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28    <title>Arm 機櫃級伺服器已超越 x86,Arm 攜手 NVIDIA 搶代理 AI 商機 | TechNews 科技新報</title>
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34    <meta name="Description" content="人工智慧(AI)基礎設施正在加速向 Arm 架構轉移,基於 Arm 架構的機櫃級伺服器目前已超越 x86,成為加速運算領域的主流平台。 Arm 指出,隨著代理式 AI 快速發展,AI 代理不僅需要更強大的運算能力來執行任務,同時也對安全、隔離與監控機制提出更高要求,Arm 正透過 CPU 與資料處理..." />
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792                            <h1 class="entry-title">Arm 機櫃級伺服器已超越 x86,Arm 攜手 NVIDIA 搶代理 AI 商機</h1>
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797                            <span class="head" style="margin-left:10px;">作者</span>
798							<span class="body"><a href="https://technews.tw/author/yurou/" title="由 林 妤柔 發表" rel="author">林 妤柔</a></span> | 
799                            <span class="head">發布日期</span>
800                    			<span class="body">2026 年 10 月 01 日 17:33 </span> | 
801                                
802                        <span class="head">分類</span>
803
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805																																							<a title="更多AI 人工智慧分類文章" href="https://technews.tw/category/ai/">AI 人工智慧</a>
806																														, 										<a title="更多晶片分類文章" href="https://technews.tw/category/semiconductor/chip/">晶片</a>
807																														, 										<a title="更多處理器分類文章" href="https://technews.tw/category/semiconductor/chip/cpu/">處理器</a>
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883                <div id="outlineList_top" style="display:none;"></div><div id="translated-content" style="display:none; background: #f9f9f9; padding: 15px; margin-top: 80px; margin-bottom: 80px; border-radius: 5px; border: 1px solid #ddd;"></div><p class="p1">人工智慧(<span class="s1">AI</span>)基礎設施正在加速向<span class="s1"> Arm </span>架構轉移,基於<span class="s1"> Arm </span>架構的機櫃級伺服器目前已超越<span class="s1"> x86</span>
883,成為加速運算領域的主流平台。<span id="more-1622776"></span><div class='inside_AD no-ad-env' style='display:none' id='inside_AD'><!-- /95946079/(ON)TN_TW_PC_DTL_Content01_970x250 -->
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889<p class="p1"><span class="s1">Arm </span>指出,隨著代理式<span class="s1"> AI </span>快速發展,<span class="s1">AI </span>代理不僅需要更強大的運算能力來執行任務,同時也對安全、隔離與監控機制提出更高要求,<span class="s1">Arm </span>正透過<span class="s1"> CPU </span>與資料處理單元(<span class="s1">DPU</span>)等基礎設施處理器,建立一套兼顧效能與安全的<span class="s1"> AI </span>運算架構。</p>
890<p class="p1">隨著<span class="s1"> AI </span>代理的規模持續擴大,基礎設施將面臨兩項核心運算需求,一是執行<span class="s1"> AI </span>代理本身所需的運算能力,二則是保護<span class="s1"> AI </span>代理、確保其能在安全環境中運作所需的獨立運算資源。對此,<span class="s1">Arm </span>分別從高效能<span class="s1"> CPU </span>與基礎設施處理器兩個方向提供支援。</p>
891<p class="p1"><span class="s1">Arm </span>指出,<span class="s2">AI </span>代理執行環境、代理框架、編排系統、工具執行以及各類應用都仰賴<span class="s2"> CPU</span>。隨著<span class="s2"> AI </span>代理的能力不斷提升、持續運作能力日益增強,並開始大規模並行運作,對<span class="s2"> CPU </span>的需求也將持續成長。</p>
892<p class="p3">其中,高效能<span class="s3"> Arm CPU </span>可負責執行代理式<span class="s3"> AI </span>工作負載,而基於<span class="s3"> Arm </span>架構的基礎設施處理器,例如<span class="s3"> DPU </span>可提供獨立於主機<span class="s3"> CPU </span>的可觀測性、隔離、策略執行及安全防護能力,讓<span class="s3"> AI </span>代理的運算與安全管理能夠分離。</p>
