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Nominate arsenetar for the 2025 SC EU (#1668)
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* Add CoreWeave to ADOPTERS.MD

* Nominate arsenetar for the 2025 SC EU
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arsenetar authored Feb 20, 2025
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1 change: 1 addition & 0 deletions ADOPTERS.MD
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| Cloudera | Cloudera AI Inference Service | Generally Available | [link](https://www.cloudera.com/products/machine-learning/ai-inference-service.html) |
| Control Plane Corporation* | Control Plane Multi-Cloud Platform | Production | [link](https://www.controlplane.com/) |
| Conxai Technologies* | SiteLens | Production | [link](https://www.conxai.com/) |
| CoreWeave | | Production | [link](https://coreweave.com/) |
| deepc.ai* | | Production | [link](https://www.deepc.ai/) |
| EASE lab @ University of Edinbugh* | [vHive](https://github.com/ease-lab/vhive ) | Production | [link](https://easelab.inf.ed.ac.uk) |
| Fulcrum* | Fulcrum | Production | [link](https://www.fulcrumapp.com/) |
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31 changes: 31 additions & 0 deletions elections/2025-SC-EU/candidate-arsenetar.md
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-------------------------------------------------------------
name: Andrew Senetar
ID: arsenetar
info:
- affiliation: CoreWeave
-------------------------------------------------------------

## Contributions to Knative

I have made several direct contributions to fix several issues we have encountered in our use of
Knative in our environments:

- [Serving PR 14303](https://github.com/knative/serving/pull/14303)
- [Serving PR 14347](https://github.com/knative/serving/pull/14347)
- [Serving PR 14543](https://github.com/knative/serving/pull/14543)
- [Kourier PR 1199](https://github.com/knative-extensions/net-kourier/pull/1199)

## Why I'm Running

At CoreWeave we provide a semi-managed Serverless solution in one of our environments which runs on
top of Knative Serving with some customers leveraging KServe as well on top. In other environments,
we provide a standardized installation customers can use to install Knative Serving with our
recommended defaults tailored for generative AI inference. The primary use-case for our customers
and us revolves around generative AI inference which has some unique challenges compared to
traditional serverless workloads.

I work on our Machine Learning (ML) infrastructure for training and inference to support the
use-cases of our customers. I would like to be able to provide more direct feedback from these
use-cases to Knative as well as help us better leverage and interact with the project going
forward. We have several initiatives around inference, and historically Knative Serving has been a
critical component to the solutions.

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