As organizations increasingly deploy AI solutions, I am seeing more and more that the strategic placement of data—particularly at the edge—is becoming paramount to unlocking AI’s full potential.

This is a viewed shared by our partners at Riverbed, as highlighted in a recent white paper, Accelerating AI and Data Movement at the Edge. Edge computing enables businesses to perform complex operations at production sites by positioning compute resources nearer to users and operations. This is especially critical for applications requiring real-time AI processing and low latency, facilitating swift decision-making where it matters most.

However, edge computing is not a standalone solution. It necessitates a bidirectional flow of data between edge devices and central systems—be it data centers or cloud-based services. While data generated at the edge is processed locally, pertinent information is transmitted to central systems for further analysis, storage, or complex processing tasks. Conversely, these central systems relay processed data, updates, or instructions back to the edge devices, ensuring they operate with the most current information and can adjust their operations accordingly.

Riverbed’s SteelHead RS is designed to improve edge computing data movement, SteelHead RS ensures resilient edge data delivery and synchronization. It supports secure, centralized data management and guarantees high performance at the edge, delivering a seamless experience across distributed environments—even during network outages or degradations.

Key benefits of SteelHead RS include:

  • Performance: SteelHead RS optimizes data transfer performance, achieving speeds up to 100 times faster. By caching frequently accessed data locally, it ensures that edge devices operate efficiently without constant retrievals from central locations.
  • Agility and Visibility: It empowers efficient and secure edge processing, maintaining copies of business-critical data at the edge and providing near real-time data synchronization between the edge and the datacenter. This ensures business continuity and enhances disaster recovery readiness.

In the quest to harness AI’s transformative power, the strategic placement and movement of data are critical. Edge computing, complemented by robust solutions like Riverbed’s SteelHead RS and strategic partnerships with entities like Teneo to design, deploy and maximize the value of RS offers a pathway to efficient, secure, and agile AI deployments. By ensuring that the right data is in the right place at the right time, organizations can unlock unprecedented levels of innovation and operational excellence.

Author:
Brett Ayres,  CTO, Teneo
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