From 512d77374aa2f1cb4e852fae6fe8e3ab5a194028 Mon Sep 17 00:00:00 2001 From: Sameer Raheja Date: Mon, 22 Jun 2020 13:37:59 -0700 Subject: [PATCH 1/2] Fix link to RAPIDS cudf in index.md --- docs/index.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/index.md b/docs/index.md index d7fafdb0b67..49e0f7fff23 100644 --- a/docs/index.md +++ b/docs/index.md @@ -7,5 +7,5 @@ description: This site serves as a collection of documentation about the RAPIDS --- As data scientists shift from using traditional analytics to leveraging AI applications that better model complex market demands, traditional CPU-based processing can no longer keep up without compromising either speed or cost. The growing adoption of AI in analytics has created the need for a new framework to process data quickly and cost efficiently with GPUs. -The RAPIDS Accelerator for Apache Spark combines the power of the RAPIDS cuDF library and the scale of the Spark distributed computing framework. The RAPIDS Accelerator library also has a built-in accelerated shuffle based on UCX that can be configured to leverage GPU-to-GPU communication and RDMA capabilities. +The RAPIDS Accelerator for Apache Spark combines the power of the RAPIDS cuDF library and the scale of the Spark distributed computing framework. The RAPIDS Accelerator library also has a built-in accelerated shuffle based on UCX that can be configured to leverage GPU-to-GPU communication and RDMA capabilities. From e67e8dfd4441705427ad5303327996e0ae22dc94 Mon Sep 17 00:00:00 2001 From: Sameer Raheja Date: Mon, 22 Jun 2020 13:57:16 -0700 Subject: [PATCH 2/2] change http: to https: --- docs/index.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/index.md b/docs/index.md index 49e0f7fff23..aed4afce6d9 100644 --- a/docs/index.md +++ b/docs/index.md @@ -7,5 +7,5 @@ description: This site serves as a collection of documentation about the RAPIDS --- As data scientists shift from using traditional analytics to leveraging AI applications that better model complex market demands, traditional CPU-based processing can no longer keep up without compromising either speed or cost. The growing adoption of AI in analytics has created the need for a new framework to process data quickly and cost efficiently with GPUs. -The RAPIDS Accelerator for Apache Spark combines the power of the RAPIDS cuDF library and the scale of the Spark distributed computing framework. The RAPIDS Accelerator library also has a built-in accelerated shuffle based on UCX that can be configured to leverage GPU-to-GPU communication and RDMA capabilities. +The RAPIDS Accelerator for Apache Spark combines the power of the RAPIDS cuDF library and the scale of the Spark distributed computing framework. The RAPIDS Accelerator library also has a built-in accelerated shuffle based on UCX that can be configured to leverage GPU-to-GPU communication and RDMA capabilities.