{"id":107079,"date":"2026-09-18T22:17:20","date_gmt":"2026-09-18T14:17:20","guid":{"rendered":"https:\/\/www.wsisp.com\/helps\/107079.html"},"modified":"2026-09-18T22:17:20","modified_gmt":"2026-09-18T14:17:20","slug":"%e4%ba%ba%e5%b7%a5%e6%99%ba%e8%83%bd2026%e4%ba%ba%e5%b7%a5%e6%99%ba%e8%83%bd%e4%b8%8e%e5%a4%a7%e8%af%ad%e8%a8%80%e6%a8%a1%e5%9e%8b%e8%8a%af%e7%89%87%e5%ae%b6%e6%97%8f%e5%8f%82%e8%80%83v02%ef%bc%9a","status":"publish","type":"post","link":"https:\/\/www.wsisp.com\/helps\/107079.html","title":{"rendered":"[\u4eba\u5de5\u667a\u80fd]2026\u4eba\u5de5\u667a\u80fd\u4e0e\u5927\u8bed\u8a00\u6a21\u578b\u82af\u7247\u5bb6\u65cf\u53c2\u8003V02\uff1a\u534e\u4e3a\u3001Nvidia\u3001AMD\u3001Intel\u3001Qualcomm"},"content":{"rendered":"

2026 \u4eba\u5de5\u667a\u80fd\u4e0e\u5927\u8bed\u8a00\u6a21\u578b\u82af\u7247\u5bb6\u65cf\u53c2\u8003：Nvidia\u3001AMD\u3001Intel\u3001Qualcomm \u4e0e\u534e\u4e3a<\/span><\/p>\n

\u591a\u5382\u5546\u6570\u636e\u4e2d\u5fc3\u3001\u8fb9\u7f18\u4e0e\u7ec8\u7aef AI \u52a0\u901f\u5668\u6982\u89c8<\/p>\n

\u514d\u8d23\u58f0\u660e：\u672c\u6587\u6863\u4e3a\u9ad8\u5c42\u6b21\u3001\u793a\u610f\u6027\u7684\u591a\u5382\u5546\u6982\u89c8\u3002\u4ea7\u54c1\u89c4\u683c\u56e0 SKU \u4e0e\u914d\u7f6e\u800c\u5f02，\u6743\u5a01\u6570\u503c\u8bf7\u4ee5\u5404\u5382\u5546\u5b98\u65b9\u6570\u636e\u624b\u518c\u4e3a\u51c6\u3002<\/span><\/p>\n

\n

1. \u6267\u884c\u6458\u8981<\/span><\/h2>\n

\u4eba\u5de5\u667a\u80fd\u5904\u7406\u5668\u5e02\u573a\u5df2\u6210\u4e3a\u534a\u5bfc\u4f53\u884c\u4e1a\u6700\u5177\u6218\u7565\u610f\u4e49\u7684\u7ec6\u5206\u9886\u57df\u4e4b\u4e00\u3002\u5927\u8bed\u8a00\u6a21\u578b（LLM）\u3001\u8ba1\u7b97\u673a\u89c6\u89c9\u3001\u63a8\u8350\u7cfb\u7edf\u4ee5\u53ca\u79d1\u5b66\u8ba1\u7b97\u5747\u4f9d\u8d56\u80fd\u591f\u9ad8\u6548\u6267\u884c\u77e9\u9635\u8fd0\u7b97\u7684\u4e13\u7528\u786c\u4ef6\u3002\u672c\u6587\u6863\u68b3\u7406\u4e86\u4e94\u5bb6\u6709\u5f71\u54cd\u529b\u7684\u5382\u5546\u2014\u2014Nvidia\u3001AMD\u3001Intel\u3001Qualcomm \u4e0e\u534e\u4e3a\u2014\u2014\u6240\u63d0\u4f9b\u7684 AI \u82af\u7247\u5bb6\u65cf，\u6db5\u76d6\u6570\u636e\u4e2d\u5fc3\u8bad\u7ec3\u4e0e\u63a8\u7406\u52a0\u901f\u5668\u3001\u8fb9\u7f18\u4e0e\u6c7d\u8f66\u5e73\u53f0，\u4ee5\u53ca\u7ec8\u7aef\u4fa7\u795e\u7ecf\u7f51\u7edc\u5904\u7406\u5355\u5143（NPU）\u3002<\/p>\n

Nvidia \u51ed\u501f Hopper \u4e0e Blackwell \u67b6\u6784\u53ca CUDA \u8f6f\u4ef6\u751f\u6001，\u4ecd\u662f\u6570\u636e\u4e2d\u5fc3 AI \u8bad\u7ec3\u4e0e\u63a8\u7406 GPU \u7684\u4e3b\u8981\u4f9b\u5e94\u5546\u3002AMD \u901a\u8fc7 Instinct MI300 \u7cfb\u5217\u4e0e\u5f00\u653e\u7684 ROCm \u5e73\u53f0\u83b7\u5f97\u663e\u8457\u8fdb\u5c55\u3002Intel \u63d0\u4f9b Gaudi \u52a0\u901f\u5668\u3001Data Center GPU Max \u4ea7\u54c1，\u5e76\u5728 Core Ultra \u5904\u7406\u5668\u4e2d\u96c6\u6210 NPU\u3002Qualcomm \u4f9d\u6258\u5176\u79fb\u52a8\u9886\u57df\u7ecf\u9a8c，\u63a8\u51fa\u9ad8\u80fd\u6548\u7684 Cloud AI \u63a8\u7406\u52a0\u901f\u5668\u53ca\u96c6\u6210 Hexagon NPU \u7684 Snapdragon \u5e73\u53f0\u3002\u534e\u4e3a\u6301\u7eed\u6784\u5efa\u4ee5\u6607\u817e（Ascend）\u4e3a\u6838\u5fc3\u7684\u672c\u571f AI \u751f\u6001，\u5305\u62ec Ascend 910\u3001Ascend 310 \u5904\u7406\u5668\u53ca Atlas \u786c\u4ef6\u3002<\/p>\n

