The DataStax Developers are excited to announce this BRAND NEW session!

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Organizations keep much of their high speed transactional data in fast NoSQL data stores like Cassandra. Traditionally, we point massively parallel processing analytics systems like Spark to obtain insights from this data. However, today's analytics ecosystem is quickly embracing AI and ML techniques whose computation relies heavily on GPUs.

So where does that leave us?

Nvidia has invested heavily in the CUDA developer toolkit to empower developers to take advantage of their GPUs. An ecosystem of tools called RapidsAI has emerged around Nvidia's CUDA APIs. RapidsAI takes common AL / ML APIs like pandas dataframes and scikit-learn and makes them available for GPU acceleration.

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Join this new workshop with the DataStax Developers and Nvidia where we will explore a cutting edge approach at processing Cassandra data directly from the RapidsAI ecosystem by reading Cassandra sstables directly into GPU device memory!

Why Attend

If you attend live you will get the chance to win some of our special Cassandra Community Swag. We will also offer you the choice of either:

1) a voucher that entitles you to take the DataStax certification for Apache Cassandra™ exam for FREE! OR 2) $300 credit to use on AstraDB - our Cloud-native Cassandra-as-a-Service platform. The perfect place to practice your new found Cassandra knowledge!

* In order to claim one of the giveaways, you will need to attend live. You cannot receive both giveaways. *

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Preparation

• If you plan to participate in the hands-on segment, you will need to install Docker on your machine. See the installation guide here

• Streaming links will be sent out prior to the workshop.

• Join our dedicated Discord server here - this is where we like to hang out and respond to all of your questions during the workshop.

• If you have any technical questions feel free to post them to our dedicated community space