---
title: Integrations | Vantage Compute
canonical: 'https://www.vantagecompute.ai/integrations/'
description: >-
  The software Vantage Compute runs and connects to: NVIDIA Run:ai, NeMo, NIM
  and Dynamo, KServe, Kubeflow, Ray, JupyterLab, Spark, and VAST, WEKA and DDN
  storage.
updated: '2026-11-14'
---
Integrations

# What Vantage Compute Works With

The software Vantage Compute runs and connects to: NVIDIA Run:ai, NeMo, NIM and Dynamo, KServe, Kubeflow, Ray, JupyterLab, Spark, and VAST, WEKA and DDN storage.

[Book Demo](https://www.vantagecompute.ai/contact/)

## GPU orchestration

### NVIDIA Run:ai

Deploy NVIDIA Run:ai into a Kubernetes cluster that Vantage Compute manages, and open the Run:ai interface from the Vantage Compute interface.

## Training

### NVIDIA NeMo

Train and fine-tune models with NVIDIA NeMo, on the GPUs you already have.

### Kubeflow

Run Kubeflow on your own GPU clusters, under the same identity as every other job.

### Ray

Run distributed Ray workloads on your own GPU clusters.

## Serving

### NVIDIA NIM

Serve models with NVIDIA NIM as a drop-in replacement for hosted model APIs.

### NVIDIA Dynamo

Serve models with NVIDIA Dynamo on the same GPUs that train them.

### KServe

Serve models with KServe on Kubernetes clusters that Vantage Compute manages.

## Interactive work

### JupyterLab

Open JupyterLab notebooks on your own GPU clusters, with the right hardware attached.

## Data and storage

### Apache Spark

Run Spark on your own clusters, beside notebooks and batch jobs.

### VAST, WEKA and DDN

Connect third-party storage from VAST, WEKA and DDN to your clusters.