\"\"<\/p>\n

\u56fe 1：\u5404\u7ec6\u5206\u5e02\u573a AI \u82af\u7247\u793a\u610f\u6027\u5e03\u5c40（\u5206\u6570\u4e3a\u6982\u5ff5\u6027，\u4e0d\u4ee3\u8868\u5e02\u573a\u4efd\u989d）\u3002<\/p>\n

2. AI \u82af\u7247\u5206\u7c7b<\/span><\/h2>\n

AI \u82af\u7247\u53ef\u6309\u5de5\u4f5c\u8d1f\u8f7d\u3001\u90e8\u7f72\u4f4d\u7f6e\u4e0e\u67b6\u6784\u8fdb\u884c\u5206\u7c7b\u3002\u8bad\u7ec3\u52a0\u901f\u5668\u9700\u8981\u652f\u6301\u5927\u6a21\u578b\u3001\u5927\u5bb9\u91cf\u5185\u5b58\u4e0e\u9ad8\u901f\u4e92\u8054；\u63a8\u7406\u52a0\u901f\u5668\u5219\u5f3a\u8c03\u541e\u5410\u3001\u5ef6\u8fdf\u4e0e\u80fd\u6548\u3002\u67b6\u6784\u4e0a\u5305\u62ec\u901a\u7528 GPU\u3001\u56fa\u5b9a\u529f\u80fd NPU\/ASIC\u3001\u53ef\u7f16\u7a0b FPGA \u4ee5\u53ca\u5f02\u6784 SoC\u3002<\/p>\n

\u6570\u503c\u7cbe\u5ea6\u540c\u6837\u5173\u952e：FP32\u3001TF32\u3001BF16\u3001FP16\u3001INT8\u3001FP8 \u4ee5\u53ca\u65b0\u5174\u7684 FP4\/FP6 \u683c\u5f0f\u5728\u7cbe\u5ea6\u4e0e\u901f\u5ea6\/\u5bc6\u5ea6\u4e4b\u95f4\u8fdb\u884c\u6743\u8861\u3002\u786c\u4ef6\u3001\u5185\u5b58\u3001\u4e92\u8054\u4e0e\u8f6f\u4ef6\u7684\u6b63\u786e\u7ec4\u5408\u51b3\u5b9a\u4e86 AI \u57fa\u7840\u8bbe\u65bd\u7684\u603b\u4f53\u62e5\u6709\u6210\u672c\u3002<\/p>\n

3. Vendor AI Chip Families<\/span><\/h2>\n

3.1 Nvidia<\/span><\/h3>\n

Nvidia \u6570\u636e\u4e2d\u5fc3 GPU \u4ea7\u54c1\u56f4\u7ed5 Hopper \u4e0e Blackwell \u67b6\u6784\u6784\u5efa\u3002\u57fa\u4e8e Hopper \u7684 H100 \u4e0e H200 SXM \u6a21\u5757\u5e7f\u6cdb\u5e94\u7528\u4e8e\u5927\u8bed\u8a00\u6a21\u578b\u8bad\u7ec3\u4e0e\u63a8\u7406，\u914d\u5907\u9ad8\u5e26\u5bbd\u5185\u5b58（HBM3\/HBM3E）\u3001\u7b2c\u56db\u4ee3 Tensor Core \u4ee5\u53ca Transformer Engine\u3002\u57fa\u4e8e Blackwell \u7684 B200 \u4e0e GB200 \u8d85\u7ea7\u82af\u7247\u5f15\u5165\u7b2c\u4e8c\u4ee3 Transformer Engine\u3001NVLink 72 \u4ea4\u6362\u673a\u4e92\u8054，\u5e76\u652f\u6301\u66f4\u4f4e\u7cbe\u5ea6\u683c\u5f0f，\u9762\u5411\u4e07\u4ebf\u53c2\u6570\u6a21\u578b\u3002<\/p>\n

\u5728\u8fb9\u7f18\u4e0e\u6c7d\u8f66\u9886\u57df，Nvidia \u63d0\u4f9b Jetson Orin \u4e0e Thor SoC \u4e16\u4ee3，\u4ee5\u53ca\u9762\u5411\u81ea\u52a8\u9a7e\u9a76\u7684 DRIVE \u5e73\u53f0\u3002\u5728\u7ec8\u7aef\u4fa7，GeForce RTX GPU \u914d\u5907 Tensor Core，\u652f\u6301\u6e38\u620f\u3001\u5185\u5bb9\u521b\u4f5c\u4e0e\u5f00\u53d1\u8005\u5de5\u4f5c\u6d41\u7684\u672c\u5730 AI \u52a0\u901f\u3002<\/p>\n\n\n\n\n\n\n\n\n
\n

