Ascend NPU
PulseAugur coverage of Ascend NPU — every cluster mentioning Ascend NPU across labs, papers, and developer communities, ranked by signal.
1 day(s) with sentiment data
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XingChen-AGI releases Xing4.0-29B-A4B with 256K context length
XingChen-AGI has released Xing4.0-29B-A4B, a new large language model in the Xing series, formerly known as TeleChat. This model boasts 29 billion parameters with only 4 billion activated per token, enabling a native co…
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Huawei releases openPangu-2.0-Pro, first 505B model trained on Ascend NPUs
Huawei has released openPangu-2.0-Pro, a large language model with 505 billion parameters and a 512K context window. This model is notable for being the first frontier model fully trained on Ascend NPUs, marking a signi…
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SLAI T-Rex framework optimizes DeepSeek-V4 models on Ascend SuperPOD
Researchers have developed SLAI T-Rex, a framework for optimizing the full-parameter post-training of trillion-parameter MoE models on Ascend SuperPOD infrastructure. This system achieved 34.22% Model FLOPs Utilization …