From the perspective of metaverse applications, the complex logic calculations and image calculations of large-scale decentralized metaverse applications themselves require a GPU of a certain scale to allow large-scale metaverse applications to run normally. In order to solve this problem, the Meta GPU designed by the Ethanim system architecture is a targeted metaverse graphics computing solution.
The metaverse needs larger and higher quality image computing, and there are billions of idle GPUs scattered all over the world. Even in the same IDC room, physical machine clusters sometimes cannot be reasonably allocated, resulting in some devices being overloaded and some devices with high idle rates, and the conflict between demand and resource waste is very prominent.
As a key component of Ethanim, Meta GPU is a metaverse-oriented image computing solution. Using virtual resource pooling technology, distributed computing technology and edge computing technology, the system can be more decentralized while increasing the computing power by virtualizing and pooling the scattered idle GPUs into a “pool” and supporting applications to call on demand. This virtual GPU technology is indispensable in distributed systems for metaverse applications, especially for screen rendering of large-scale game applications.
Metaverse applications will require far more image computing than traditional applications, putting increasing pressure on centralized computing. Ethanim’s Mata GPU virtually resources GPU hardware devices in terms of computing power, allowing the computing power of small GPUs to be pooled to process large computations, and the computing power of large GPUs to be split to process multiple small-scale computations in parallel, thereby improving resource utilization. At the same time, edge computing technology can be used to allocate computing work to the computing resources closest to users, reducing the impact of network latency on applications and greatly improving the experience of using online applications.
Meta GPU is an optimized refactoring of GPU computing resources from a hardware perspective and has no impact on the software of the application. Developers can still develop software using the previous way.
More about Ethanim:
Website: https://www.ethanim.network/
Whitepapers（EN）: https://docs.ethanim.network/en/wp/id
Whitepapers（JP）: https://docs.ethanim.network/whitepaper_jp/
Discord: https://discord.com/invite/Uzkat3zarz
Telegram（ANN）:https://t.me/EthanimOfficial
Telegram（EN）: https://t.me/Ethanim_Network
Telegram（JP）: https://t.me/ethanimjp
Twitter: https://twitter.com/Ethanim_Network
Facebook: https://www.facebook.com/ethanimnetwork/
YouTube：https://www.youtube.com/c/EthanimNetwork
Reddit: https://www.reddit.com/r/ethanimnetwork/
Instagram: https://www.instagram.com/ethanimnetwork/
