Uploaded May 2026 | Updated September 2026, 2 weeks ago

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Language Models are driving petabyte-scale growth? Traditional in-memory indexing strategies quickly exhaust host memory as vector collections expand. DiskANN (Disk-Accelerated Approximate Nearest Neighbor) is a hybrid vector search algorithm developed by Microsoft, designed to offload portions of the search index to NVMe SSDs. It enables scalable approximate nearest neighbor search by intelligently managing a multi-level index—keeping latency-critical portions in memory and using SSDs for the rest, without significant performance degradation.
Attendees will leave with a critical understanding of when and how NVMe-augmented indexing makes sense, plus insights into tuning SSD parameters to sustain high service levels as vector databases continue to scale.

Presented by Alessandro Goncalves | Solidigm - Solutions Architect

Learn More:
• SDC: StorageAI Website: snia.org/sniadeveloper/storageai
• SNIA Website: snia.org
• SNIA Educational Library: snia.org/library
• X: twitter.com/SNIA
• LinkedIn: linkedin.com/company/snia