Can Decentralised Edge Rendering Technology be economic for real time computing solutions?
Edge rendering covers a range of applications including Metaverse, mobile (internet), and the IoT (Internet of Things), and so in order to deal with compatibility issues across different networks, Caduceus has designed a set of edge rendering and real time computing solutions for different application scenarios and computing modes.
This has not only paved the way for the compatibility of edge rendering across a number of applications, but perhaps more importantly, has helped to optimize performance, security and energy consumption — with a host of added benefits including low cost, flexible features and scalability.
A complete breakdown of these computing solutions and benefits can be found below:
Low cost advantage
Edge rendering and real time computing allows developers to use existing ecosystems rather than having to build and maintain their own infrastructure. This helps to minimize costs and resources, and provides developers with added features such as refined resource configuration (GPU/CPU/Mem), and on average increases the resource of large scale operations by more than 100%.
Flexible features advantage
The development of every business requires a combination of multiple engines or multiple products. If developers choose to build their own products, they will not only need to build various engines, they also won’t be available to select the products by themselves. In the distributed application ecosystem, developers can choose according to their own needs.
High scalability advantage
In the offline self construction feature, users need to estimate their resources in advance by themselves manually. These estimations may lead to waste of resources, at the same time without estimations you won’t be able to satisfy all the business needs. In the distributed application ecosystem, developers will be requested on demand, which is more flexible and fully meets business needs.
In the distributed application ecosystem, user’s streaming features are advanced and compatible with any user environment. These are suitable across a wide range of scenarios and industries ranging from internet, film and games, with features including real time machine learning and IPFS scenarios. And without the need for data transfers or complex integrations.
And looking forward..
Decentralized edge rendering will continue to innovate and drive wide scale adoption amongst developers and consumers in the Metaverse, and is set to become the next trend after cloud computing and big data.
Caduceus aims to lead the charge in this area with its innovative technology and pioneering contributions for developers.
To help further refine efficiencies, features will be developed over time using a feedback loop to improve the basic functions and commercialisation for developers, enterprises and products.
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