TensorStore for High-Performance, Scalable Array Storage
Summary
TensorStore is an open-source C++ and Python library for working with massive n‑dimensional arrays, providing a uniform API over formats like Zarr and N5 and backends like GCS, local filesystems, HTTP, and in‑memory storage, with ACID transactions and async I/O. For ML and scientific developers, it’s a practical way to manage petascale datasets and large model checkpoints (e.g., PaLM) without custom sharding logic, while keeping read/write concurrency and performance under control. ([ai.googleblog.com](https://ai.googleblog.com/2022/09/tensorstore-for-high-performance.html))
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