The Multi-access Edge Compute (MEC) framework enables mobile operators, application developers, and content providers to deploy predictable cloud-computing capabilities at the network’s edge and in the immediate proximity of mobile networks.

The Multi-access Edge Compute (MEC) framework enables mobile operators, application developers, and content providers to deploy predictable cloud-computing capabilities at the network’s edge and in the immediate proximity of mobile networks.

It’s never too early or late to start talking about cloud-native. By 2025, more than 95% of new workloads will be deployed on cloud-native platforms. Clearly, a lot of organizations are on their way to cloud-native adoption, among them some of the prominent telecom operators of our time. After all, the benefits of cloud-native are most pronounced in the telecom sector, where the need for scale, automation and predictable cost structure at optimal OPEX and CAPEX is more persistent than ever.

5G has proven to be a game-changer for several businesses. Given the advancements in O-RAN contributed by cloud-native design & 5G Core, telecommunication vendors, Communication Service Providers (CSPs), and enterprises are trying to deliver an extraordinary customer experience by leveraging 5G. This also presents a massive opportunity for service providers to simplify and enhance customer experience, fortify existing revenue streams, and tap into new markets.

In today’s world, graphics processing units or GPUs have attracted a lot of attention as the optimal vehicle to run artificial intelligence (AI), machine learning (ML) and deep learning (DL) workloads. These workloads require massive amounts of data, both ultra-high speed and parallel processing, along with flexibility and high availability. It is clear that high-performance computing (HPC) with graphics processing unit (GPU) systems are required to support cutting-edge workloads.