\u4ea7\u54c1\u5bb6\u65cf<\/p>\n<\/td>\n

\n

\u7ec6\u5206\u5e02\u573a<\/p>\n<\/td>\n

\n

\u5173\u952e\u7279\u6027 \/ \u8bf4\u660e<\/p>\n<\/td>\n

\n

\u5178\u578b\u7528\u9014<\/p>\n<\/td>\n<\/tr>\n

\n

Hopper (H100 \/ H200)<\/span><\/p>\n<\/td>\n

\n

\u6570\u636e\u4e2d\u5fc3<\/span><\/p>\n<\/td>\n

\n

Hopper \u67b6\u6784\u3001HBM3 \/ HBM3E\u3001Transformer Engine\u3001NVLink<\/span><\/p>\n<\/td>\n

\n

\u5927\u8bed\u8a00\u6a21\u578b\u8bad\u7ec3\/\u63a8\u7406\u3001HPC<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

Blackwell (B200 \/ GB200)<\/p>\n<\/td>\n

\n

\u6570\u636e\u4e2d\u5fc3<\/p>\n<\/td>\n

\n

\u7b2c\u4e8c\u4ee3 Transformer Engine\u3001NVLink 72\u3001FP4 \/ FP6 \u652f\u6301<\/p>\n<\/td>\n

\n

\u4e0b\u4e00\u4ee3\u5927\u6a21\u578b\u3001\u8d85\u7ea7\u8ba1\u7b97<\/p>\n<\/td>\n<\/tr>\n

\n

Grace CPU<\/span><\/p>\n<\/td>\n

\n

\u6570\u636e\u4e2d\u5fc3 \/ HPC<\/span><\/p>\n<\/td>\n

\n

Arm \u67b6\u6784\u3001\u9ad8\u5e26\u5bbd\u5185\u5b58\u3001NVLink-C2C<\/span><\/p>\n<\/td>\n

\n

CPU+GPU \u8d85\u7ea7\u82af\u7247\u3001\u6570\u636e\u5904\u7406<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

Jetson Orin \/ Thor<\/p>\n<\/td>\n

\n

\u8fb9\u7f18 \/ \u6c7d\u8f66<\/p>\n<\/td>\n

\n

Ampere \/ Blackwell \u7ea7 GPU\u3001Arm CPU\u3001\u5b89\u5168\u5c9b<\/p>\n<\/td>\n

\n

\u673a\u5668\u4eba\u3001\u8fb9\u7f18 AI\u3001\u81ea\u52a8\u9a7e\u9a76<\/p>\n<\/td>\n<\/tr>\n

\n

GeForce RTX (Ada)<\/span><\/p>\n<\/td>\n

\n

\u7ec8\u7aef \/ \u5de5\u4f5c\u7ad9<\/span><\/p>\n<\/td>\n

\n

Ada Lovelace\u3001Tensor Core\u3001DLSS 3<\/span><\/p>\n<\/td>\n

\n

\u6e38\u620f\u3001\u521b\u4f5c\u8005 AI\u3001\u672c\u5730\u63a8\u7406<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

\n

\"\"<\/p>\n

\u56fe 2：Nvidia \u6570\u636e\u4e2d\u5fc3 GPU \u793a\u610f\u6027\u4ee3\u9645\u8d8b\u52bf（\u76f8\u5bf9\u5cf0\u503c AI \u7b97\u529b\u6307\u6570）\u3002<\/p>\n

3.2 AMD<\/span><\/h3>\n

AMD \u7684 AI \u6218\u7565\u8986\u76d6\u6570\u636e\u4e2d\u5fc3 GPU\u3001\u81ea\u9002\u5e94 SoC \u4e0e\u7ec8\u7aef NPU\u3002Instinct MI300X \u52a0\u901f\u5668\u91c7\u7528\u57fa\u4e8e Chiplet \u7684 CDNA 3 GPU \u67b6\u6784，\u53ef\u5c01\u88c5\u5927\u5bb9\u91cf HBM3 \u663e\u5b58，\u9762\u5411\u751f\u6210\u5f0f AI \u63a8\u7406\u3002MI300A \u5c06 CPU \u4e0e GPU Chiplet \u878d\u5408，\u9002\u7528\u4e8e\u9ad8\u6027\u80fd\u8ba1\u7b97（HPC）\u4e0e AI\u3002AMD \u7684 ROCm \u5f00\u653e\u5e73\u53f0\u63d0\u4f9b\u5e93\u3001\u7f16\u8bd1\u5668\u4e0e\u6846\u67b6\u652f\u6301\u3002<\/p>\n

AMD Versal \u81ea\u9002\u5e94 SoC \u5c06\u53ef\u7f16\u7a0b\u903b\u8f91\u3001\u6807\u91cf\u5904\u7406\u5668\u4e0e AI \u5f15\u64ce\u96c6\u6210，\u7528\u4e8e\u8fb9\u7f18\u63a8\u7406\u4e0e\u4fe1\u53f7\u5904\u7406\u3002\u5728 PC \u7aef，Ryzen AI \u5904\u7406\u5668\u96c6\u6210\u57fa\u4e8e XDNA \u7684 NPU，\u652f\u6301 Windows \u5de5\u4f5c\u5ba4\u6548\u679c\u7b49\u672c\u5730 AI \u8d1f\u8f7d\u3002Radeon GPU \u4e5f\u901a\u8fc7 ROCm \u652f\u6301 AI \u52a0\u901f\u3002<\/p>\n\n\n\n\n\n\n\n\n
\n

