Ideal for beginners and hobbyist
Public Projects and Datasets
Run up to 2 Workspaces or 2 Jobs at the same time
Collaborate on public projects
20GB private dataset storage
Single user access to CVAT CPU Annotation Tool
Productivity and collaboration for Data Scientist
All the features from Beginner
Private and public Projects and Datasets
Run up to 10 Workspaces or 10 Jobs at the same time
Priority access to all machines
Tensorboard and TensorboardX access
Team based GPU Optimized Annotation tool Access
200GB private dataset storage
Team collaboration (3 members)
Productivity and collaboration for data science teams
All the features for Data Scientist
Centralized model management library
Team management with role based permissions
Usage tracking and metrics
Run unlimited Workspaces or Jobs at the same time
Speed up your video or image annotation with GPUs
All the popular tools that you already know, preinstalled
Simple per second pricing. Only pay for what you use
Your code, datasets, results & models are version controlled
Train and iterate quicker with parallel Jobs
One button reproducibility for your team
Productionize your models and deploy scalable APIs
Centralize and share your models seamlessly
Onepanel simplifies Devops so you can focus on the what you are good at. Don't waste time on installing multiple libraries or docker images. We've boiled this process down into a single button click.
Onepanel offers a complete end-to-end solution from dataset onboarding to exposing your trained models with serverless APIs. We've also integrated familiar pipeline tools while making this process easier for you collaborate with global teams.
Save thousands of hours and tons of money using a GPU optimized video and image annotation tool. We have trained some of the most popular image recognition and tracking models for you to easily use within the annotation tool.
Save time and money by training in parallel on fully automated distributed instances. We have done all of the hard work by pre installing Tensorboard and TensorbordX so you can easily visualize progress in real time while parameter sweeping across multiple jobs.