Sold by: Acrux.Media
Deployed on AWS
Amazon Linux 2023 AMI optimized for media processing with pre-installed FFmpeg, FFprobe, and MediaInfo. Built for ARM64 architecture, this AMI includes essential development tools for video/audio transcoding, metadata extraction, and seamless media workflow automation on AWS.
Overview
The AMI is a powerful Amazon Linux 2023 image designed for media processing, transcoding, and metadata analysis. It is pre-configured with the latest versions of FFmpeg, FFprobe, and MediaInfo, providing a streamlined and efficient environment for handling high-performance video and audio workflows. This AMI is optimized for ARM64 EC2 instances, ensuring cost-effective and scalable performance for cloud-based media applications. This image includes FFmpeg and FFprobe, enabling advanced video and audio encoding, decoding, and streaming capabilities. The MediaInfo CLI is also pre-installed to facilitate the extraction of detailed metadata from multimedia files. Built on Amazon Linux 2023, the AMI offers a secure, lightweight, and highly optimized platform for AWS workloads. In addition to media processing tools, the AMI comes with a set of development utilities, including GCC, Python3-devel, and libcurl. These tools simplify the process of building and deploying custom media applications in the cloud. The Acrux Media AMI is an ideal solution for media companies, developers, and streaming platforms that require a reliable and ready-to-use environment for multimedia content processing.
Highlights
- The AMI is optimized for media processing and includes FFmpeg, FFprobe, and MediaInfo. These pre-installed tools enable seamless video and audio transcoding, encoding, and metadata extraction, making it an excellent choice for AWS-based media workflows.
- Built on Amazon Linux 2023, this AMI is designed for ARM64 EC2 instances, providing a secure and lightweight foundation for high-performance media applications. The operating system is optimized for AWS workloads, ensuring reliability, scalability, and efficiency in cloud-based deployments.
- The AMI is also developer-friendly and pre-configured with essential development tools. It includes GCC, Python3-devel, and libcurl, which allow users to easily build, deploy, and automate media applications on AWS. This makes it a practical solution for professionals who need a powerful and easy-to-use media processing environment.
Details
Sold by
Delivery method
Delivery option
64-bit (Arm) Amazon Machine Image (AMI)
Latest version
Operating system
AmazonLinux 2023
Deployed on AWS
New
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
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.
Dimension | Cost/hour |
|---|---|
c8g.4xlarge Recommended | $1.00 |
c6gd.2xlarge | $1.00 |
m8g.24xlarge | $1.00 |
c7gn.12xlarge | $1.00 |
c6gn.xlarge | $1.00 |
m6g.metal | $1.00 |
a1.2xlarge | $1.00 |
m8g.12xlarge | $1.00 |
m7g.metal | $1.00 |
c7gn.xlarge | $1.00 |
Dimensions summary
You pay by the hour for this AMI, which comes preloaded with media tooling like FFmpeg and MediaInfo. Pricing is tied to the EC2 instance type you run it on. Every dimension here is an Arm-based (Graviton) instance size, spanning general-purpose, compute-optimized, memory-optimized, storage-optimized, and graphics families. Smaller sizes such as nano, micro, and medium cost less per hour than larger sizes like 24xlarge, 48xlarge, and bare-metal options. You choose the instance that fits your processing needs, and the hourly rate scales with the instance's capacity.
Top-of-mind questions for buyers
You get the AMI with preloaded media tooling running on the Arm-based (Graviton) instance you pick. The hourly rate covers the software licence for that instance size. Larger instances carry more vCPUs and memory, so their hourly rate is higher than smaller sizes.
The software charge meters running hours only. A stopped instance does not accrue the hourly software fee. You may still pay underlying AWS storage fees for the attached volume while it is stopped. Charges resume when you start the instance again.
No single flat AMI fee applies. Your cost is set entirely by the instance dimension you choose. Each Graviton family and size has its own hourly rate. Switching to a different instance type changes your rate for the hours you run it.
acrux.media
Helpful?
Vendor refund policy
All sales of the Acrux Media AMI are final. Refunds are not provided after subscription and launch. If you experience technical issues caused by the AMI, contact our support team. Verified issues that cannot be resolved may be eligible for a refund.
For assistance, contact support@acrux.media or +1 (201) 560-8983.
