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    AMD Xilinx Video SDK AMI for VT1 Instances (Ubuntu 22.04 LTS)

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    Sold by: AMD Xilinx 
    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.
    Listing Thumbnail

    AMD Xilinx Video SDK AMI for VT1 Instances (Ubuntu 22.04 LTS)

     Info
    Sold by: AMD Xilinx 

    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

    Categories

    Delivery method

    Delivery option
    64-bit (x86) Amazon Machine Image (AMI)

    Latest version

    Operating system
    Ubuntu 22.04

    Typical total price

    This estimate is based on use of the seller's recommended configuration (vt1.3xlarge) in the US East (N. Virginia) Region. View pricing details

    $0.65/hour

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    Pricing

    AMD Xilinx Video SDK AMI for VT1 Instances (Ubuntu 22.04 LTS)

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    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.

    Usage costs (3)

     Info
    Instance type
    Product cost/hour
    EC2 cost/hour
    Total/hour
    vt1.3xlarge
    Recommended
    $0.00
    $0.65
    $0.65
    vt1.6xlarge
    $0.00
    $1.30
    $1.30
    vt1.24xlarge
    $0.00
    $5.20
    $5.20

    Additional AWS infrastructure costs

    Type
    Cost
    EBS General Purpose SSD (gp2) volumes
    $0.10/per GB/month of provisioned storage

    Vendor refund policy

    We do not currently support refunds, 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.

    Usage information

     Info

    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.

    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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