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Machine Learning Compute Management Client

Machine Learning Compute Management Client

These APIs allow end users to operate on Azure Machine Learning Compute resources.

Visit site ↗Health checked 3d ago
Use it when

Direct control over ML compute resources

Watch for

Authentication method is unspecified

First check

Visit the official website to access documentation and setup instructions. Authentication details are not specified, so review Azure authentication methods for machine learning services.

Auth
CORS
No
HTTPS
Yes
Signup
?
Latency
63 ms
Protocol
REST
Pricing

Uptime · 30-day window

Probes: 30Uptime: 0%Avg latency: 66ms
01

About this API

The Machine Learning Compute Management Client API provides functionality for managing compute resources within the Azure Machine Learning environment. It enables users to perform operations on compute clusters and instances that are used to run machine learning workloads.

This API is relevant for developers and data scientists who need to automate or programmatically control the lifecycle of compute resources, such as creating, scaling, or deleting compute clusters. It integrates with Azure's broader machine learning platform, facilitating efficient resource management in cloud-based ML workflows.

While the API's authentication method is not specified in the provided information, it is expected to align with Azure's standard authentication mechanisms. The API primarily supports REST protocols and focuses on compute resource operations rather than broader machine learning model management or data handling.

02

What you can build

  • 1Manage machine learning compute resources
  • 2Automate scaling of compute clusters
  • 3Monitor compute resource status
  • 4Integrate compute management into ML workflows
03

Strengths & limitations

Strengths

  • Direct control over ML compute resources
  • Integration with Azure Machine Learning
  • Supports compute resource operations

Limitations

  • Authentication method is unspecified
  • Limited public documentation details
04

Getting started

Visit the official website to access documentation and setup instructions. Authentication details are not specified, so review Azure authentication methods for machine learning services.

05

FAQ

What authentication methods are supported?+

The authentication method is not specified; typically, Azure services use OAuth or service principals.

Can I use this API to create and delete compute clusters?+

Yes, the API allows operations on Azure Machine Learning compute resources, including managing clusters.

Is this API REST-based?+

Yes, it primarily supports REST protocol.

Where can I find documentation?+

Documentation is available on the official Azure website.

Can this API be used from client-side applications?+

Due to authentication and security, it is generally used from backend services.

06

Technical details

CORS: NoHTTPS: YesSignup: ?Open source: No
Auth type
unknown
Pricing
unknown
Protocols
REST
Response time
63 ms
Last health check
8/12/2026, 5:30:21 AM
07

Tags

08

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