Sold by: AMD Xilinx
Deployed on AWS
The AMD Xilinx Video SDK is a complete software stack allowing users to seamlessly leverage the hardware accelerated features of AMD Xilinx video codecs such as the ones available on Amazon EC2 VT1 instances and AWS Elastic Container Service.
Overview
The AMD Xilinx Video SDK is a complete software stack allowing users to seamlessly leverage the hardware accelerated features of AMD Xilinx video codecs and enable high-density real-time transcoding for live streaming video service providers, OEMs, and Content Delivery Network (CDNs). Included in the AMD Xilinx Video SDK is a pre-compiled version of FFmpeg and GStreamer which integrates key video transcoding plug-ins, enabling simple hardware offloading of compute-intensive workloads (such as video decoding, scaling, and encoding) using these popular tools.
The AMD Xilinx Video SDK also provides a C-based application programming interface (API) which facilitates the integration of AMD-Xilinx video codec transcoding capabilities in proprietary frameworks.
In addition to enhanced OS/kernel support and bug fixes, the 3.0.0 release brings with it ultra low latency (ULL) encoding, dynamic GOP, min/max frame quantization parameter (QP) bounding, and support for updates using package feeds. Visit What's New of its release notes (https://xilinx.github.io/video-sdk/v3.0/release_notes.html#what-s-new ) for the full list of enhancements.
The 3.0.0 release includes support for the popular GStreamer multimedia framework with the addition of several plugins to access the accelerated video transcoding capabilities.
Highlights
- Adaptive bitrate (ABR) transcoder * Real-time and faster than real-time transcoder * Supports H.264 and HEVC * Up to two channels of 4Kp60 video throughput per card * Subdivide total throughput for a maximum of 48 channels of lower resolution video
- FFmpeg, Gstreamer, and C-based API's * Supports HDR10 and HDR10+ * Dynamic update of encoder parameters
- Ultra low latency (ULL) encoding * Dynamic GOP * Min/max frame quantization parameter (QP) bounding * Updates using package feeds
Details
Sold by
Categories
Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
AmazonLinux 2
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
This product is available free of charge. Free 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.
Dimensions summary
This software is free, so you pay only for the hourly cost of the VT1 instance you run it on. The three dimensions represent three VT1 instance sizes: vt1.3xlarge, vt1.6xlarge, and vt1.24xlarge. Each is billed per hour of usage. You pick the instance size that matches your video transcoding workload. The software stack enables hardware-accelerated video transcoding on these instances. There are no tiers or feature differences between the dimensions. Pricing scales with the size and number of instances you run and the hours they stay active.
Top-of-mind questions for buyers
Each dimension maps to one VT1 instance size: vt1.3xlarge, vt1.6xlarge, or vt1.24xlarge. Larger sizes carry more video transcoding capacity per instance. You are billed per hour for the size you launch. The software itself adds no charge, so your bill reflects the instance size and hours run.
The software is free, so it adds no hourly charge. Hourly billing tracks running instance time only. A fully stopped instance does not accrue instance-hour charges. Stopped instances may still incur underlying AWS storage fees for attached volumes, but no software cost applies.
The software stack enables hardware-accelerated video decoding, scaling, and encoding on VT1 instances. It includes pre-compiled transcoding tools and a C-based API. You can also run it on-premises with compatible accelerator cards. On AWS, you pay only the hourly VT1 instance cost.
xilinx.github.io
Helpful?
Vendor refund policy
It's a free AMI, but you can cancel at any time.
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
Additional details
Usage instructions
Refer to the GitHub repository for details: https://xilinx.github.io/video-sdk/#
Resources
Vendor resources
Support
Vendor support
Submit issues via the AMD Xilinx Video SDK Github repository for support.
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
The AMD Xilinx Video SDK is a complete software stack allowing users to seamlessly leverage the hardware accelerated features of AMD Xilinx video codecs such as the ones available on Amazon EC2 VT1 instances.
Develop AMD Xilinx FPGA-accelerated algorithms & applications using pre-optimized libraries and familiar programming languages like C, C++ and Python
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.