Model Management

Manage Models with Clarity and Control

Organize, track, and deploy your machine learning models effortlessly. Manage every version and performance metric in one workspace.

Request Demo

Overview

Sun Summit’s Model Management tools help teams version, track, and compare models across every stage of development. From training to deployment, manage everything in one place with full transparency, consistency, and seamless team collaboration.

Model Versioning

Track and version every iteration of your models, allowing for easy comparison and rollback.

Model Comparison

Compare different versions of your models and determine the best-performing one.

Deployment Ready

Deploy models directly from the platform, ensuring that each version is ready for production use.

Example Code for

Model Management

Set up and use SunSummit to define workflows, track metrics, and trigger alerts. Below are examples in different programming languages to get you started.

# Create and version a model
sunsummit model create \
  --project "ai-project" \
  --model "v1.1" \
  --data "s3://processed-data" \
  --parameters "batch-size=64, epochs=10"

# Compare models
sunsummit model compare \
  --model "v1.1" \
  --compare "v1.0" \
  --metrics "accuracy, precision, recall"

Use Cases

01

Monitor Model Quality Over Time

Continuously track model performance to ensure it maintains accuracy as data changes.

02

Compare Experiments and Versions

Easily compare the performance of different experiments or model versions to determine the best solution.

03

Get Alerts When Metrics Drop

Set up real-time alerts to notify your team when key metrics fall below the desired threshold.

04

 Share Dashboards with Your Team

Share performance dashboards and insights with your team to foster collaboration and data-driven decision-making.

Rise to the summit

Unlock the Full Power
of AI Certs with Vernet

Supercharge your AI projects, streamline workflows, and scale with confidence.

Request Demo