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BTC $77,752.64 -3.29%
ETH $2,443.11 -2.84%
BNB $691.23 -3.15%
XRP $1.38 -4.49%
SOL $104.02 -5.03%
TRX $0.3410 +0.93%
DOGE $0.0851 -4.47%
ADA $0.2027 -5.37%
BCH $246.21 -8.74%
LINK $11.45 -4.39%
HYPE $80.31 -4.52%
AAVE $122.04 -5.74%
SUI $0.7432 -5.07%
XLM $0.1790 -4.24%
ZEC $801.84 -1.21%

DeepSeek-V3.2-Exp model officially released and open-sourced

2025-09-29 18:12:55

ChainCatcher message, the DeepSeek-V3.2-Exp model is officially released and open-sourced today. The model introduces a sparse Attention architecture, which can effectively reduce computational resource consumption and improve model inference efficiency. Currently, the model has been officially launched on Huawei Cloud's Model as a Service platform (MaaS). For the DeepSeek-V3.2-Exp model, Huawei Cloud continues to use the large EP parallel deployment scheme, implementing a long-sequence affinity context parallel strategy based on the sparse Attention structure, while also considering model latency and throughput performance.

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