FEATURES
Integrations for optimized data pipelines
Gradient fits seamlessly into your existing data infrastructure

Extensible optimization engine
Leverage our pre-built integrations to streamline your workflows, or build your
own custom integration
Databricks Jobs
Gradient is the first AI compute optimization engine for Databricks. It enables organizations to save up to 50% on their Jobs compute bill, while maintaining strict runtime SLAs.

NVIDIA RAPIDS
Leverage GPUs in the cloud to support ML and accelerate data processing. Seamlessly optimize GPU-based tasks, significantly reducing processing times and improving overall efficiency.

Airflow
Connect Gradient with Airflow to gain full visibility and control over your Airflow-managed jobs. Connect the dots between runs, understand exactly what changes from run to run, and how that has impacted costs and performance.

Azure Data Factory
Optimize your data pipelines managed by Azure Data Factory with Gradient. Ensure cost-effectiveness with optimal resource allocations across your ADF-orchestrated workloads with Gradient.

Terraform
Seamlessly manage infrastructure as code. Leverage Terraform’s robust state management and execution planning along with Gradient’s compute optimization capabilities to automate data infrastructure optimization.

CI/CD compatible
Effortlessly incorporate Gradient into your continuous integration and deployment processes. Use our Python library to integrate Gradient with your development pipelines on Jenkins, GitLab CI, or GitHub Actions.

API-driven customization
Use our robust REST APIs or Python library to access any of Gradient’s features programmatically. Easily build custom integrations to share job cost and performance information with internal dashboards and financial tools.

Key
benefits:
Easily optimize all of your Jobs with Gradient’s integrations

Maximum impact
in minimum effort

Works with
your workflows

Easy customization

Platform agnostic

Secure and compliant

I’d be surprised if there was any data team on the planet that wouldn’t save money and time from using Gradient.
Jesse Lancaster, CTO, Forma.ai
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Leverage customized machine-learning models to take your compute to the next level