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 (Arm) 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
Release Date: February 2025 This is the release of Acrux Media AMI v1.1, a pre-configured Amazon Linux 2023 image optimized for media processing workloads. Key Features: Pre-installed FFmpeg & FFprobe - Enables advanced video and audio transcoding, encoding, and streaming. MediaInfo CLI - Provides detailed metadata extraction for multimedia files. Amazon Linux 2023 (ARM64) Base - Lightweight, secure, and optimized for AWS. Development Tools Included - Includes GCC, Python3-devel, libcurl, and essential libraries. Cloud-Optimized - Ready for AWS Marketplace, integrates seamlessly with S3, RDS, and ElastiCache. Enhancements & Fixes: Built with the latest FFmpeg (2025 version) and MediaInfo 24.12. Optimized system configurations for ARM64 instances. Cleaned and hardened for AWS deployment, ensuring minimal footprint and security compliance.
Additional details
Usage instructions
This AMI provides a pre-configured Amazon Linux 2023 environment optimized for media processing using FFmpeg, FFprobe, and MediaInfo. Follow the steps below to launch and use the AMI effectively. Launching the AMI Go to the AWS Marketplace and search for Acrux Media AMI. Click "Continue to Subscribe," then "Continue to Configuration." Choose the Amazon Linux 2023 version and select your preferred AWS region. Click "Continue to Launch," select an EC2 instance type (recommended: Graviton2/3 ARM64 instances), and configure networking settings. Click "Launch" and wait for the instance to initialize. Connecting to the Instance Use SSH to connect to the instance using the command: ssh -i your-key.pem ec2-user@your-instance-ip. Replace "your-key.pem" with your private key and "your-instance-ip" with the instance's public IP. Verifying Installed Software Once connected, verify the pre-installed tools. Check FFmpeg version with "ffmpeg -version". Check MediaInfo version with "mediainfo --version". Check Python and development tools with "python3 --version" and "gcc --version". Using FFmpeg for Media Processing To convert a video file to MP4, use "ffmpeg -i input.mov -vcodec h264 -acodec aac output.mp4". To extract audio from a video, use "ffmpeg -i input.mp4 -q:a 0 -map a output.mp3". Using MediaInfo for Metadata Extraction To get metadata for a media file, use "mediainfo input.mp4". Storage and Networking Considerations Attach an S3 bucket for large media storage. Ensure your security group allows inbound SSH (port 22) and any necessary media processing ports. Stopping and Terminating the Instance Stop the instance when not in use to save costs using "sudo shutdown -h now". To permanently remove the instance, terminate it from the AWS EC2 Console. For further assistance, contact support@acrux.media .
Support
Vendor support
For support related to the AMI, we provide professional assistance to ensure smooth deployment, configuration, and operational efficiency in your AWS environment. Our team is available to help resolve technical issues, provide guidance on best practices, and ensure that customers can fully utilize the capabilities of the AMI. Support is available through email, phone, and our dedicated support website. Standard support is offered during business hours from Monday to Friday, 9 AM to 6 PM Eastern Time, with a response time of up to 24 business hours. Critical issues related to AMI deployment and configuration receive expedited assistance to minimize downtime and disruptions. For organizations with high-demand media processing workloads, we offer enterprise support packages that include 24/7 assistance. Customers who require continuous availability and dedicated support can contact us for more details on premium support options. For any inquiries or technical support, please reach out to our team. Email: support@acrux.media Phone: +1 201 560 8983 Support 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.
Similar products
This AMI accelerates development with Python 3.12, PostgreSQL 17.4, Node.js 22.14, FFmpeg, and MediaInfo pre-installed. Designed to save engineering hours and reduce setup friction for media processing and full-stack apps.
This product has charges associated with it for seller support. This FFmpeg with NVIDIA Driver by Arara Solutions image comes with the following softwares: FFmpeg, Nice DCV and NVIDIA driver.
This product has charges associated with the provision and deployment of the application and AMI support. FFmpeg is the leading multimedia framework.
This product has charges associated with the provision and deployment of the application and AMI support. FFmpeg is the leading multimedia framework. FFmpeg is a powerful and versatile command line tool for handling multimedia data, including video and audio.
This product has charges associated with it for seller support. FFmpeg is an open source multimedia framework used to process, convert, and stream audio and video files efficiently. It supports a wide range of codecs and formats, making it a powerful tool for media processing, streaming, and automation tasks.
This product has charges associated with it for seller support. FFmpeg is a powerful open-source multimedia framework for recording, converting, streaming, and processing audio and video files. It supports a wide range of codecs, formats, filters, and streaming protocols for media workflows and content delivery.
Customer reviews
No customer reviews yet
Be the first to review this product . We've partnered with PeerSpot to gather customer feedback. You can share your experience by writing or recording a review, or scheduling a call with a PeerSpot analyst.