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| （未显示同一用户的4个中间版本） |
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| | Ascend 910系列是基于华为自研Davinci架构的NPU处理器，主要用于数据中心训练场景。主要的芯片类型包括[[Ascend910A]]和[[Ascend910B]] |
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| Architecture of Ascend 910 Chips | | === Architecture of Ascend 910 Chips === |
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| [[Image:Huawei-Ascend-910-AI-Training-Chip-Block-Diagram.jpg|700px]] | | [[Image:Huawei-Ascend-910-AI-Training-Chip-Block-Diagram.jpg|700px]] |
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| Main features:
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| 1. The Huawei Ascend 910 has 32 DaVinci AI cores.
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| 2. The chip combines these DaVinci AI cores with high-speed HBM2 memory.
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| 3. The main chip also has additional logic blocks such as 128 channel video decoding engines.
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| 4. There is a Nimbus V3 chip that handles most of the I/O and is co-packaged alongside the main chip and the HBM2 stacks.
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| 5. The Huawei Ascend 910 is designed to run at a higher power envelope (350W) and higher performance compared to the Ascend 310.
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| 6. Huawei claims 256 TFLOPs of FP16 performance for the Ascend 910.
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| 7. The Tesla V100 has 112-125 TFLOPs for deep learning thanks to its tensor cores.
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2023年11月9日 (四) 10:20的最新版本
Ascend 910系列是基于华为自研Davinci架构的NPU处理器，主要用于数据中心训练场景。主要的芯片类型包括Ascend910A和Ascend910B
Architecture of Ascend 910 Chips
