Geyser Data's Tape-as-a-Service model becomes significantly more powerful when deployed on Shakudo’s infrastructure. It runs in your environment with built-in access control, data federation, and workload orchestration, stitching easily into any AI pipeline. Data archived with Geyser becomes queryable and retrievable across tools without custom engineering to bridge software or secure endpoints.

Without Shakudo, integrating Geyser often requires teams to build and maintain connectors, scripts, and access policies to make data usable across projects—slowing adoption and limiting value. On Shakudo, Geyser is one of many interoperable services, enabling engineers and analysts to instantly archive or retrieve massive datasets in sustainable and cost-efficient ways, with zero added DevOps complexity.

Organizations using Geyser on Shakudo unlock sustainable archiving while accelerating model development cycles, turning previously unreachable cold data into active inputs for LLM training, trend detection, or regulatory compliance scans in a fraction of the time it took before.