EKS deployment doc #17
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LynseyFabel
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Apr 20, 2022
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| ## Scale the cluster | ||
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| As deployed above, the EKS cluster only provisions a single GPU node, although the given configuration permits up to 8 nodes. While a single GPU can handle a [large volume of requests](https://docs.nvidia.com/deeplearning/riva/user-guide/docs/asr/asr-performance.html), the cluster can easily be scaled with more nodes. |
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if this is to live in the Riva User's Guide, we should change this link to a relative link.
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Agreed. Leaving this unresolved for now pending Arun's decision.
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This issue is generic and we have a meeting tom with Jason to sort this out.
Merging this PR now.
Tracking this issue in https://jirasw.nvidia.com/browse/JARS-2014
NikhilSrihari
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Apr 22, 2022
* Hindi ASR tutorial markdown (#15) * nb to md * fixes based on nikhil's review * JARS-2037 and JARS-2038 (#18) * JARS-2037 and JARS-2038 * Delete ipynb checkpoint * Review updates Co-authored-by: nsrihari <nsrihari@nvidia.com> * EKS deployment doc (#17) * EKS deployment doc * Revisions for style consistency and review feedback Co-authored-by: Ashish Sardana <ashishsardana21@gmail.com> Co-authored-by: nsrihari <nsrihari@nvidia.com> Co-authored-by: Chris Parisien <64271260+cparisien@users.noreply.github.com>
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Revised the EKS deployment doc from the main Riva docs. Restructured the flow so it's more clear, and corrected a fair number of steps based on experience deploying TBYB.