With the breakneck pace of AI advancements, it’s no surprise that edge AI for enterprise WAN is gaining popularity. The advancements in resource management and security (which only AI can provide), bolstered by the widespread adoption of Industry 4.0 tech and latency-sensitive applications have led to products like Broadcom’s own VeloRAIN (VeloCloud Robust Artificial Intelligence Networking) offering. In this deep dive into edge AI for enterprise resource-constrained distributed networks in collaboration with Beecham Research; explore the marketplace and innovation triggers. Click to read this piece which includes features on:
- The global market size - With an estimated value of around $20 billion in 2024, per annum growth is expected to be around 25%, focused on Europe, Asia-Pacific and North America at around 90% of the market.
- Key drivers for the intelligent edge - Explore why Industry 4.0 adoption, latency-sensitive applications, scalability & cost considerations plus compliance & security concerns are the core drivers of edge AI.
- What the challenges are - challenges remain that negatively impact the implementation, management and scalability of such solutions like security concerns and network issues like bandwidth, reliability, power and data requirements.
- Where the innovation in edge AI is coming from – Developments in chipsets and sophisticated edge hardware are facilitating higher data loads and low-latency computing at scale. Where the tech was once constrained to basic detection, it’s now capable of real-time decision-making & predictive analysis using tools like LLM and SLM.
- The agentic AI model - Learn how innovators are balancing the performance and complexity of these new models through efficient encoding, model cooperation, prioritisation, edge storage and dynamic workload distribution.
Combined with an exciting feature on VeloCloud SD-WAN and VeloRAIN, Broadcom’s new network architecture for AI; this report provides an ideal mix of foundational information with case studies & use cases as well. Click below to access it now.