Broadcom, which recently acquired VMware, announced developments across its Software-Defined Edge product portfolio to enable enterprises to support Edge AI workloads via new and enhanced connectivity, deployment, and lifecycle management capabilities, including:

- Combined Fixed Wireless Access (FWA) and satellite connections support in the VMware VeloCloud Edge 710 appliance as well as the new VMware VeloCloud Edge 720 and 740 appliances.

- VMware VeloCloud SASE, secured by Symantec enhancements featuring the integration of VeloCloud and Symantec points of presence (PoPs).

- VMware Edge Compute Stack product enhancements.

Broadcom defines the software-defined edge as distributed digital infrastructure for connecting, securing and running workloads across a number of locations, close to endpoints that are producing or consuming data. It extends to where the users and devices are – in the office, on the road, in a cell site, at a retail store or on the factory floor. Broadcom addresses the three layers of the software-defined edge: the edge compute stack which hosts the applications and workloads; the intelligent overlay where connectivity and security services run across the WAN; and the underlay network layer, which runs the software for network connectivity across fixed and 5G networks to provide orchestration and network programmability.

“We’re focused on enabling enterprises to adopt Edge AI workloads,” said Sanjay Uppal, vice president and general manager, Software-Defined Edge Division, Broadcom. “We’ve announced support for Fixed Wireless Access and satellite connections in VMware VeloCloud Edge to deliver critical, blended connectivity for OT devices as well as AI and non-AI edge workloads. We uniquely offer enterprises a good, better, best approach to connectivity at the edge by allowing them to tweak real-time WAN performance, gain insights from the network, and program the network. This convergence of the underlay network enables enterprises to build networks in minutes to support today’s and tomorrow’s workloads.”

To address the need for more robust connectivity to support edge computing and Edge AI workloads, Broadcom announced enhancements to the VMware VeloCloud Edge 710 appliance as well as introduced new VMware VeloCloud Edge 720 and 740 appliances. VeloCloud Edge 710 now provides enterprises with a combination of broadband, FWA, and satellite connections to significantly improve real-time voice, video, and application traffic – delivering enhanced connectivity at the edge. This blended connectivity provides enterprises with redundant, always-on connectivity for edge devices and workloads. Additionally, Communication Service Providers (CSPs) can use the VeloCloud Edge 710, 720, and 740 appliances to further modernize their infrastructure and monetize their services by delivering a premium, combined SD-WAN, FWA, and satellite offering to enterprise customers in support of their edge deployments. CSPs running both VeloCloud SD-WAN and VMware Telco Cloud Platform benefit from the ability to program the real-time performance of their WAN using insights from their networks.

To better assist enterprises with cloud connectivity, Broadcom announced initial integration of VeloCloud SD-WAN points of presence (PoPs) with Symantec PoPs. This integration will further automate cloud access without compromising performance and security. VeloCloud SASE, secured by Symantec customers will also benefit from higher bandwidth and availability, lower latency, and global reach to major cloud and SaaS providers. Earlier this year, Broadcom announced the availability of VeloCloud SASE, secured by Symantec—a single-vendor SASE solution. The solution is a culmination of a joint effort to integrate best-in-class VeloCloud SD-WAN and Symantec Security Service Edge (SSE) capabilities—extending significant benefits to Broadcom’s VeloCloud and Symantec customers.

An edge-optimized runtime and orchestration platform, VMware Edge Compute Stack delivers frictionless management of edge apps and infrastructure across many sites with limited resources. With its latest two releases, VMware Edge Compute Stack delivered critical capabilities to efficiently manage infrastructure and applications including Edge AI apps and workloads such as Small Language Models (SLMs) at dispersed sites, including:

- Zero-Touch Orchestration: VMware Edge Cloud Orchestrator simplifies deployment and application lifecycle management across multiple sites by leveraging GitOps and desired state management. By automating these processes, enterprises enable consistent and efficient operations, even with limited IT resources.

- Pull-Based Architecture: Hosts always initiate the communication to the management plane as a keepalive, and also to fetch any changes to its configuration. This architecture puts less burden on the management plane, allowing it to achieve a much higher scale.

- Edge Infrastructure and Application Monitoring: It configures metrics gathering and transmission for infrastructure, virtual machines, and Kubernetes-based workloads. Customers can achieve comprehensive local edge monitoring in minutes with the included sample implementation of industry-standard monitoring tools and pre-built dashboards.

These capabilities simplify deploying and managing Edge AI workloads enabling enterprises to more quickly realize the business benefits of their Edge AI investments. The recent release of VMware Edge Compute Stack 3.6 delivered additional new features to make it even easier to deploy and manage the edge at scale.

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Broadcom Announces Capabilities to Support Edge AI Workloads

Broadcom, which recently acquired VMware, announced developments across its Software-Defined Edge product portfolio to enable enterprises to support Edge AI workloads via new and enhanced connectivity, deployment, and lifecycle management capabilities, including:

- Combined Fixed Wireless Access (FWA) and satellite connections support in the VMware VeloCloud Edge 710 appliance as well as the new VMware VeloCloud Edge 720 and 740 appliances.

- VMware VeloCloud SASE, secured by Symantec enhancements featuring the integration of VeloCloud and Symantec points of presence (PoPs).

- VMware Edge Compute Stack product enhancements.

