In today’s evolving IT landscape, selecting the right storage architecture is critical for optimal performance, scalability, data governance, and cost-efficiency. Furthermore, AI workloads have uniquely influenced how we meet these demands from our storage infrastructure. This webinar provides a technical deep dive into three fundamental storage deployment models – on-premises, cloud, and hybrid – examining their architectures and operational trade-offs through the lens of two key concepts: indirection (accessing data through mapping layers that provide flexibility and abstraction) and redirection (rerouting data requests to enable failover, load balancing, and optimized performance).
Ceph is synonymous with block, file, and object storage at petabyte to exabyte scale, powering high performance computing, AI/ML workloads, and enterprise IT environments. As generative AI workloads accelerate, these users increasingly need more than traditional storage—they need native support for embedding data and nearest neighbor search to enable retrieval augmented generation at scale.
Today, this capability is often delivered through standalone vector databases, introducing new infrastructure, unfamiliar interfaces, and significant operational overhead. Operations teams and developers alike face the cost and complexity of deploying, securing, and maintaining yet another system alongside their existing storage platforms.
Ceph’s journey toward nearest neighbor search aims to change that. Ongoing research into vector storage formats, libraries, and databases is bringing semantic search closer to where enterprise data already lives. By exposing vector search capabilities through S3 Vectors, Ceph enables AI practitioners to use familiar cloud native tools, SDKs, and workflows, without introducing a separate vector database.
In this webinar, we will explore how LanceDB libraries power a vector search implementation in Ceph, delivered through S3 Vectors API actions. Attendees will see how Ceph can provide out of the box, billion scale, multi tenant nearest neighbor search that meets the needs of most RAG workloads while preserving the unified, software defined storage model enterprises already trust.
As power densities continue to rise in servers, thermal management is becoming a critical challenge. Traditional air cooling is increasingly strained in high-density environments, driving interest in more efficient approaches. These more efficient approaches touch all aspects of the server including the SSD.
In this webinar, Anthony Constantine and Scott Shadley examine the role of liquid cooling in modern SSD deployments. The session will cover key liquid cooling methods, their advantages in heat transfer and performance, and the emerging specification changes shaping the industry.
Join us to better understand how liquid cooling is shaping the future of SSDs and what it means for your storage infrastructure.
