Databricks announced the Databricks Lakebase is now generally available on AWS—introducing a new class of operational database that treats infrastructure as a flexible, on-demand service. According to ...
NVIDIA releases detailed cuTile Python tutorial for Blackwell GPUs, demonstrating matrix multiplication achieving over 90% of cuBLAS performance with simplified code. NVIDIA has published a ...
Abstract: High-Performance Computing (HPC) enables the efficient execution of computationally intensive tasks. However, the current HPC resource propagation process relies on manual configuration, ...
NVIDIA introduces CuTe DSL to enhance Python API performance in CUTLASS, offering C++ efficiency with reduced compilation times. Explore its integration and performance across GPU generations. NVIDIA ...
I’m encountering difficulties setting up Sedona 1.8 on Databricks (DBR 17.3 LTS). Is it a known compatibility issue between Sedona and Databricks DBR 17.3 LTS ? I used the following jars for spark 4.0 ...
I have followed https://sedona.apache.org/latest/setup/databricks/ and use Sedona within Python with spark.sql and it works fine. I now wish to scale up and use a ...
Abstract: This paper delves into the performance of computer vision algorithms based on Python in artificial intelligence face recognition. Facial recognition, as a key technology in the field of ...
Today, at its annual Data + AI Summit, Databricks announced that it is open-sourcing its core declarative ETL framework as Apache Spark Declarative Pipelines, making it available to the entire Apache ...
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