Ultralytics Platform
Ultralytics Platform is a comprehensive end-to-end computer vision platform that streamlines the entire ML workflow from data preparation to model deployment. Built for teams and individuals who need production-ready computer vision solutions without the infrastructure complexity.
Watch: Getting Started with Ultralytics Platform
What is Ultralytics Platform?
Ultralytics Platform is designed to replace fragmented ML tooling with a unified solution. It combines the capabilities of:
- Roboflow - Data management and annotation
- Weights & Biases - Experiment tracking
- SageMaker - Cloud training
- HuggingFace - Model deployment
- Arize - Monitoring
All in one platform with native support for YOLO26 and YOLO11 models.
Workflow: Data → Train → Deploy
The Platform follows a streamlined three-stage workflow:
graph LR
subgraph Data["📁 Data"]
A[Upload] --> B[Annotate]
B --> C[Analyze]
end
subgraph Train["🚀 Train"]
D[Configure] --> E[Train on GPU]
E --> F[View Metrics]
end
subgraph Deploy["🌐 Deploy"]
G[Test] --> H[Deploy Endpoint]
H --> I[Monitor]
end
Data --> Train --> Deploy| Stage | Features |
|---|---|
| Data | Dataset upload, annotation editor (manual + SAM + auto-label), statistics visualization |
| Train | Project organization, cloud training with GPU instances, real-time metrics streaming |
| Deploy | Inference testing, dedicated endpoints in 43 regions, monitoring dashboards |
Multi-Region Infrastructure
Your data stays in your region. Ultralytics Platform operates infrastructure in three global regions:
| Region | Location |
|---|---|
| US | US Central (Iowa) |
| EU | EU West (Belgium) |
| AP | Asia Pacific (Hong Kong) |
You select your region during onboarding, and all your data, models, and deployments remain in that region.
Key Features
Data Preparation
- Dataset Management: Upload images, videos, or ZIP archives with automatic processing
- Annotation Editor: Manual annotation for all 5 YOLO task types (detect, segment, pose, OBB, classify)
- SAM Smart Annotation: Click-based intelligent annotation using Segment Anything Model
- Auto-Annotation: Use trained models to pre-label new data
- Statistics: Class distribution, location heatmaps, and dimension analysis
Model Training
- Cloud Training: Train on cloud GPUs (RTX 4090, A100, H100) with real-time metrics
- Remote Training: Train anywhere and stream metrics to Platform (W&B-style)
- Project Organization: Group related models, compare experiments, track activity
- 17 Export Formats: ONNX, TensorRT, CoreML, TFLite, and more
Deployment
- Inference Testing: Test models directly in the browser with custom images
- Dedicated Endpoints: Deploy to 43 global regions with auto-scaling
- Monitoring: Real-time metrics, request logs, and performance dashboards
Account Management
- API Keys: Secure key management for remote training and API access
- Credits & Billing: Pay-as-you-go training with transparent pricing
- Activity Feed: Track all account events and actions
- Trash & Restore: 30-day soft delete with item recovery
- GDPR Compliance: Data export and account deletion
Quick Links
Get started with these resources:
- Quickstart: Create your first project and train a model in minutes
- Datasets: Upload and manage your training data
- Annotation: Label your data with manual and AI-assisted tools
- Projects: Organize your models and experiments
- Cloud Training: Train on cloud GPUs
- Inference: Test your models
- Endpoints: Deploy models to production
- Monitoring: Track deployment performance
- API Keys: Manage API access
- Billing: Credits and payment
- Activity: Track account events
- Trash: Recover deleted items
- REST API: API reference
FAQ
How do I get started with Ultralytics Platform?
To get started with Ultralytics Platform:
- Sign Up: Create an account at platform.ultralytics.com
- Select Region: Choose your data region (US, EU, or AP) during onboarding
- Upload Dataset: Navigate to the Datasets section to upload your data
- Train Model: Create a project and start training on cloud GPUs
- Deploy: Test your model and deploy to a dedicated endpoint
For a detailed guide, see the Quickstart page.
What are the benefits of Ultralytics Platform?
Ultralytics Platform offers:
- Unified Workflow: Data, training, and deployment in one place
- Multi-Region: Data residency in US, EU, or AP regions
- No-Code Training: Train advanced YOLO models without writing code
- Real-Time Metrics: Stream training progress and monitor deployments
- 43 Deploy Regions: Deploy models close to your users worldwide
- 5 Task Types: Support for detection, segmentation, pose, OBB, and classification
- AI-Assisted Annotation: SAM and auto-labeling to speed up data preparation
What GPU options are available for cloud training?
Ultralytics Platform supports multiple GPU types for cloud training:
| GPU | VRAM | Cost | Best For |
|---|---|---|---|
| RTX 4090 | 24GB | $1.18/hr | Fast training, best value |
| L40S | 48GB | $1.72/hr | Balanced performance |
| A100 80GB | 80GB | $2.78/hr | Large models, big batches |
| H100 PCIe | 80GB | $4.78/hr | Maximum performance |
| B200 | 180GB | $10.38/hr | Cutting-edge workloads |
See Cloud Training for complete pricing and GPU options.
How does remote training work?
You can train models anywhere and stream metrics to Platform.
Package Version Requirement
Platform integration requires ultralytics>=8.4.0. Lower versions will NOT work with Platform.
pip install "ultralytics>=8.4.0"
# Set your API key
export ULTRALYTICS_API_KEY="your_api_key"
# Train with project/name to stream metrics
yolo train model=yolo26n.pt data=coco.yaml epochs=100 project=username/my-project name=exp1
See Cloud Training for more details on remote training.
What annotation tools are available?
The Platform includes a full-featured annotation editor supporting:
- Manual Tools: Bounding boxes, polygons, keypoints, oriented boxes, classification
- SAM Smart Annotation: Click to generate precise masks using Segment Anything Model
- YOLO Auto-Annotation: Use trained models to pre-label images
- Keyboard Shortcuts: Efficient workflows with hotkeys
See Annotation for the complete guide.
