Sold by: pCloudHosting LLC
Deployed on AWS
AWS Free Tier
This product has charges associated with it for seller support. Ultralytics YOLOv8 is a cutting edge, open source computer vision framework for real time object detection, classification, segmentation, and tracking, optimized for speed and accuracy on both CPU and GPU.
Overview
Ultralytics YOLO 8.4.6 on Ubuntu 24.04 with Free Maintenance Support by pCloudHosting
YOLOv8 on Ubuntu 24.04 by pCloudHostings delivers a ready-to-use, cloud-optimised computer vision environment designed for fast development and reliable deployment of AI models on AWS.
This offering is ideal for developers, data scientists, and AI teams building image- and video-based applications in modern cloud-native environments.
Core Capabilities
Unified Computer Vision Framework
YOLOv8 provides a single, unified framework for multiple computer vision tasks, simplifying development workflows and accelerating model delivery.
High-Speed & Real-Time Performance
Designed for low-latency inference, YOLOv8 delivers fast and precise results, making it well suited for real-time and near-real-time applications.
Anchor-Free Detection Architecture
The model predicts object centres directly instead of relying on predefined anchor boxes, improving accuracy while reducing computational complexity.
Multiple Model Sizes
Choose from lightweight to high-accuracy model variants to balance performance and cost, enabling flexible deployment across different Amazon EC2 instance types.
Supported Vision Tasks
- Object detection with bounding boxes
- Instance segmentation for pixel-level object boundaries
- Pose estimation with keypoint detection
- Oriented bounding boxes for rotated objects
- Image classification
AWS-Optimized Deployment
- One-click Amazon EC2 deployment from AWS Marketplace
- Runs on Ubuntu 24.04 LTS for long-term stability and security
- Compatible with GPU and CPU-based Amazon EC2 instance types
- Easy integration with AWS storage, networking, and CI/CD pipelines
- Suitable for development, testing, and production workloads
The AMI includes preconfigured dependencies, allowing users to begin training or inference immediately after launch.
Support by pCloudHostings
This is a repackaged open-source software product. The base software remains open source, and additional charges apply only if you choose maintenance and support services from pCloudHostings.
Why Choose YOLOv8 on AWS by pCloudHostings?
- Faster setup compared to manual AI environment configuration
- Production-ready computer vision framework
- Flexible model sizes for cost and performance optimisation
- Built on the latest Ubuntu LTS release
- Optimised for AWS cloud workloads
- Optional professional support when you need it
Highlights
- Good documentation & tools for training, validation, exploring datasets etc.
- Decoupled head for classification + regression
- Export formats are well supported (ONNX, etc.)
Details
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Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Ubuntu 24.04
Deployed on AWS
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Features and programs
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
If you are an AWS Free Tier customer with a free plan, you are eligible to subscribe to this offer. You can use free credits to cover the cost of eligible AWS infrastructure. See AWS Free Tier for more details. If you created an AWS account before July 15th, 2025, and qualify for the Legacy AWS Free Tier, Amazon EC2 charges for Micro instances are free for up to 750 hours per month. See Legacy AWS Free Tier for more details.
Dimension | Cost/hour |
|---|---|
m4.large Recommended | $0.006 |
t2.micro | $0.001 |
t3.micro | $0.006 |
t3.nano | $0.006 |
t3.medium | $0.006 |
t2.2xlarge | $0.006 |
t2.medium | $0.006 |
t2.large | $0.006 |
t3.large | $0.006 |
r3.large | $0.006 |
Vendor refund policy
No Refund
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Delivery details
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
Packaged with latest updates as of Jan/2026
Additional details
Usage instructions
Connect your instance via SSH, the username is ubuntu. More info on SSH: https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/AccessingInstancesLinux.html - Run the following commands: #sudo su #sudo apt update #cd /opt #cd ultralytics-8.4.6 #source yolov8-env/bin/activate #yolo version
Support
Vendor support
Feel free to reach out anytime. Our support team is available 24x7 for assistance. Email: anant.shahi@pcloudhostings.com Website:
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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