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Source channel @githubtrending · Post #14834 · Jun 17

#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

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😂👉Вышел Новый Open source и пипец какой мощный го тестить! Цены $0.04 per second for 1080p, $0.08 per second for 1440p $0.16 per second for 2160p 10 sec 4к 50 fps со звуком это лютая лють) Формат можно прописывать в ручную #fal | AcidCrunch

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Host Testing and evaluation

@HostEvaluate · Post #831 · 09/26/2022, 04:39 AM

#AEZA#DE#FAL Host Provider: AEZA Location: Falkenstein, Germany (Combahton) Specification: 1vCore(Ryzen 5950X) | 2GB RAM | 30G NVMe | Unmetered @ 1Gbps | €6.18 / Mo Looking Glass: lg.aeza.net 购买地址 感觉不如直接去买 Hetzner 的公有云或者 OLVPS 法兰克福。顺便吐槽一嘴,他们家 LG 真难用,做 traceroute 主机名也不显示。联通回程 telia, 电信 retn, 移动 de-cix. https://paste.red/p/04b35c727b10

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