BlazingSQL is a SQL engine on GPU-accelerated DataFrames. Built on RAPIDS and Apache Arrow.
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BlazingSQL is a GPU accelerated SQL engine built on top of the RAPIDS data science framework. RAPIDS is a collection of open-source libraries for end-to-end data science pipelines entirely in the GPU. BlazingSQL extends RAPIDS and enables users to run SQL queries on Apache Arrow in GPU memory.
Prerequisites
Usage
docker pull blazingdb/blazingsql
docker run \
--runtime=nvidia --rm \
-p 8888:80 \
-p 8787:8787 \
-p 8786:8786 blazingdb/blazingsql:latest
Open your web browser, and navigate to:
http://localhost:8888
or
http://{IPADDR}:8888 (e.g.) http://12.34.567.89:8888
Note: Jupyter password is: rapids
You will find an example notebook that will run a demo test. They are under /blazingdb/notebooks/
More information https://docs.blazingdb.com/docs/using-blazingsql
Content type
Image
Digest
Size
4.8 GB
Last updated
about 5 years ago
docker pull blazingdb/blazingsql