Broadcom defines the software-defined edge as distributed digital infrastructure for connecting, securing and running workloads across a number of locations, close to endpoints that are producing or consuming data. It extends to where the users and devices are – in the office, on the road, in a cell site, at a retail store or on the factory floor. Broadcom addresses the three layers of the software-defined edge: the edge compute stack which hosts the applications and workloads; the intelligent overlay where connectivity and security services run across the WAN; and the underlay network layer, which runs the software for network connectivity across fixed and 5G networks to provide orchestration and network programmability.

“We’re focused on enabling enterprises to adopt Edge AI workloads,” said Sanjay Uppal, vice president and general manager, Software-Defined Edge Division, Broadcom. “We’ve announced support for Fixed Wireless Access and satellite connections in VMware VeloCloud Edge to deliver critical, blended connectivity for OT devices as well as AI and non-AI edge workloads. We uniquely offer enterprises a good, better, best approach to connectivity at the edge by allowing them to tweak real-time WAN performance, gain insights from the network, and program the network. This convergence of the underlay network enables enterprises to build networks in minutes to support today’s and tomorrow’s workloads.”

To address the need for more robust connectivity to support edge computing and Edge AI workloads, Broadcom announced enhancements to the VMware VeloCloud Edge 710 appliance as well as introduced new VMware VeloCloud Edge 720 and 740 appliances. VeloCloud Edge 710 now provides enterprises with a combination of broadband, FWA, and satellite connections to significantly improve real-time voice, video, and application traffic – delivering enhanced connectivity at the edge. This blended connectivity provides enterprises with redundant, always-on connectivity for edge devices and workloads. Additionally, Communication Service Providers (CSPs) can use the VeloCloud Edge 710, 720, and 740 appliances to further modernize their infrastructure and monetize their services by delivering a premium, combined SD-WAN, FWA, and satellite offering to enterprise customers in support of their edge deployments. CSPs running both VeloCloud SD-WAN and VMware Telco Cloud Platform benefit from the ability to program the real-time performance of their WAN using insights from their networks.

To better assist enterprises with cloud connectivity, Broadcom announced initial integration of VeloCloud SD-WAN points of presence (PoPs) with Symantec PoPs. This integration will further automate cloud access without compromising performance and security. VeloCloud SASE, secured by Symantec customers will also benefit from higher bandwidth and availability, lower latency, and global reach to major cloud and SaaS providers. Earlier this year, Broadcom announced the availability of VeloCloud SASE, secured by Symantec—a single-vendor SASE solution. The solution is a culmination of a joint effort to integrate best-in-class VeloCloud SD-WAN and Symantec Security Service Edge (SSE) capabilities—extending significant benefits to Broadcom’s VeloCloud and Symantec customers.

An edge-optimized runtime and orchestration platform, VMware Edge Compute Stack delivers frictionless management of edge apps and infrastructure across many sites with limited resources. With its latest two releases, VMware Edge Compute Stack delivered critical capabilities to efficiently manage infrastructure and applications including Edge AI apps and workloads such as Small Language Models (SLMs) at dispersed sites, including:

- Zero-Touch Orchestration: VMware Edge Cloud Orchestrator simplifies deployment and application lifecycle management across multiple sites by leveraging GitOps and desired state management. By automating these processes, enterprises enable consistent and efficient operations, even with limited IT resources.

- Pull-Based Architecture: Hosts always initiate the communication to the management plane as a keepalive, and also to fetch any changes to its configuration. This architecture puts less burden on the management plane, allowing it to achieve a much higher scale.

- Edge Infrastructure and Application Monitoring: It configures metrics gathering and transmission for infrastructure, virtual machines, and Kubernetes-based workloads. Customers can achieve comprehensive local edge monitoring in minutes with the included sample implementation of industry-standard monitoring tools and pre-built dashboards.

These capabilities simplify deploying and managing Edge AI workloads enabling enterprises to more quickly realize the business benefits of their Edge AI investments. The recent release of VMware Edge Compute Stack 3.6 delivered additional new features to make it even easier to deploy and manage the edge at scale.

The Latest

For many B2B and B2C enterprise brands, technology isn't a core strength. Relying on overly complex architectures (like those that follow a pure MACH doctrine) has been flagged by industry leaders as a source of operational slowdown, creating bottlenecks that limit agility in volatile market conditions ...

FinOps champions crucial cross-departmental collaboration, uniting business, finance, technology and engineering leaders to demystify cloud expenses. Yet, too often, critical cost issues are softened into mere "recommendations" or "insights" — easy to ignore. But what if we adopted security's battle-tested strategy and reframed these as the urgent risks they truly are, demanding immediate action? ...

Two in three IT professionals now cite growing complexity as their top challenge — an urgent signal that the modernization curve may be getting too steep, according to the Rising to the Challenge survey from Checkmk ...

While IT leaders are becoming more comfortable and adept at balancing workloads across on-premises, colocation data centers and the public cloud, there's a key component missing: connectivity, according to the 2025 State of the Data Center Report from CoreSite ...

A perfect storm is brewing in cybersecurity — certificate lifespans shrinking to just 47 days while quantum computing threatens today's encryption. Organizations must embrace ephemeral trust and crypto-agility to survive this dual challenge ...

In MEAN TIME TO INSIGHT Episode 14, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud network observability... 

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 ...