# KServe

KServe is an open-source model inference platform that runs on Kubernetes. Its core is a custom resource, InferenceService, and a controller that creates the underlying Deployments, Knative Services and routing. It offers Knative serverless, RawDeployment and optional ModelMesh modes, with features for serving large language models.

Page: https://slateindex.ai/brand/kserve · data of 2026-11-02

## Facts

- Founded: 2019
- Company type: Open source project
- Deployment: Kubernetes, with Knative serverless (default), RawDeployment or optional ModelMesh modes

## Products

- KServe: Kubernetes model inference platform built around the InferenceService resource and its controller, with serverless (Knative), RawDeployment and optional ModelMesh deployment modes.

## Rankings

| Category | Rank | Visibility | Mentions |
|---|---|---|---|
| MLOps Platforms | 26 of 61 | 2.2 | 7 |

## By engine

| Engine | Visibility | Mention rate |
|---|---|---|
| chatgpt | 2.8 | 11.1% |
| google_ai_mode | 3.0 | 11.1% |
| perplexity | 0.9 | 3.7% |

## Definitions

- Visibility (0–100): how often and how high AI answers name the brand, weighted by position.
- Mention rate: share of collected AI answers that name the brand.
- Share of voice: the brand's mentions as a share of all brand mentions in the category.
- Citation authority: share of answers naming the brand that cite the brand's own site.

Cite as: SlateIndex, “KServe AI visibility profile”, https://slateindex.ai/brand/kserve, data of 2026-11-02. Licence: CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/).