Make the most of your infrastructure.

Easily scale up or down for your compute needs, and pay only for the time you use.

Product Tour

Create Job

Upload your job into Dis.co via command-line or web interface. Jobs include AI model training, image and video rendering, or IoT device edge computing.

Launch Job

The jobs’s subtasks are scheduled and routed to compute nodes. Disco parallelizes and optimizes the job for time and cost.

There are no limitations on requests, code size, memory, execution time, or runtime environments.

Get Results

Monitor the progress of your jobs in the CLI or web UI. Download all your results at once

Easily run parallel workloads and accelerate time-to-results without managing infrastructure.

Features

GPU Support

With the power 1-8 Nvidia Tesla V100 cores per job, get results faster. For AI modeling, media rendering, or any framework that support GPUs. Take huge arrays and store it memory for faster processing.

Modern Hybrid-Cloud

Leverage existing infrastructure - on-prem and cloud - as one resource. Auto-scaling infrastructure with nothing to maintain.

No Learning Curve

Run jobs in web UI or CLI. Use existing codebase and CICD codesets. Parallelize your Python projects without learning multi-processing.

Zero Dependency Management

Bring your own Docker images. Or let us build one based on your requirements.

Smart Scheduler

Stop building home-grown scheduling and orchestration tools. Automatically parallelize large-compute workloads at scale.

Serverless

No servers to provision, patch, manage, or monitor. Pay only for the compute time you use.

Compatibility Matrix

Dis.co integrates with all of the major platforms and technologies that you need to build and scale your applications. Choose your own set from the below options to fit your needs.

Public Clouds

AWS, Azure, GCP, Packet

CPU

Docker

Architecture Types

CPU, GPU

Data Repositories

Github, Gitlab, Bitbucket

Frameworks

PyTorch, Tensorflow

On-Premise Agents

Ubuntu 18.04, Centos 7.7,
Docker 19.03

Pricing

Pricing for CPU and GPU power is based on machine size.
Pay for the compute time used - by hour for cloud compute and by month per agent installed for on-prem machines. Volume discounts are available. Speak with a solution expert for a customized price quote.

Any cloud. Any environment.
Your first 500 hours of compute time are free.