Edge AI VMware Explore

Continue the Edge AI Conversation with Sanjay Uppal at VMware Explore Barcelona

At VMware Explore 2024 Barcelona on November 5, Sanjay Uppal, VP and GM of VMware’s Software-Defined Edge division, will host a powerful session exploring the incredible potential of edge AI and its role in transforming industries like retail and manufacturing. While AI tools are vital, the true potential of edge AI is realized only when supported by robust, AI-ready infrastructure. The session When the Edge Becomes the Mainstream: What’s Next in Software-Defined Edge AI will highlight how VMware’s software-defined edge (SDE) provides the necessary framework to unlock the full benefits of AI for faster insights, enhanced customer experiences, and increased operational efficiency.
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The business value of edge AI

Edge AI refers to the execution of AI workloads outside traditional data centers, closer to where data is generated. As AI continues to expand across all industries, businesses are turning to edge AI to power real-time data processing on devices such as robots and cameras. The session will explore how industries are leveraging AI for innovation. 93% of manufacturers already consider AI crucial for growth, and 80% of retail executives expect widespread AI automation by 2025. This level of edge AI adoption drives applications like real-time inventory management, self-service checkout, and computer vision security systems—delivering tangible business value.

VMware’s software-defined edge stack is purpose-built for edge AI deployment. Imagine it as a layered solution, like your favorite sandwich cookie: the top layer, VMware Edge Compute Stack, runs AI workloads directly at the edge, supporting applications like video analytics and robotics. The bottom layer, VMware Telco Cloud Platform, serves as the network foundation, enabling the network to meet the demands of AI applications. Sandwiched between these is the middle layer, VMware VeloCloud SD-WAN, the intelligent overlay that adapts to the real-time needs of edge AI workloads by optimizing network performance and quality of service.

The session will showcase how these layers streamline the management of complex workloads, from Radio Access Network (RAN) functions to AI-driven robots on the factory floor. One of the session’s highlights will be the rise of fixed wireless access (FWA) alongside satellite networks—two of the fastest-growing network underlays for Edge AI. VMware’s newest VeloCloud SD-WAN Edge devices, announced at VMware Explore 2024 in Las Vegas, will further support these emerging technologies and enhance edge AI capabilities.

Edge AI in the network

A key takeaway from this session will be understanding what makes edge AI workloads unique. For example, chatbots generate a flood of new data produced at all points of the network that must be processed and understood. This is part of a broader trend in edge AI where real-time, peer-to-peer communication and data aggregation are increasingly necessary as AI workloads shift to the edge​. VMware’s global footprint, with nearly five trillion data points collected annually, provides unparalleled insight into how and where AI applications run, ensuring optimal network performance for these emerging workloads.

AI workloads at the edge require low-latency, resilient networks. As models shrink and communication becomes more peer-to-peer, there’s less tolerance for packet loss. To address these challenges, VMware has enhanced its award-winning Dynamic Multipath Optimization™ (DMPO) with AI. DMPO enhances network performance by prioritizing and dynamically routing traffic, especially for mission-critical edge AI applications​. AI enhancement will make it faster and smarter in routing traffic and adjusting to network conditions. This ensures that both AI and non-AI applications perform efficiently, even in the most demanding edge environments.

The session will explore the integration of Symantec PoPs and VeloCloud PoPs into a unified SASE solution. This combined approach strengthens security for edge AI workloads, blending zero-trust principles with SD-WAN and secure edge applications, guaranteeing that edge AI workloads remain secure, efficient, and resilient.

Your ticket to the software-defined future

As edge AI continues to expand across industries, the need for adaptive, responsive network infrastructure is more critical than ever. VMware’s software-defined edge solutions enable businesses to meet these demands, offering seamless, real-time data processing whether on factory floors or in retail settings. By attending this session, you’ll gain valuable insights into how edge AI and the VMware software-defined edge can transform your business, delivering enhanced connectivity, security, and performance at every level.

Don’t miss out on this opportunity to dive into the future of edge AI at VMware Explore Barcelona. Register today and be part of the next wave of AI-driven innovation!