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.
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.
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
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Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Ubuntu 22.04
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Pricing
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Dimensions summary
This software is free to use, so you pay only for the underlying VT1 compute instances by the hour. The three dimensions map to VT1 instance sizes: vt1.3xlarge, vt1.6xlarge, and vt1.24xlarge. They differ by capacity, not by feature set. You pick the size that matches your video transcoding workload. Billing runs hourly, so cost scales with how long each instance runs and which size you select. There are no tiers or add-ons to combine — each instance size is an independent hourly option.
Top-of-mind questions for buyers
Each dimension maps to an Amazon EC2 VT1 instance size. The vt1.3xlarge is the smallest capacity, vt1.6xlarge is mid-range, and vt1.24xlarge offers the most. Larger sizes hold more video codec units, which support higher-density real-time transcoding for live streaming workloads.
The software itself is free, so no software charge applies. Hourly billing tracks the underlying VT1 compute. A running instance accrues hourly charges. A fully stopped instance stops those hourly compute charges, though attached AWS storage may still bill separately.
Pick the size matching your transcoding density needs; larger instances handle more concurrent streams. Each size bills independently by the hour, so you can run several instances of the same or different sizes at once. Your total cost adds up each instance's running hours.
xilinx.github.io
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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
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. https://github.com/Xilinx/video-sdk/issues
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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