AI for data infrastructure

Gain full visibility and control of your Databricks Jobs with ML-powered cluster management. Save up to 50% on compute spend and consistently meet your runtime SLAs with AI optimization.

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Insider uses Gradient to optimize compute

Duolingo uses Gradient AI optimization engine

MediaRadar uses Gradient ML-powered compute optimization

AI optimization for your data infra

Enjoy the ease of serverless without the cost of convenience. Gradient by Sync uses advanced ML algorithms developed in MIT to provide automated compute optimization for organizations running their data infrastructure on CPUs or GPUs on the cloud.

Sync is an official Databricks partner and part of the NVIDIA Inception program

How

Gradient

helps:

50% cost savings
with zero effort

Cut your Databricks spend in half with AI-driven compute optimization. Simply connect Gradient by Sync to your Databricks workspace to start saving.

Hit all your
critical SLAs

Consistently hit critical SLAs at lower costs. Gradient ensures you meet SLAs in the most cost-effective manner, even with varying data size.

25% engineering
hours saved

Stop manually optimizing clusters – there’s a SaaS for that. Gradient uses advanced machine learning algorithms to optimize your clusters 24/7.

Continuous monitoring
and optimization

Our machine learning models work around the clock using a closed feedback loop to continuously test, learn, and optimize clusters to meet your goals.

Complete control over Job cost and performance

Complete cost and performance visibility

Control runtimes, compute resources, instances, and more. Every optimization is logged and can be reverted in one click, even when Gradient is set to auto-apply recommendations.

Optimize complex
data pipelines

Variable size data pipelines, DAG dependencies, and parallel jobs, are no problem. Gradient was built to tackle these hard use-cases at scale.

Fully customizable
ML models

Each job is paired with a ML model trained using historical Spark event logs. This enables custom optimization that dynamically adapts to your workloads.

Optimization
at scale

Gradient can provide recommendations, or auto-apply changes to your clusters. If you’re running 100s of jobs, auto-apply enables optimization at scale.

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

“Gradient is an excellent tool that delivers real results that you can see in your monthly [data infrastructure] bill.”

Deniz Parmaksız, Sr. Data Engineer, Insider

“With automated optimization and scalable solutions, Gradient guarantees seamless pipeline operation.”

Blaine Elliot, Data Engineer, Abnormal

50

cost savings

2

faster

200

Starting ROI

100

SLAs met

Visibility, security, and convenience

Enterprise-ready AI compute management solution

Fine-grained reporting

Gain full visibility into job costs and performance. Get all the granular information as well as overall spend, total savings, and ROI.

Compliant and secure

Gradient is SOC2 type II certified. And it automatically logs every recommendation and change it makes for easy compliance and auditability.

Works with your stack

Supports AWS, Azure, GCP (soon), and NVIDIA GPUs. Integrates with data orchestration and transformation services, such as Airflow, Azure Data Factory, and dbt.

Get started in minutes

Schedule a call to learn more about Gradient and how it can help you meet your compute goals with AI

Book a demo

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