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    Video Quality Metric Accelerator for VMAF - Pulsar-VMAF

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    Deployed on AWS
    Free Trial
    Pulsar-VMAF is a fixed functional hardware accelerator leveraging FPGA (field programmable gate array) to offer the highest computational efficiency for VMAF Video Quality Metric.

    Overview

    Play video

    As video streaming grows, it becomes necessary to optimize the visual streaming quality to lower the rising cost of CDN. You can do this by measuring the visual quality of the transcoding output so that no bandwidth is wasted. You need a method to measure video quality.

    VMAF is a great option to measure video quality but the process is slow and time consuming when it comes to very high resolution streaming such as 4Kp60.

    BLUEDOT offers VMAF hardware accelerator leveraging FPGA (field programmable gate array) instances in the Cloud. Comparing with SW VMAF, it provides faster performance, cheaper cost, and lower power consumption.

    Highlights

    • Fully hardwired accelerator offering high throughput
    • No CPU workload is required
    • FFmpeg supported, easy integration

    Details

    Delivery method

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

    Latest version

    Operating system
    AmazonLinux 2.0.20220121.0

    Deployed on AWS
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    Pricing

    Free trial

    Try this product free for 5 days according to the free trial terms set by the vendor. Usage-based pricing is in effect for usage beyond the free trial terms. Your free trial gets automatically converted to a paid subscription when the trial ends, but may be canceled any time before that.

    Video Quality Metric Accelerator for VMAF - Pulsar-VMAF

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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 (1)

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    Dimension
    Cost/hour
    f1.2xlarge
    Recommended
    $1.20

    Vendor refund policy

    We do not currently support refunds, but you can cancel at any time.

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    Usage information

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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

    Pulsar-VMAF v1.1.2

    Resources

    Vendor resources

    Support

    Vendor support

    If you need an assistance, please send an e-mail to contact@blue-dot.io  and we will support you as quickly as possible.

    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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    In Edit/Processing-Video
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    In Video

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    Overview

     Info
    AI generated from product descriptions
    Hardware Acceleration Architecture
    FPGA-based fixed functional hardware accelerator for VMAF video quality metric computation
    Computational Efficiency
    Delivers higher throughput and lower power consumption compared to software-based VMAF implementations
    CPU Independence
    Offloads VMAF processing from CPU, eliminating CPU workload requirements
    Video Resolution Support
    Capable of processing high-resolution video streams including 4K at 60 frames per second
    Integration Framework
    FFmpeg-compatible interface enabling straightforward integration with existing video processing workflows
    Proprietary Video Encoding Algorithm
    Proprietary CABR algorithm supporting ABR ladders across AVC, HEVC, and AV1 formats for optimized video compression
    GPU-Accelerated Processing
    GPU integration delivering superior performance compared to CPU-based transcoding solutions
    Multi-Codec Support
    Support for all major video codecs including AV1, HEVC, and AVC formats with seamless format upgrades
    AI-Driven Video Enhancement
    AI-driven capabilities integrated during transcoding process to enhance video content quality and prepare for advanced formats
    Cloud Storage Integration
    Integration with cloud S3 storage and Video-on-Demand platforms for seamless video operations and delivery
    Multi-Codec Support
    Supports encoding with multiple codecs including AV1, VP9, HEVC (H.265), H.264, and legacy codecs, with multi-HDR support including Dolby Vision for enhanced content quality.
    Advanced Encoding Optimization
    Utilizes proprietary Per Title, Per Shot, and Multiple Pass encoding techniques to deliver optimal video quality at the lowest possible bit rate, reducing CDN and storage costs.
    Content Protection and DRM
    Integrates with over 15 multi-DRM and watermarking providers to protect content and enable secure delivery at resolutions up to 8K ultra-high definition (UHD).
    Distributed Processing Architecture
    Employs distributed split and stitch architecture for rapid VOD asset encoding and seamless turnaround times.
    Cloud Deployment Flexibility
    Offers two deployment methods: Cloud Connect for processing within customer's Virtual Private Cloud (VPC) environment, and Managed Cloud with automatic orchestration, auto-scaling, and container provisioning for AWS instances across regions.

    Contract

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    Standard contract
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