Akamai has added Nvidia GPUs to its distributed cloud network adding a service optimized for processing video content at the edge.
The cloud service, announced at the National Association of Broadcasters' (NAB) conference, is powered by Nvidia RTX 4000 Ada Generation GPUs.
Akamai has been steadily building out its distributed cloud infrastructure for multiple use cases including AI and machine learning workloads that require low latency near data.
- Akamai's IaaS vision: Become your cloud alternative
- Akamai launches Gecko, aims to combine cloud compute, edge networks
- Why generative AI workloads will be distributed locally
- Constellation ShortList™ Digital Performance Management
According to Akamai, the Nvidia RTX 4000 instances can process video frames per second 25x faster than CPU encoding and transcoding. Although the Akamai Nvidia-powered instances are initially aimed at the media industry, the company is also betting on other use cases.
These use cases include:
- Virtual reality and augmented reality content.
- Generative AI and machine learning workloads for training and inference at the edge.
- Data analytics and scientific computing.
- Gaming and graphics rendering.
- High-performance computing.
Akamai said it will continue to add GPU instances optimized by industries.
