Products/Hygon Deep Computing Processor DCU (specific model not disclosed)

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Hygon Deep Computing Processor DCU (specific model not disclosed) - Hygon AI hardware
Hygon · Accelerator Card

Hygon Deep Computing Processor DCU (specific model not disclosed)

Official product section /product/accelerator (English block): the Hygon high-performance deep computing processor is based on a mainstream general-purpose parallel computing architecture and can be used with Hygon CPU; it is widely applicable to scientific computing and AI model training and inference. Advantages: greater computing power; open-source ecosystem with a unified underlying hardware driver platform supporting common computing frameworks, libraries and programming models; a hierarchical software stack adapting to different API interfaces and compilers to maximize reuse of mature...

  • Greater computing power: mainstream general-purpose parallel architecture, paired with Hygon CPU
  • open-source ecosystem: unified underlying hardware driver platform supporting common frameworks, libraries and programming models
  • hierarchical software stack: adapts to different API interfaces and compilers, maximizing reuse of mature AI algorithms and frameworks
  • comprehensive software-stack support covering drivers/Runtime, compilers, libraries and mainstream learning frameworks
Form Factor官网未公布(仅定性呈现为“加速卡/DCU、深度计算处理器”,无板卡型号与形态参数)/ not disclosed
精度算力(FP16/FP8/INT8, TFLOPS/TOPS)/ Precision Compute官网未公布 / not disclosed
Memory Capacity & Bandwidth官网未公布 / not disclosed
Interconnect(PCIe 代数、片间互联)官网未公布 / not disclosed
Power官网未公布 / not disclosed
Software Stack分层软件栈(驱动程序/vBios/API、RunTime、调试工具
LLVM、OpenCL、HIP
MIOpen、Eigen、RCCL、hipsparse、OpenMPI、数学库
主流学习框架)/ hierarchical stack per official diagram
Scientific computingAI model trainingAI model inferencetypical domestic heterogeneous computing applications

官网未公开 DCU 具体型号与数值规格:/product/accelerator 板块无型号代码、无精度算力(TFLOPS/TOPS)、显存容量/带宽、功耗、PCIe 代数、片间互联带宽等任何数字;PDF 资料需在官网“技术文档下载”提交个人信息表单(姓名/公司/职位/邮箱/手机/验证码)后申请,公开文档列表仅见海光处理器(CPU)产品手册、勘误表及基于海光通用处理器的存储/数据库优化指南,无 DCU 硬件规格 PDF;官网中英双语均为定性板块文案,英文列取自官网英文板块(BLOCK#22),无独立英文产品详情页;图片为官网分层软件栈架构图(官网未提供 DCU 板卡实物/渲染图);海光 CPU 7000/5000/3000 系列属处理器产品,不属于本采集的四类算力硬件类别(accelerator_card/server/supernode_cluster/devkit_or_module),未单列条目。