Your Team’s Data Science Pipeline 5x Faster at Less Cost

Intro
Evaluate and Migrate
Free Consultation

Intro
Evaluate and Migrate
Free Consultation

GPU-Accelerated Apache Spark

The NVIDIA RAPIDS™ Accelerator for Apache Spark automatically replaces viable operations with GPU-accelerated versions without any code changes or risk, since you can revert back to your previous infrastructure at any time.

Speed Up Execution Time

Run existing Apache Spark 3.x jobs 5x faster than equivalent CPU-only systems with up to 75% less cost.

Reduce Infrastructure Costs

Do more with less: Spark on NVIDIA® GPUs completes jobs faster compared to CPU only.

Full Enterprise Support

Mission-critical support, bug fixes, and professional services available through NVIDIA AI Enterprise.

Evaluate Your Workloads for GPU Acceleration

Evaluate and migrate your Apache Spark workloads in just three simple steps with the Accelerated Spark Analysis Tool.

Qualify

Identify and estimate the cost savings and acceleration potential of your Spark workloads based on an analysis of the log files.

You’ll receive a list of apps recommended for GPU acceleration with estimated savings and speedups.

Bootstrap

Get recommended configuration parameters for GPU acceleration based on the Spark cluster shape.

Tune

Optimize the GPU-acceleration configuration based on the initial bootstrap job run using Spark event logs.

You’ll receive recommended configuration settings for each application.

See What You’ll Save

Let’s unpack your potential speedups and savings in a free consultation.

Schedule a Free TCO Consultation

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