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To make things clearer let's start by answering questions like _"Which packages make up RAPIDS?"_ and _"Who is in the RAPIDS community?"_. | ||
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## The many projects of RAPIDS |
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This seems like a really useful way to convey to first-time users the world of RAPIDS (thinking of that PyData ecosystem image that gets passed around a lot), and I'm wondering if any of this can be applied to the about section of RAPIDS' main page, where some of these packages aren't mentioned?
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Thanks @charlesbluca.
What do you think @exactlyallan? The goal of this doc is to help explain some backround about RAPIDS from a deployment perspective, but perhaps some of this copy would be useful to put on https://rapids.ai?
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## Multi-node and multi-GPU deployments | ||
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As you move to larger datasets you will want to scale out to multiple GPUs and **multi-node deployments**. |
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What's the difference between mult-GPU and multi-node?
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Good point, does this make things clearer?
As you move to larger datasets you will want to scale out to multiple GPUs and **multi-node deployments**. | |
As you move to larger datasets you will want to scale out to multiple GPUs which may be spread over multiple nodes with **multi-node deployments**. |
Co-authored-by: Mike McCarty <[email protected]>
I often find myself having conversations around deploying RAPIDS where folks ask questions like:
I thought I'd draft up some general thoughts on answering some of these questions. Title, location, etc all TBC but thought I'd just throw something here for feedback.