\u4ea7\u54c1\u5bb6\u65cf<\/p>\n<\/td>\n

\n

\u7ec6\u5206\u5e02\u573a<\/p>\n<\/td>\n

\n

\u5173\u952e\u7279\u6027 \/ \u8bf4\u660e<\/p>\n<\/td>\n

\n

\u5178\u578b\u7528\u9014<\/p>\n<\/td>\n<\/tr>\n

\n

Instinct MI300X<\/span><\/p>\n<\/td>\n

\n

\u6570\u636e\u4e2d\u5fc3<\/span><\/p>\n<\/td>\n

\n

CDNA3 GPU Chiplet\u3001\u5927\u5bb9\u91cf HBM3\u3001ROCm<\/span><\/p>\n<\/td>\n

\n

\u5927\u6a21\u578b\u63a8\u7406\u3001\u751f\u6210\u5f0f AI<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

Instinct MI300A<\/p>\n<\/td>\n

\n

HPC \/ AI<\/p>\n<\/td>\n

\n

Zen 4 CPU + CDNA3 GPU APU\u3001\u7edf\u4e00\u5185\u5b58<\/p>\n<\/td>\n

\n

HPC\u3001AI \u8bad\u7ec3<\/p>\n<\/td>\n<\/tr>\n

\n

Versal AI Edge \/ VEK<\/span><\/p>\n<\/td>\n

\n

\u8fb9\u7f18 \/ \u5d4c\u5165\u5f0f<\/span><\/p>\n<\/td>\n

\n

AI \u5f15\u64ce\u3001\u53ef\u7f16\u7a0b\u903b\u8f91\u3001Arm \u6838\u5fc3<\/span><\/p>\n<\/td>\n

\n

5G\u3001\u533b\u7597\u3001\u5de5\u4e1a\u89c6\u89c9<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

Ryzen AI (XDNA)<\/p>\n<\/td>\n

\n

\u7ec8\u7aef<\/p>\n<\/td>\n

\n

\u4e13\u7528 NPU\u3001\u4f4e\u529f\u8017\u63a8\u7406<\/p>\n<\/td>\n

\n

\u89c6\u9891\u6548\u679c\u3001\u751f\u4ea7\u529b AI<\/p>\n<\/td>\n<\/tr>\n

\n

Radeon Instinct \/ PRO<\/span><\/p>\n<\/td>\n

\n

\u5de5\u4f5c\u7ad9 \/ \u670d\u52a1\u5668<\/span><\/p>\n<\/td>\n

\n

RDNA \/ CDNA\u3001ROCm \u652f\u6301<\/span><\/p>\n<\/td>\n

\n

\u6e32\u67d3\u3001AI \u5f00\u53d1<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

\n

3.3 Intel<\/span><\/h3>\n

Intel \u7684 AI \u4ea7\u54c1\u7ec4\u5408\u5305\u62ec\u72ec\u7acb\u52a0\u901f\u5668\u3001\u6570\u636e\u4e2d\u5fc3 GPU \u4e0e\u7ec8\u7aef NPU\u3002\u6765\u81ea Intel Habana Labs \u56e2\u961f\u7684 Gaudi3 \u4e0e Gaudi2 \u52a0\u901f\u5668\u9762\u5411\u6df1\u5ea6\u5b66\u4e60\u8bad\u7ec3\u4e0e\u63a8\u7406，\u5f3a\u8c03\u6027\u4ef7\u6bd4\u4e0e\u57fa\u4e8e\u4ee5\u592a\u7f51\u7684\u6269\u5c55\u80fd\u529b\u3002Data Center GPU Max \u7cfb\u5217（Ponte Vecchio）\u4e3a AI \u4e0e HPC \u5de5\u4f5c\u8d1f\u8f7d\u63d0\u4f9b\u5f3a\u5927\u541e\u5410\u3002<\/p>\n

\u5728\u8fb9\u7f18\u4e0e\u7ec8\u7aef\u4fa7，Intel Movidius VPU \u5bb6\u65cf\u652f\u6301\u4f4e\u529f\u8017\u8ba1\u7b97\u673a\u89c6\u89c9\u3002Core Ultra（Meteor Lake \u4e0e Lunar Lake）\u5904\u7406\u5668\u96c6\u6210 NPU \u74e6\u7247，\u4e0e CPU\u3001GPU \u74e6\u7247\u534f\u540c\u5b9e\u73b0\u6df7\u5408 AI\u3002Intel \u7684 oneAPI \u4e0e OpenVINO \u5de5\u5177\u5305\u5e2e\u52a9\u5f00\u53d1\u8005\u5728\u5f02\u6784\u76ee\u6807\u4e0a\u90e8\u7f72\u6a21\u578b\u3002<\/p>\n\n\n\n\n\n\n\n\n
\n

\u4ea7\u54c1\u5bb6\u65cf<\/p>\n<\/td>\n

\n

\u7ec6\u5206\u5e02\u573a<\/p>\n<\/td>\n

\n

\u5173\u952e\u7279\u6027 \/ \u8bf4\u660e<\/p>\n<\/td>\n

\n

\u5178\u578b\u7528\u9014<\/p>\n<\/td>\n<\/tr>\n

\n

Gaudi3 \/ Gaudi2<\/span><\/p>\n<\/td>\n

\n

\u6570\u636e\u4e2d\u5fc3<\/span><\/p>\n<\/td>\n

\n

Habana \u8840\u7edf ASIC\u3001\u5f20\u91cf\/\u6d41\u6c34\u7ebf\/\u77e9\u9635\u6838\u5fc3\u3001\u4ee5\u592a\u7f51\u6269\u5c55<\/span><\/p>\n<\/td>\n

\n

\u6df1\u5ea6\u5b66\u4e60\u8bad\u7ec3\/\u63a8\u7406<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

