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Aricent Launches Multi-access Edge Technology for Cloud Gaming, AR/VR, and Ultra-low Latency Industrial Applications

Aricent Launches Multi-access Edge Technology for Cloud Gaming, AR/VR, and Ultra-low Latency Industrial Applications Image Credit: Aricent

Aricent, a global design and engineering company, announced Multi-access Edge (MEC) developer capabilities for immersive experiences such as cloud gaming, Augmented Reality/Virtual Reality (AR/VR), and ultra-low latency industrial applications.

The software enables developers to rapidly deploy carrier-grade applications on Virtual Machines (VMs) and containers that can be distributed as edge services, said Aricent. 

Industry analysts peg the market for edge computing applications to be worth over USD 6bn by 2020. This represents a growing opportunity for over-the-top (OTT) players, equipment providers, and operators to play a role in delivering next-generation experiences and content faster with low network lags.

5G is still in a trial phase and the market for Edge technology is growing. While there is uncertainty about how much customers are willing to pay, mobile operators cannot ignore the opportunity that Edge offers. 

Over the last several years, Aricent said it has been working closely with several European and US Tier 1 Communication Service Providers (CSPs) and Network Equipment Providers (NEPs) to support global Edge initiatives.

Aricent claims that the developer software development kits (SDKs) and Edge infrastructure capabilities help solve some of the toughest challenges in edge computing:

·        Carrier-grade access network functions

·        Cloud-native infrastructure for low-latency workloads

·        Micro-services on-boarding and application certification

·        GPU/FPGA/CPU acceleration of protocols and algorithms

·        Security controls for decentralized and distributed micro-services 

Walid Negm, CTO, Aricent
To get the developer community engaged, we see the need for an edge-friendly SDK and application onboarding capability. The underlying deployment platform is extremely scalable, for example – it helps the developers model which workloads need to be split across GPUs and CPUs.

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Ray is a news editor at The Fast Mode, bringing with him more than 10 years of experience in the wireless industry.

For tips and feedback, email Ray at ray.sharma(at)thefastmode.com, or reach him on LinkedIn @raysharma10, Facebook @1RaySharma

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