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Data Center News > Blog > Edge Computing > Akamai to transform media workflow efficiency at the edge
Edge Computing

Akamai to transform media workflow efficiency at the edge

Last updated: April 24, 2024 7:12 pm
Published April 24, 2024
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Akamai extends cloud computing to the edge for improved user experiences
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Akamai Applied sciences, a cloud supplier, has expanded its choices with a brand new media-focused service leveraging NVIDIA GPUs on its world edge platform. The corporate not too long ago unveiled plans to embed cloud computing capabilities into its edge community.

This addition goals to boost productiveness and cost-effectiveness for corporations working within the media and leisure sector, notably these grappling with the calls for of processing video content material.

Current inner testing carried out by Akamai revealed that the utilization of GPU-based encoding, particularly using the NVIDIA RTX 4000, delivers a 25-fold improve in frames per second (FPS) in comparison with standard CPU-based strategies.

The newly launched cloud-based service permits media and leisure enterprises to assemble scalable and resilient architectures, facilitating quicker, extra reliable, and moveable workflows. Based on the corporate, by leveraging Akamai’s broadly distributed cloud platform and built-in content material supply and safety companies, corporations can optimize their operations for improved efficiency.

Shawn Michels, vp of cloud merchandise at Akamai, emphasizes the need for media corporations to entry low latency, dependable compute sources that retain workload portability.

“NVIDIA GPUs present superior value efficiency when deployed on Akamai’s world edge platform. Along with our Certified Compute Companions and open platform, we give our clients the potential to architect their next-gen workloads to be cloud agnostic and help multi-cloud architectures,” Michels provides.

The introduction of industry-optimized GPUs by Akamai goals to handle a spot out there, notably for media-focused purposes, the place present options could also be cost-prohibitive. Drawing on its information within the area, Akamai says it has tailor-made its GPU providing to satisfy the particular necessities of the media and leisure {industry}.

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The purposes of NVIDIA RTX 4000 GPUs span varied sectors, together with video transcoding, stay streaming, digital actuality (VR), augmented actuality (AR), synthetic intelligence (AI), machine studying (ML), knowledge evaluation, scientific computing, gaming, and high-performance computing.

Akamai will showcase its cloud-based media supply options, together with integrations with Certified Compute Companions, on the 2024 NAB Show in Las Vegas.

“So as to help a variety of workloads, you want a wide selection of compute cases,” continues Michels. “What we’re doing with industry-optimized GPUs is one in all many steps we’re taking for our clients to extend occasion range throughout the whole continuum of compute to drive and energy edge native purposes.”

Cloudflare, Akamai named leaders in impartial analysis agency studies

Akamai Applied sciences acquires Neosec to enhance API safety

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Akamai  |  cloud  |  edge  |  GPUs  |  media  |  Nvidia

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TAGGED: Akamai, edge, efficiency, Media, transform, workflow
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