Data Center GPU Max<\/p>\n<\/td>\n

\n

\u6570\u636e\u4e2d\u5fc3 \/ HPC<\/p>\n<\/td>\n

\n

Ponte Vecchio\u3001\u5927\u91cf Xe \u6838\u5fc3\u3001HBM2e<\/p>\n<\/td>\n

\n

AI\u3001HPC\u3001\u6e32\u67d3<\/p>\n<\/td>\n<\/tr>\n

\n

Core Ultra NPU<\/span><\/p>\n<\/td>\n

\n

\u7ec8\u7aef<\/span><\/p>\n<\/td>\n

\n

Meteor Lake \/ Lunar Lake \u96c6\u6210 NPU \u74e6\u7247<\/span><\/p>\n<\/td>\n

\n

\u7aef\u4fa7 AI\u3001\u89c6\u9891\u4f1a\u8bae<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

Movidius VPU<\/p>\n<\/td>\n

\n

\u8fb9\u7f18<\/p>\n<\/td>\n

\n

\u4f4e\u529f\u8017\u89c6\u89c9\u52a0\u901f\u5668<\/p>\n<\/td>\n

\n

\u6444\u50cf\u5934\u3001\u7269\u8054\u7f51\u89c6\u89c9<\/p>\n<\/td>\n<\/tr>\n

\n

oneAPI \/ OpenVINO<\/span><\/p>\n<\/td>\n

\n

\u8f6f\u4ef6<\/span><\/p>\n<\/td>\n

\n

\u8de8\u67b6\u6784\u5de5\u5177\u3001\u6a21\u578b\u4f18\u5316<\/span><\/p>\n<\/td>\n

\n

Intel \u786c\u4ef6\u8de8\u5e73\u53f0\u90e8\u7f72<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

\n

3.4 Qualcomm<\/span><\/h3>\n

Qualcomm \u7684 AI \u6218\u7565\u5f3a\u8c03\u80fd\u6548\u4e0e\u7aef\u4fa7\u667a\u80fd\u3002Cloud AI 100 \u4e0e Cloud AI 100 Ultra \u52a0\u901f\u5668\u9762\u5411\u6570\u636e\u4e2d\u5fc3\u63a8\u7406，\u5728\u63a8\u8350\u7cfb\u7edf\u3001Transformer \u7b49\u6a21\u578b\u4e0a\u63d0\u4f9b\u9ad8\u80fd\u6548\u541e\u5410\u3002Snapdragon \u79fb\u52a8\u5e73\u53f0\u96c6\u6210 Hexagon NPU，\u5e76\u5728 Snapdragon 8 Gen 3 \u4e0e 8 Elite \u4e16\u4ee3\u4e2d\u6269\u5c55\u4e86 AI \u80fd\u529b\u3002<\/p>\n

\u5728 PC \u9886\u57df，Snapdragon X Elite \u4e0e X Plus \u5e73\u53f0\u5c06 Hexagon NPU \u6027\u80fd\u5f15\u5165 Windows \u7b14\u8bb0\u672c，\u652f\u6301\u7aef\u4fa7\u751f\u6210\u5f0f AI\u3002Qualcomm \u8fd8\u9762\u5411\u6c7d\u8f66\u63a8\u51fa Snapdragon Ride Flex SoC，\u7528\u4e8e\u6570\u5b57\u5ea7\u8231\u4e0e\u81ea\u52a8\u9a7e\u9a76\u3002<\/p>\n\n\n\n\n\n\n\n
\n

\u4ea7\u54c1\u5bb6\u65cf<\/p>\n<\/td>\n

\n

\u7ec6\u5206\u5e02\u573a<\/p>\n<\/td>\n

\n

\u5173\u952e\u7279\u6027 \/ \u8bf4\u660e<\/p>\n<\/td>\n

\n

\u5178\u578b\u7528\u9014<\/p>\n<\/td>\n<\/tr>\n

\n

Cloud AI 100 \/ Ultra<\/span><\/p>\n<\/td>\n

\n

\u6570\u636e\u4e2d\u5fc3\u63a8\u7406<\/span><\/p>\n<\/td>\n

\n

\u4f4e\u529f\u8017\u63a8\u7406 ASIC\u3001PCIe \/ HHHL<\/span><\/p>\n<\/td>\n

\n

\u4e91\u7aef\u63a8\u7406\u3001\u5927\u6a21\u578b\u670d\u52a1<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

Snapdragon 8 Elite \/ Gen 3<\/p>\n<\/td>\n

\n

\u79fb\u52a8<\/p>\n<\/td>\n

\n

Hexagon NPU\u3001INT8 \/ FP16\u3001\u7aef\u4fa7\u751f\u6210\u5f0f AI<\/p>\n<\/td>\n

\n

\u667a\u80fd\u624b\u673a\u3001\u5f71\u50cf\u3001\u52a9\u624b<\/p>\n<\/td>\n<\/tr>\n

\n

Snapdragon X Elite \/ X Plus<\/span><\/p>\n<\/td>\n

\n

\u7ec8\u7aef PC<\/span><\/p>\n<\/td>\n

\n

Oryon CPU + Adreno GPU + Hexagon NPU<\/span><\/p>\n<\/td>\n

\n

Windows on Snapdragon\u3001\u672c\u5730 AI<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

Snapdragon Ride Flex<\/p>\n<\/td>\n

\n

\u6c7d\u8f66<\/p>\n<\/td>\n

\n

\u96c6\u6210 ADAS \u4e0e\u5ea7\u8231\u5904\u7406<\/p>\n<\/td>\n

\n

\u81ea\u52a8\u9a7e\u9a76\u3001\u667a\u80fd\u5ea7\u8231<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

