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Accelerated Compute

Optimize application performance with ASICs — now with NETINT VPUs for media transcoding.

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Get faster, lower-cost transcoding efficiency with VPUs in the cloud

Optimize media transcoding with NETINT’s T1U Quadra video processing units (VPUs), now available on Akamai Cloud. Scale VOD and live event media streaming while reducing costs and leaving your CPU resources available for other essential application tasks — all while meeting or exceeding expensive CPU- and GPU-based transcoding performance.

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Scalable, high-performance VPUs

Quadruple stream density with cost-effective cloud VPUs

Deliver high-performance VOD and live streaming with up to 30 concurrent streams per VPU.

Right-size your plan from Accelerated, Dedicated CPU, or GPU instances

Cloud infrastructure isn’t one-size-fits-all. Scale between Accelerated, Dedicated CPU, and GPU plans to meet performance needs and optimize cloud spend.

Elastic scaling for VPUs with on-demand access in the cloud

Scale VPU resources on demand. Whether testing or expanding existing hardware, deploy in the cloud to scale quickly with no upfront cost.

Key features

Deploy VPUs globally

Accelerated plans with VPUs are available in Akamai Cloud regions across North America, Europe, and Asia. Contact us about other locations.

Utilize included media transcoding SDKs

NETINT VPUs include FFmpeg, H.264 compression, and HDR integrations built in as part of NETINT’s included software development kits (SDKs).

Easily set up secure networking

Segment traffic and lock down access to your accelerated instance with free VPC, VLAN, and Cloud Firewall compatibility.

Features

  • VPUs include built-in AVC/H.264 baseline compression; Main, High, High 10 Encode/Decode — ideal for varying internet speeds
  • Choose between three carefully tailored plans to deploy up to two dedicated VPUs per instance
  • Stream crisp video with native high dynamic range (HDR) integration for color contrast, brightness, and color accuracy
  • Access VPUs in the cloud starting at US$0.42 per hour
  • Save with low-cost egress, up to 90% on cost: US$0.005 — half a penny — per GB
  • Minimize your cost per stream with cloud resources designed for media workloads
  • Add Accelerated Compute worker nodes to managed Kubernetes clusters
  • Configure and deploy Accelerated Compute instances with Terraform
  • Easily set up Private Networking with VLAN and VPC

*See Promotion Redemption Rules & Conditions

Explore more about Akamai compute

GPU

Parallel process workloads including machine learning, scientific computing, and video processing.

View product details

CPU

Match Shared CPU, Dedicated CPU, or High Memory compute plans to your applications’ needs and budget.

View product details

Accelerated Compute Use Cases

VPUs thrive in today’s media-intensive tasks, with faster transcoding, lower costs, and scalability.

On-demand video streaming

Stream high-performance video without overpaying for GPUs. VPUs offer a cost-efficient alternative to CPU- and GPU-based transcoding with higher stream density and optimized media processing for platforms like VOD services, media SaaS, and OTT providers.

Live event streaming

Reduce latency and maximize stream quality for live events. From concerts and sports to global broadcasts, cloud-based VPUs minimize transcoding delays and support AV1 encoding up to 8K HDR, ensuring an ideal viewer experience with ultra-low-latency delivery.

Video-driven social media content

Support high-volume media uploads and instant playback. As platforms rely more on short-form video, user-generated content, and live user broadcasts, VPUs accelerate encoding, reducing compute strain and enabling faster, more scalable media processing without the need for cost-intensive on-prem hardware infrastructure.

Next steps

See if you qualify for up to US$5,000 in cloud credits

See if you qualify for up to US$5,000 in cloud credits

We’re here to help you with large-scale deployments, migrations, app optimization, architecture assessments, security and reliability audits, and much more. For support or account issues, please visit our support page.