Find the right tools to take GPU-accelerated data analytics from development to production.
The NVIDIA RAPIDS™ Accelerator for Apache Spark automatically replaces viable operations with GPU-accelerated versions without any code changes. Iteratively design your workloads to optimize for performance and budget without any risk, since you can revert back to CPU-only infrastructure at any time. Developers can choose to access the RAPIDS Accelerator through open source code on GitHub, as a packaged container on the NVIDIA NGC catalog, or through an NVIDIA AI Enterprise subscription.
RAPIDS Accelerator for Apache Spark is available as part of NVIDIA AI Enterprise. Learn about pricing and licensing details.
Customers can get NVIDIA Business Standard Support through an NVIDIA AI Enterprise subscription which includes the RAPIDS Accelerator for Apache Spark. Business Standard Support offers service-level agreements, access to NVIDIA experts, and long-term support across on-prem and cloud deployments.
NVIDIA AI Enterprise includes Business Standard Support. For additional available support and services such as Business Critical Support, Technical Account Manager, training, and professional services, see the NVIDIA Enterprise Support and Service Guide.
The RAPIDS Accelerator for Apache Spark is packaged and freely available on GitHub, giving developers a quick and easy way to begin accelerating their ETL workloads.
For developers who are doing data analytics commercially, NVIDIA AI Enterprise provides a production-grade, secure, end-to-end software platform that includes NVIDIA RAPIDS Accelerator for Apache Spark, reference applications, and enterprise support to streamline adoption. It includes:
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