#zax

3 posts

NVIDIA: Building a Low-Latency Earth-2 Nowcasting Pipeline with Earthmover

NVIDIA: Building a Low-Latency Earth-2 Nowcasting Pipeline with Earthmover

NVIDIA and Earthmover built a low-latency nowcasting workflow that turns Meteosat satellite observations into a two-hour nowcast using Earth-2 StormScope-EU, and serves it directly from versioned data through map tiles and SQL.

Negin Sobhani
Negin Sobhani

Senior Machine Learning Performance Engineer, NVIDIA

Aaron Spring
Aaron Spring

Data and AI Freelancer

Jussi Leinonen
Jussi Leinonen

Senior Solution Architect, NVIDIA

Marius Koch
Marius Koch

Senior Solution Architect, NVIDIA

Science data comes in tables and tensors

Science data comes in tables and tensors

Apache Iceberg comes to Arraylake. Tables now live alongside Icechunk arrays in the same catalog, under the same permissions, in your own buckets — queryable from DuckDB, Spark, Trino, Snowflake, and Zax-SQL.

Joe Hamman
Joe Hamman

CTO & Co-founder

Matt Iannucci
Matt Iannucci

Staff Engineer

Our compute roadmap: introducing Zax SQL

Our compute roadmap: introducing Zax SQL

We're introducing Zax, a new query and compute engine for multidimensional scientific data, and Zax-SQL, the first interface to it. Zax plans your computation for you, so you are no longer responsible for tuning chunk sizes, worker counts, and memory limits.

Ryan Abernathey
Ryan Abernathey

CEO & Co-founder

Brian Davis
Brian Davis

Head of Product

Joe Hamman
Joe Hamman

CTO & Co-founder

Deepak Cherian
Deepak Cherian

Principal Research Engineer

Sebastian Galkin
Sebastian Galkin

Head of Engineering