KServe Adopters

KServe is trusted by organizations worldwide for production machine learning model serving. Here are some of the companies and projects using KServe to power their ML infrastructure.

Enterprise Adopters

This section contains a list of organizations who are using KServe either in production, or providing integrations or deployment options with their Cloud or product offerings.

Organization	Contact	References	Adoption Level
Advanced Micro Devices	Varun Sharma
Alauda	Wu Yi
Amazon Web Services	Ellis Tarn	KubeCon Talk	Production
Bloomberg	Dan Sun	Bloomberg Inference Platform	Production
Cars24	Swapnesh Khare
Charmed Kubeflow from Canonical	Daniela Plasencia	KubeCon Panel
Cisco	Krishna Durai
Cloudera	Zoram Thanga	KubeCon Talk	Production
CoreWeave	Peter Salanki
Deeploy	Tim Kleinloog	Blogpost
Gojek	Willem Pienaar
Halodoc ID	Joinal Ahmed
Hewlett Packard Enterprise (HPE)	Jerry Harrow
Hypermode	Kevin Mingtarja
IBM	Nick Hill	IBM Watson	Production
Inspur	Qingshan Chen
Intuit	Rachit Chauhan
Kubeflow	Yuan Tang	KServe Integration	Production
Google Cloud	James Liu
Max Kelsen	Jacob O'Farrell
Naver	Mark Winter	Integration
Nuance	Jeff Griffith
Nutanix	Johnu George		Production
NVIDIA	David Goodwin	NVIDIA NIM, KubeCon Talk, Blogpost	Production
One Convergence	Subra Ongole
PITS Global Data Recovery Services	Pheianox
Red Hat	Yuan Tang	Red Hat OpenShift AI, KubeCon Talk, Blogpost	Production
Seldon	Alex Housley
Patterson Consulting	Josh Patterson
Samsung SDS	Hanbae Seo
Striveworks	Jordan Yono
Upstage	JuHyung Son
ZenML		ZenML Integration
Zillow	Peilun Li	ML Model Serving	Production

Getting Started

Interested in joining the KServe community? Here's how to get started:

1. Try KServe: Follow our quick start guide
2. Join the Community: Connect with us on Slack
3. Contribute: Check out our GitHub repository
4. Share Your Story: Let us know how you're using KServe!

Add Your Organization

If your organization is using KServe and would like to be listed here, please:

1. Submit a pull request to our website repository.
2. Include your organization name and use case.
3. Please keep the list in alphabetical order.
4. Provide any relevant metrics or success stories.

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The organizations listed here have publicly shared their use of KServe or have given permission to be mentioned. This list is not exhaustive and represents a subset of the KServe community.