Wasabi AiR
Wasabi Technologies' AI-augmented object storage tier — facial recognition, speech-to-text, OCR, and logo detection run inline as objects ingest, generating per-second searchable JSON metadata. Flat $6.99/TB/month, zero egress, AI compute absorbed into the storage rate.
Summary
Wasabi Technologies' AI-augmented object storage tier — facial recognition, speech-to-text, OCR, and logo detection run inline as objects ingest, generating per-second searchable JSON metadata. Flat $6.99/TB/month, zero egress, AI compute absorbed into the storage rate.
The first non-hyperscaler "intelligent storage" tier. Distinct from AWS Rekognition / S3 Vectors (separate service, separate billing) by collapsing AI tagging into the bucket itself — no egress to a tagging API, no metadata-write-back pipeline.
- AiR is a tier of Wasabi, not a separate product — bucket-level opt-in, not account-level.
- Inference quality is service-grade (facial / OCR / speech), not custom-model territory. For domain-specific tagging, the standard out-of-bucket pipeline still applies.
- Free egress applies only when downloading source media; metadata index queries follow standard pricing.
is_aWasabi — packaged as a storage tier on the Wasabi platformenablesRAG over Structured Data — searchable per-second metadata supports agent retrievalsolvesHigh Cloud Inference Cost — bundled inference, not per-call billedscoped_toMultimodal Object Storage
Definition
An AI-augmented object storage tier from Wasabi Technologies, launched 2025–2026, that runs facial recognition, speech-to-text, OCR, and logo detection inline against media as it ingests into Wasabi buckets — bundling what was historically a separate AI-tagging service into the storage subscription. Generates a per-second searchable JSON metadata index attached to each object. Priced at a flat **$6.99/TB/month** with zero egress and the AI compute absorbed into the storage rate.
Multimodal AI workflows traditionally require pulling petabytes out of cold storage, running them through a third-party tagging API, and writing the metadata back — paying egress twice and stitching the pipeline manually. Wasabi AiR collapses that into the storage tier itself, eliminating egress, the per-API charge, and the pipeline glue. The result is the first **"intelligent storage"** offering at non-hyperscaler pricing.
Sports/media/entertainment archives needing scene-level search, multimodal RAG pipelines over video and audio corpora, training data preparation for vision and speech models, compliance archives that must support second-by-second discovery for litigation hold.
Connections 9
Outbound 8
scoped_to2is_a1implements1Inbound 1
enables1Resources 2
Wasabi's launch announcement detailing the AI auto-tagging feature set (facial recognition, speech-to-text, OCR, logo detection) and the $6.99/TB/month inclusive pricing.
Press release framing AiR for sports/media/entertainment archives — provides the second-by-second searchable JSON metadata claim and zero-egress positioning.