\n

\"\"<\/p>\n

\u56fe 3：\u5404\u7c7b\u522b AI \u82af\u7247\u5178\u578b TDP \u8303\u56f4\u793a\u610f\u3002<\/p>\n

3.5 \u534e\u4e3a<\/span><\/h3>\n

\u534e\u4e3a\u6607\u817e（Ascend）AI \u5904\u7406\u5668\u5bb6\u65cf\u662f\u5176\u672c\u571f AI \u57fa\u7840\u8bbe\u65bd\u7684\u6838\u5fc3\u3002Ascend 910 \u9762\u5411\u8bad\u7ec3，Ascend 310 \u9762\u5411\u8fb9\u7f18\u63a8\u7406\u3002\u8fd9\u4e9b\u5904\u7406\u5668\u9a71\u52a8 Atlas 800 \u8bad\u7ec3\u670d\u52a1\u5668\u3001Atlas 300 \u63a8\u7406\u5361\u4e0e Atlas 200 \u8fb9\u7f18\u6a21\u5757\u3002\u534e\u4e3a\u5c06\u6607\u817e\u786c\u4ef6\u4e0e CANN（Compute Architecture for Neural Networks）\u8f6f\u4ef6\u6808\u53ca MindSpore \u6846\u67b6\u914d\u5957\u4f7f\u7528\u3002<\/p>\n

\u534e\u4e3a\u8fd8\u5c06\u5176 NPU \u80fd\u529b\u96c6\u6210\u5230\u9e92\u9e9f（Kirin）\u79fb\u52a8 SoC \u4e2d，\u4e3a\u667a\u80fd\u624b\u673a\u4e0e\u5e73\u677f\u63d0\u4f9b\u7aef\u4fa7 AI \u529f\u80fd\u3002\u6607\u817e\u751f\u6001\u5728\u4e2d\u56fd\u672c\u571f\u4e91\u4e0e\u4f01\u4e1a\u90e8\u7f72\u4e2d\u5177\u6709\u91cd\u8981\u5730\u4f4d\u3002<\/p>\n\n\n\n\n\n\n\n\n
\n

\u4ea7\u54c1\u5bb6\u65cf<\/p>\n<\/td>\n

\n

\u7ec6\u5206\u5e02\u573a<\/p>\n<\/td>\n

\n

\u5173\u952e\u7279\u6027 \/ \u8bf4\u660e<\/p>\n<\/td>\n

\n

\u5178\u578b\u7528\u9014<\/p>\n<\/td>\n<\/tr>\n

\n

Ascend 910 \/ 910B<\/span><\/p>\n<\/td>\n

\n

\u6570\u636e\u4e2d\u5fc3\u8bad\u7ec3<\/span><\/p>\n<\/td>\n

\n

\u8fbe\u82ac\u5947\u67b6\u6784\u3001HBM\u3001CANN<\/span><\/p>\n<\/td>\n

\n

\u5927\u6a21\u578b\u8bad\u7ec3\u3001\u8d85\u7ea7\u8ba1\u7b97<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

Ascend 310 \/ 310P<\/p>\n<\/td>\n

\n

\u8fb9\u7f18 \/ \u63a8\u7406<\/p>\n<\/td>\n

\n

\u4f4e\u529f\u8017\u8fbe\u82ac\u5947\u6838\u5fc3\u3001INT8 \/ FP16<\/p>\n<\/td>\n

\n

\u8fb9\u7f18\u63a8\u7406\u3001\u667a\u6167\u57ce\u5e02<\/p>\n<\/td>\n<\/tr>\n

\n

Atlas 800 \/ 300 \/ 200<\/span><\/p>\n<\/td>\n

\n

\u670d\u52a1\u5668 \/ \u5361 \/ \u8fb9\u7f18<\/span><\/p>\n<\/td>\n

\n

\u57fa\u4e8e\u6607\u817e\u7684\u96c6\u6210\u7cfb\u7edf<\/span><\/p>\n<\/td>\n

\n

\u8bad\u7ec3\u96c6\u7fa4\u3001\u63a8\u7406\u5361<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

Kirin NPU<\/p>\n<\/td>\n

\n

\u79fb\u52a8<\/p>\n<\/td>\n

\n

\u8fbe\u82ac\u5947\u5fae\u67b6\u6784 NPU<\/p>\n<\/td>\n

\n

\u667a\u80fd\u624b\u673a\u3001\u7aef\u4fa7 AI<\/p>\n<\/td>\n<\/tr>\n

\n

CANN \/ MindSpore<\/span><\/p>\n<\/td>\n

\n

\u8f6f\u4ef6<\/span><\/p>\n<\/td>\n

\n

\u7b97\u5b50\u5e93\u3001\u56fe\u7f16\u8bd1\u5668\u3001\u6846\u67b6<\/span><\/p>\n<\/td>\n

\n

\u6a21\u578b\u8bad\u7ec3\/\u90e8\u7f72<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

\n

4. \u5bf9\u6bd4\u5206\u6790<\/span><\/h2>\n

\u4e0b\u8868\u4ece\u591a\u4e2a\u7ef4\u5ea6\u603b\u7ed3\u4e94\u5bb6\u5382\u5546\u7684\u7279\u70b9\u3002\u7531\u4e8e\u5404\u5382\u5546 SKU \u4f17\u591a\u4e14\u8def\u7ebf\u56fe\u66f4\u65b0\u8fc5\u901f，\u4ee5\u4e0b\u6761\u76ee\u4e3a\u5b9a\u6027\u63cf\u8ff0\u3002<\/p>\n\n\n\n\n\n\n\n\n
\n

