Blog Posts Process Management

Optimizing Machine Learning Deployments on OCI: Introducing Cost-Efficient Burstable Compute Instances

Blog: Oracle BPM

Efficiently deploying machine learning models in the cloud involves navigating challenges like resource management and balancing cost and performance. This is particularly crucial for models with fluctuating computational demands. The introduction of burstable VMs and autoscaling for data science model deployment in OCI addresses these challenges by providing flexible resource allocation.

Leave a Comment Cancel reply

You must be logged in to post a comment.

Get the BPI Web Feed

Using the HTML code below, you can display this Business Process Incubator page content with the current filter and sorting inside your web site for FREE.

Copy/Paste this code in your website html code:

<iframe src="https://www.businessprocessincubator.com/content/optimizing-machine-learning-deployments-on-oci-introducing-cost-efficient-burstable-compute-instances/?feed=html" frameborder="0" scrolling="auto" width="100%" height="700">

Customizing your BPI Web Feed

You can click on the Get the BPI Web Feed link on any of our page to create the best possible feed for your site. Here are a few tips to customize your BPI Web Feed.

Customizing the Content Filter
On any page, you can add filter criteria using the MORE FILTERS interface:

Customizing the Content Sorting
Clicking on the sorting options will also change the way your BPI Web Feed will be ordered on your site:

Some integration examples