By Joe Hamman
Our takeaways from the Cloud-Native Geospatial conference on Zarr’s surging adoption and its impact on the future of Earth Observation data. Our team just returned from an action-packed week at the Cloud-Native Geospatial conference in beautiful Snowbird, Utah, and the key takeaway was unmistakable: Zarr adoption is surging. It’s no longer confined to weather and … Continued
By Joe Hamman
The Earthmover team is heading to Snowbird, Utah for the Cloud Native Geospatial (CNG) Conference 2025 this week. For our part, we’ll be there to talk about our recent open-source work on Xarray, Zarr, and Icechunk – including leading a 3-hour workshop – and to spread the word about the Earthmover Platform, our fully managed … Continued
By Joe Hamman
Note: This post was originally published on the Zarr developer blog. After more than a year of development, we’re thrilled to announce the release of Zarr-Python 3! This major release brings full support for the Zarr v3 specification, including the new chunk-sharding extension, major performance enhancements, and a thoroughly modernized codebase. Whether you use Zarr to managing … Continued
By Joe Hamman
We set up a high-performance PyTorch dataloader using data stored as Zarr in the cloud Machine learning has become essential in the utilization of weather, climate, and geospatial data. Sophisticated models such as GraphCast, ClimaX, and Clay are emerging within these domains. The advancement of these models is greatly influenced by the widespread availability of cloud computing resources, particularly … Continued
