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Webinars

Webinars On Demand

Webinars
10:00 am PT / 1:00 pm ET

AI systems are only as powerful as the data foundations that support them. As applications increasingly rely on vectors, tables, graphs, and long-lived datasets, object storage must evolve to do more than simply hold data—it must actively support how AI applications coherently access, move, and reuse it over time.

In this webinar we will examine the architectural patterns shaping modern AI-ready object storage. We will explore how object storage is designed to support emerging AI data types alongside traditional unstructured data, while remaining scalable, durable, and cost efficient at cloud scale. Central to this evolution is tighter integration between data lifecycle management and application workflows, enabling data to flow seamlessly from ingestion and training to inference, governance, and long-term retention.

Attendees will gain practical approaches to building AI-ready storage systems that deliver scale, efficient access, and long-term data reuse.

Webinar
9:00 am PT / 12:00 pm ET

Getting started with an agentic harness to troubleshoot your infrastructure is much simpler than you think. You don't need "Skills," and you don't need "MCP servers exposing everything as a tool." You can just start with any agentic runtime and add capabilities as they are needed. You also don't need to automate everything; in fact, “how to bring down your infrastructure with fully autonomous agents” is the opposite of what this talk is about. We want to show you how to leverage AI to decrease MTTR (mean time to resolution) and how to proactively monitor your infrastructure. That said, fully autonomous operations will be treated as a special case, and we will explain how you can begin identifying those use cases.

9:00 at PT / 12:00 pm ET

Traditional storage TCO models focus on hardware, capacity, and power costs. For today's AI, analytics, and data-intensive workloads, performance can have just as much impact on overall cost.

Join us as we introduce a new performance-based approach to storage TCO. Learn how factors such as workload completion time, CPU utilization, energy consumption, and effective capacity influence the true cost of storage. The session will include a demonstration of SNIA's new TCO tool and show how it can help organizations make more informed storage decisions.

snia

The member 🡥 companies of the SNIA Compute, Memory, and Storage Initiative (CMSI) support the industry drive to combine processing with memory and storage, and to create new compute architectures and software to analyze and exploit the explosion of data creation over the next decade.