\u5382\u5546<\/p>\n<\/td>\n

\n

\u65d7\u8230\u6570\u636e\u4e2d\u5fc3\u5bb6\u65cf<\/p>\n<\/td>\n

\n

\u5173\u952e\u8fb9\u7f18\/\u7ec8\u7aef\u5bb6\u65cf<\/p>\n<\/td>\n

\n

\u4e3b\u8981\u8f6f\u4ef6\u6808<\/p>\n<\/td>\n

\n

\u663e\u8457\u4f18\u52bf<\/p>\n<\/td>\n

\n

\u4ee3\u8868\u6027\u5e94\u7528\u573a\u666f<\/p>\n<\/td>\n<\/tr>\n

\n

Nvidia<\/span><\/p>\n<\/td>\n

\n

Blackwell \/ Hopper<\/span><\/p>\n<\/td>\n

\n

Jetson \/ GeForce RTX<\/span><\/p>\n<\/td>\n

\n

CUDA \/ TensorRT \/ Triton<\/span><\/p>\n<\/td>\n

\n

\u751f\u6001\u6210\u719f\u3001\u8bad\u7ec3\u89c4\u6a21<\/span><\/p>\n<\/td>\n

\n

\u5927\u6a21\u578b\u8bad\u7ec3\u3001HPC\u3001\u81ea\u52a8\u9a7e\u9a76<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

AMD<\/p>\n<\/td>\n

\n

Instinct MI300 \u7cfb\u5217<\/p>\n<\/td>\n

\n

Versal \/ Ryzen AI<\/p>\n<\/td>\n

\n

ROCm \/ OpenVX \/ Ryzen AI SDK<\/p>\n<\/td>\n

\n

HBM \u5bb9\u91cf\u3001\u5f00\u6e90\u63a8\u8fdb<\/p>\n<\/td>\n

\n

\u63a8\u7406\u96c6\u7fa4\u3001\u81ea\u9002\u5e94\u8fb9\u7f18\u3001PC<\/p>\n<\/td>\n<\/tr>\n

\n

Intel<\/span><\/p>\n<\/td>\n

\n

Gaudi3 \/ Data Center GPU Max<\/span><\/p>\n<\/td>\n

\n

Core Ultra NPU \/ Movidius<\/span><\/p>\n<\/td>\n

\n

oneAPI \/ OpenVINO \/ \u6846\u67b6\u63d2\u4ef6<\/span><\/p>\n<\/td>\n

\n

XPU \u5e7f\u5ea6\u3001\u4ee5\u592a\u7f51\u6269\u5c55<\/span><\/p>\n<\/td>\n

\n

\u8bad\u7ec3\u3001\u63a8\u7406\u3001\u7ec8\u7aef AI<\/span><\/p>\n<\/td>\n<\/tr>\n

\n

Qualcomm<\/p>\n<\/td>\n

\n

Cloud AI 100 Ultra<\/p>\n<\/td>\n

\n

Snapdragon X Elite \/ 8 Elite<\/p>\n<\/td>\n

\n

Qualcomm AI Stack \/ QNN<\/p>\n<\/td>\n

\n

\u80fd\u6548\u3001\u7aef\u4fa7 AI<\/p>\n<\/td>\n

\n

\u4e91\u7aef\u63a8\u7406\u3001\u79fb\u52a8\u3001PC AI<\/p>\n<\/td>\n<\/tr>\n

\n

Huawei<\/span><\/p>\n<\/td>\n

\n

Ascend 910 \/ 910B<\/span><\/p>\n<\/td>\n

\n

Ascend 310 \/ Kirin<\/span><\/p>\n<\/td>\n

\n

CANN \/ MindSpore<\/span><\/p>\n<\/td>\n

\n

\u672c\u571f\u5782\u76f4\u6574\u5408<\/span><\/p>\n<\/td>\n

\n

\u4e2d\u56fd\u4e91\u3001\u8fb9\u7f18\u3001\u79fb\u52a8 AI<\/span><\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

