1  import { CardGroup, SmallLogoCard } from '@site/src/components/Card';
 2  
 3  MLflow can be used in a variety of environments, including your local environment, on-premises clusters, cloud platforms, and managed services. Being an open-source platform, MLflow is **vendor-neutral**; whether you're building AI agents, LLM applications, or ML models, you have access to MLflow's core capabilities — tracing, evaluation, experiment tracking, deployment, and more.
 4  
 5  <CardGroup cols={5}>
 6    <SmallLogoCard link="https://docs.databricks.com/aws/en/mlflow3/genai/">
 7      <span>![Databricks Logo](/images/logos/databricks-logo.png)</span>
 8    </SmallLogoCard>
 9    <SmallLogoCard link="https://aws.amazon.com/sagemaker-ai/experiments/">
10      <span>![Amazon SageMaker Logo](/images/logos/amazon-sagemaker-logo.png)</span>
11    </SmallLogoCard>
12    <SmallLogoCard link="https://learn.microsoft.com/en-us/azure/machine-learning/concept-mlflow?view=azureml-api-2">
13      <span>![Azure Machine Learning Logo](/images/logos/azure-ml-logo.png)</span>
14    </SmallLogoCard>
15    <SmallLogoCard link="https://nebius.com/services/managed-mlflow">
16      <span>![Nebius Logo](/images/logos/nebius-logo.png)</span>
17    </SmallLogoCard>
18    <SmallLogoCard link="/ml/tracking">
19      <span>![Kubernetes Logo](/images/logos/kubernetes-logo.png)</span>
20    </SmallLogoCard>
21  </CardGroup>