Announced at Ignite 2021: Speed up data processing on Apache Spark in Azure Synapse with NVIDIA RAPIDS
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What's new in Apache Spark 3.0 - GPU-aware scheduling on waitingforcode.com - articles about Apache Spark
![Figure 1 from Spark-GPU: An accelerated in-memory data processing engine on clusters | Semantic Scholar Figure 1 from Spark-GPU: An accelerated in-memory data processing engine on clusters | Semantic Scholar](https://d3i71xaburhd42.cloudfront.net/84993fad8fabe361cf5d69e05ac5045cf6ac99ae/2-Figure1-1.png)
Figure 1 from Spark-GPU: An accelerated in-memory data processing engine on clusters | Semantic Scholar
![GPU-Accelerated Spark XGBoost - A Major Milestone on the Road to Large-Scale AI | NVIDIA Technical Blog GPU-Accelerated Spark XGBoost - A Major Milestone on the Road to Large-Scale AI | NVIDIA Technical Blog](https://developer-blogs.nvidia.com/wp-content/uploads/2019/10/Spark.png)
GPU-Accelerated Spark XGBoost - A Major Milestone on the Road to Large-Scale AI | NVIDIA Technical Blog
![Accelerating Machine Learning Workloads and Apache Spark Applications via CUDA and NCCL – Databricks Accelerating Machine Learning Workloads and Apache Spark Applications via CUDA and NCCL – Databricks](https://i.ytimg.com/vi/IWsyGBFKSz8/maxresdefault.jpg)
Accelerating Machine Learning Workloads and Apache Spark Applications via CUDA and NCCL – Databricks
![Existing software stacks: (a) SPARK-GPU and (b) SPIN GPUDirect Storage. | Download Scientific Diagram Existing software stacks: (a) SPARK-GPU and (b) SPIN GPUDirect Storage. | Download Scientific Diagram](https://www.researchgate.net/publication/345892925/figure/fig1/AS:957989083156480@1605413804454/Existing-software-stacks-a-SPARK-GPU-and-b-SPIN-GPUDirect-Storage.jpg)