Sold by: pCloudHosting LLC
Deployed on AWS
AWS Free Tier
This product has charges associated with it for seller support. Ultralytics YOLOv8.4.61 is a state-of-the-art computer vision framework designed for real-time object detection, image classification, instance segmentation, pose estimation, and object tracking. It offers high accuracy, fast inference speeds, and an easy-to-use Python interface for AI developers and researchers.
Overview
Ultralytics YOLOv8.4.61 is an advanced deep learning framework built for modern computer vision applications. As part of the renowned YOLO (You Only Look Once) family, YOLOv8 delivers exceptional performance for object detection, image classification, instance segmentation, pose estimation, and object tracking tasks.
Designed with ease of use and flexibility in mind, YOLOv8.4.61 provides a streamlined workflow for training, validating, and deploying AI models across a wide range of environments, including cloud servers, edge devices, and production systems. The framework supports both CPU and GPU acceleration, enabling developers to achieve fast inference speeds while maintaining high detection accuracy.
Ultralytics YOLOv8 features a user-friendly command-line interface and Python API, making it suitable for beginners and experienced machine learning engineers alike. With support for custom datasets, transfer learning, model export to multiple formats, and seamless integration with popular AI tools, YOLOv8 helps accelerate the development of computer vision solutions for industries such as security, healthcare, retail, manufacturing, robotics, and autonomous systems.
Version 8.4.61 includes performance improvements, bug fixes, and enhanced compatibility with the latest machine learning libraries, ensuring a reliable and efficient development experience for modern AI projects.
Highlights
- Supports object detection, segmentation, classification, pose estimation, and tracking with high accuracy and low latency.
- Includes a simple CLI and Python API with support for custom datasets, transfer learning, GPU acceleration, and multiple export formats.
Details
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Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Ubuntu 26.04
Deployed on AWS
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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 | $0.03 |
t2.micro | $0.01 |
t3.micro | $0.03 |
c4.large | $0.03 |
c5.large | $0.03 |
m3.medium | $0.03 |
c3.large | $0.03 |
t3.small | $0.03 |
t2.small | $0.03 |
m5.large | $0.03 |
Vendor refund policy
No Refund
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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 June/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: #cd ~/yolo #source venv/bin/activate #python --version #pip show ultralytics
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
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Similar products
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.
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