“VeloRAIN is the foundation of our AI networking innovation, empowering our entire portfolio to better address the demands of enterprise AI workloads,” said Sanjay Uppal, vice president and general manager, VeloCloud Division, Broadcom. “By harnessing the advanced capabilities of VeloRAIN, AI workloads from distributed inferencing and agentic peer-to-peer applications to upstream heavy RAG transactions will see improved application-based QoE and security across all endpoints of the enterprise. We look forward to collaborating with our global partner ecosystem via Titan, our new partner program to provide more enterprises with the next generation of infrastructure necessary to support such current and future AI workloads.”
New VeloRAIN architecture to accelerate and optimise enterprise AI workloads
Broadcom announced a significant advancement in AI-powered networking delivered by the VeloCloud product portfolio. The new VeloRAIN innovations will enhance how enterprises build and manage AI-driven networks, with smarter application and traffic prioritisation. Capabilities will include:
- Detection of AI applications through AI and Machine Learning (ML): VeloRAIN will introduce new intelligent capabilities to identify encrypted application traffic that has been previously unparsable for network optimisation solutions. This simplifies the process of identifying and prioritising new edge AI applications, and enables enhanced quality of service (QoS) and experience for modern applications.
- Enhanced network efficiency and traffic optimisation: VeloRAIN will introduce new channel estimation intelligence for networking over wireless links including 5G and satellite. Whether the wireless link is used as the primary link or in conjunction with a primary wired link, these innovations help to enable fiber-like QoS in the face of dynamically changing network conditions. Additionally, enterprises will benefit from an accelerated networking set up time in a branch office or remote site.
- AI-driven dynamic policy framework for application prioritisation: New applications will be automatically assigned business priorities, streamlining network management, and assuring critical applications get the necessary attention without manual intervention. Dynamic Application-Based Slicing, or DABS, that assures quality of experience (QoE) per application across multiple disparate underlying networks, whether they support network layer slicing or not. DABS includes the addition of user profiles, allowing traffic prioritisation based on a user’s identity and attributes. This will help ensure that key users receive the QoE they need, enhancing overall performance and user experience. In addition, the policy framework will be able to utilise the user identity to further prioritise traffic.
These latest innovations in AI-driven networking enabled by VeloRAIN will deliver unprecedented visibility, prioritisation, and automation for enterprise networks—allowing organisations to operate more efficiently and deliver superior user experiences.
New VeloCloud edge appliances maximise performance, resiliency and support workloads at scale
Broadcom unveiled the new VeloCloud Edge 4100 and 5100 appliances. Designed for large branch sites, regional hubs, and data centers, the VeloCloud Edge 4100 and 5100 appliances will offer a rich set of SD-WAN, security, and AI networking capabilities to help enterprises support their most demanding environments:
- The VeloCloud Edge 4100 appliance will offer up to 30 Gbps throughput but can connect up to 12,000 tunnels—up to a 300% improvement in performance and scalability over its predecessors (3400 & 3800/3810). (4)
- The VeloCloud Edge 5100 appliance will offer up to 100 Gbps throughput and can connect up to 20,000 tunnels—introducing a net-new entry for super high-performance, and scalable deployments
The VeloCloud Edge 4100 and 5100 appliances will simplify the network architecture by requiring the deployment of fewer devices to scale network and security services to support growing business needs. These platforms will support clustering technology to scale beyond 100 Gbps with ultra-low latency as needed. In addition, the appliances will deliver robust resilience and fast failover using VeloCloud’s proven technology in the enterprise to help customers better support edge AI and non-AI workloads at scale.
Broadcom invests in partner ecosystem success with new program for MSPs
Broadcom announced the new Broadcom Advantage Partner Program for VeloCloud Partners—Titan—which replaces the legacy VMware VeloCloud Partner Program. The Titan partner program is built for MSPs and introduces three tiers (Pinnacle, Premier, and Registered) with benefits designed to help partners grow their businesses through these key elements:
- Performance-based rewards, including joint solution development, market recognition, and stable and predictable business growth.
- Exclusive access to innovative technology and routes to market.
- New licensing model allows for portability of licenses, simplicity of management, and price stability.
- Service creation program focused on core value drivers, vertical alignment, and higher margins.
- New ‘White label’ offering to allow our top tier partners to grow their VeloCloud base through regional and specialised channel partners.
Partners will deliver the VeloCloud SD-WAN portfolio as managed services to a broad set of enterprise customers globally. Partners can deliver innovative services to their end users by establishing or expanding their wide area network practice by leveraging the proven VeloCloud portfolio. Customers will benefit from the expertise, value, and resilience of partners to better support their highly distributed, latency-sensitive workloads, applications, and devices at the edge. Additionally, customers will gain from new VeloRAIN enhancements to the VeloCloud product portfolio—providing the requisite connectivity, deployment, runtime, and lifecycle management capabilities to support customers’ AI and non-AI workloads at the edge.
“State of the Edge” report reveals momentum of AI workloads at the edge
According to new research by Broadcom, the driving factor for the adoption of edge solutions and AI workloads at the distributed edge is network connectivity issues across locations (57%). And when organisations implement these edge solutions, the top benefit they plan to achieve is faster response times for latency-sensitive applications (68%) and improved bandwidth/reduced network congestion (65%). By providing faster bandwidth and more reliable connections at the edge, enterprises can more efficiently process data leading to faster, smarter decision-making and further encourage edge and AI workload deployments. This “State of the Edge” report is based on VeloCloud Edge telemetry and a survey of 192 respondents across North America, South America, Africa, Europe, Asia, Australia and New Zealand. Broadcom conducted the survey in September and October of 2024.