\n

5. \u8d8b\u52bf\u4e0e\u5c55\u671b<\/span><\/h2>\n
    \n
  • \u5148\u8fdb\u5c01\u88c5\u4e0e Chiplet \u6b63\u5728\u91cd\u5851 AI \u82af\u7247\u30022.5D \u4e2d\u4ecb\u5c42\u30013D \u5806\u53e0\u3001TSMC CoWoS\u3001Intel EMIB \u4ee5\u53ca UCIe \u6807\u51c6\u4f7f\u5382\u5546\u80fd\u591f\u5c06\u8ba1\u7b97\u3001\u5185\u5b58\u4e0e I\/O \u82af\u7247\u5408\u5c01，\u63d0\u5347\u826f\u7387\u4e0e\u5185\u5b58\u5e26\u5bbd\u3002<\/li>\n
  • \u5185\u5b58\u5bb9\u91cf\u4e0e\u5e26\u5bbd\u4ecd\u662f\u5173\u952e\u74f6\u9888\u3002\u9ad8\u5e26\u5bbd\u5185\u5b58（HBM）\u6301\u7eed\u6f14\u8fdb，HBM3E \u5df2\u91cf\u4ea7，HBM4 \u5728\u8def\u7ebf\u56fe\u4e2d\u3002\u5185\u5b58\u6c60\u5316\u4e0e CXL \u7b49\u7f13\u5b58\u4e00\u81f4\u6027\u4e92\u8054\u53ef\u80fd\u6539\u53d8\u52a0\u901f\u5668\u8de8\u670d\u52a1\u5668\u5171\u4eab\u5185\u5b58\u7684\u65b9\u5f0f\u3002<\/li>\n
  • \u6269\u5c55\u7f51\u7edc\u51b3\u5b9a\u4e86\u591a\u5c11\u52a0\u901f\u5668\u80fd\u4f5c\u4e3a\u5355\u4e00\u903b\u8f91\u5355\u5143\u8fd0\u884c\u3002Nvidia NVLink \/ NVSwitch\u3001AMD Infinity Fabric \u4ee5\u53ca\u57fa\u4e8e\u4ee5\u592a\u7f51\u7684\u65b9\u6848\u5206\u522b\u9488\u5bf9 AI \u96c6\u7fa4\u7684\u4e0d\u540c\u6210\u672c\u4e0e\u6027\u80fd\u9700\u6c42\u3002<\/li>\n
  • \u66f4\u4f4e\u6570\u503c\u7cbe\u5ea6\u4e0e\u7ed3\u6784\u5316\u7a00\u758f\u6027\u88ab\u7528\u6765\u63d0\u5347\u541e\u5410\u3002FP8 \u8bad\u7ec3\u4e0e\u63a8\u7406\u6b63\u6210\u4e3a\u4e3b\u6d41，FP4\/FP6 \u4e0e\u6a21\u578b\u538b\u7f29\u6280\u672f\u65e8\u5728\u964d\u4f4e\u663e\u5b58\u5360\u7528\u4e0e\u6bcf token \u80fd\u8017\u3002<\/li>\n
  • \u529f\u8017\u4e0e\u6563\u70ed\u9650\u5236\u63a8\u52a8\u6db2\u51b7\u4e0e\u4f9b\u7535\u521b\u65b0\u3002\u73b0\u4ee3\u6570\u636e\u4e2d\u5fc3 GPU \u4e0e\u52a0\u901f\u5668\u5355\u5361\u529f\u8017\u53ef\u8fbe\u6570\u767e\u74e6，\u4fc3\u4f7f\u8bbe\u65bd\u91c7\u7528\u6db2\u51b7\u3001\u66f4\u9ad8\u538b\u914d\u7535\u4e0e\u673a\u67b6\u7ea7\u70ed\u8bbe\u8ba1\u3002<\/li>\n
  • \u8f6f\u4ef6\u751f\u6001\u4ecd\u662f\u5173\u952e\u5dee\u5f02\u70b9\u3002\u6846\u67b6\u652f\u6301（PyTorch\u3001TensorFlow\u3001JAX）\u3001\u7f16\u8bd1\u5668\u3001\u8fd0\u884c\u65f6\u670d\u52a1\u7cfb\u7edf（TensorRT-LLM\u3001vLLM\u3001Triton）\u53ca\u5382\u5546 SDK \u5f71\u54cd\u6a21\u578b\u79fb\u690d\u4e0e\u4f18\u5316\u96be\u5ea6\u3002<\/li>\n
  • \u4e3b\u6743 AI\u3001\u533a\u57df\u4f9b\u5e94\u94fe\u4e0e\u51fa\u53e3\u7ba1\u5236\u6b63\u5728\u91cd\u5851\u91c7\u8d2d\u3002\u90e8\u5206\u5e02\u573a\u4f18\u5148\u91c7\u7528\u672c\u571f\u52a0\u901f\u5668\u4e0e\u672c\u5730\u5236\u9020，\u4e3a\u5168\u7403\u5382\u5546\u5e26\u6765\u673a\u9047，\u4e5f\u5e26\u6765\u788e\u7247\u5316\u98ce\u9669\u3002<\/li>\n<\/ul>\n

    6. \u63d2\u56fe\u4e0e\u6570\u636e\u8bf4\u660e<\/span><\/h2>\n

    \u672c\u6587\u6863\u4e2d\u7684\u6240\u6709\u56fe\u8868\u5747\u4e3a\u793a\u610f\u6027\u8bf4\u660e，\u7528\u4e8e\u7a81\u51fa\u5382\u5546\u4e0e\u4ea7\u54c1\u7c7b\u522b\u4e4b\u95f4\u7684\u7ed3\u6784\u6027\u5dee\u5f02，\u5e76\u975e\u6765\u81ea\u5ba1\u8ba1\u540e\u7684\u5e02\u573a\u7814\u7a76\u6570\u636e\u3002\u6027\u80fd\u3001\u529f\u8017\u4e0e presence \u5206\u6570\u5e94\u89c6\u4e3a\u6982\u5ff5\u6027\u53c2\u8003，\u800c\u975e\u7cbe\u786e\u6392\u540d\u3002<\/p>\n

    \u8def\u7ebf\u56fe\u4e0e\u4ea7\u54c1\u540d\u79f0\u53d8\u5316\u9891\u7e41\u3002\u8bfb\u8005\u5728\u91c7\u8d2d\u6216\u5de5\u7a0b\u51b3\u7b56\u524d，\u5e94\u76f4\u63a5\u5411\u5404\u5382\u5546\u6838\u5b9e\u5f53\u524d\u89c4\u683c\u3001\u4f9b\u8d27\u60c5\u51b5\u4e0e\u8f6f\u4ef6\u652f\u6301\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"

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