#cuda
DeepEP is a special communication library for Mixture-of-Experts (MoE) models. It helps these models work faster and more efficiently by improving how data is shared between different parts of the system. DeepEP supports low-precision operations and can handle data transfer between different types of connections, like NVLink and RDMA. This makes it very useful for both training and using AI models, especially when speed is important. Users benefit from faster processing times and better performance overall.
https://github.com/deepseek-ai/DeepEP
Matter exists in different states:
● Solid – fixed shape and volume, particles tightly packed.
● Liquid – fixed volume, no fixed shape, particles slide past each other.
● Gas – no fixed shape or volume, particles far apart.
● Plasma – like gas but particles are charged.
● Glass – between solid and liquid, amorphous.
● Superfluid – liquid with no resistance near absolute zero.
● Bose-Einstein Condensate – particles act as one quantum entity.
● Fermionic Condensate – similar to Bose-Einstein but formed by fermions.
● Dropleton – quantum liquid of electrons and holes.
● Degenerate Matter – exists under extreme pressure inside stars or planets.
Matter changes state when energy is added or removed.
[Source]
https://t.me/googlefactss
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