893<p class="p4"><span class="s4">目前從</span> Arm AGI CPU<span class="s4">、</span>Amazon Graviton<span class="s4">、</span>Google Axion<span class="s4">、</span>Microsoft Cobalt<span class="s4">,到</span> NVIDIA <span class="s4">客製化開發的</span> Vera CPU<span class="s4">,雖然各家產品採用不同的設計,但都建立在</span> Arm <span class="s4">軟體生態系之上。</span>NVIDIA <span class="s4">推出的</span> OpenShell<span class="s4">,則進一步將</span> AI <span class="s4">代理的安全執行能力延伸至這個日益龐大的</span> Arm CPU <span class="s4">生態系。</span></p>
894<p class="p1">除了運行<span class="s1"> AI </span>代理,<span class="s1">AI </span>代理基礎設施還需要獨立的運算資源,在<span class="s1"> AI </span>代理自身的執行環境之外,進行觀測、隔離並執行策略管控。<span class="s1">Arm </span>指出,基於<span class="s1"> Arm </span>架構的<span class="s1"> DPU </span>和基礎設施處理器提供了這一獨立層。透過將網路、監測、隔離和安全等基礎設施服務從主機<span class="s1"> CPU </span>中分離出來,它們建構獨立的控制節點,使其始終獨立於所保護的<span class="s1">AI </span>代理和應用運行。</p>
895<p class="p6"><span class="s4">其中,</span><span class="s5">NVIDIA </span>BlueField-4 <span class="s4">由搭載</span> 64 <span class="s4">個</span> <span class="s5">Arm Neoverse V2</span> <span class="s4">核心的</span> NVIDIA Grace <span class="s4">所驅動,可在主機之外提供獨立的基礎設施環境。</span></p>
896<p class="p1"><span class="s1">Arm </span>指出,目前<span class="s1"> Arm </span>生態的各類運算平台運行代理<span class="s1"> AI </span>工作負載,而獨立的基於<span class="s1"> Arm </span>架構的<span class="s1"> DPU </span>則協助進行觀測、隔離和保護。隨著<span class="s1"> AI </span>代理能力不斷提升、且擁有更強的持續運行能力和自主性,代理式<span class="s1"> AI </span>對運算資源的需求將持續增加。同時,安全能力也必須與運算能力同步擴展,而無需在安全與效能之間有所取捨。</p>
897<p class="p1">(首圖來源:<a href="https://unsplash.com/photos/a-square-object-with-a-purple-light-coming-out-of-it-sin5WZzF1U0">Unsplash</a>)</p>
898<h3 class="p1">延伸閱讀:</h3>
899<ul>
900<li class="entry-title"><a href="https://technews.tw/2026/10/01/amd-ceo-lisa-su-visit-korea/">AMD 執行長蘇姿丰 10 月再訪韓!傳洽談 AI 晶片合作,有望與三星李在鎔會面</a></li>
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902</ul>
903
904			</div>
905
906			<style>
907                    .translate-container {
908                        display: inline-flex;
909                        align-items: center;
910                        gap: 10px; 
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912
913                    #translated-content {
914                        position: relative; 
915                        padding-bottom: 40px; 
916						color: black !important;
917                    }
918					
919					.article-read-more-gradient #translated-content {
920					  margin-top: 0 !important;;
921					  margin-bottom: 20px !important;;
922					}
923
924                    #translate-btn {
925                        padding: 4px 10px;
926                        background-color: #0073aa;
927                        color: #fff;
928                        border: none;
929                        border-radius: 3px;
930                        cursor: pointer;
931                        white-space: nowrap; 
932                    }
933
934                    #loading-spinner {
935                        display: none; 
936                        align-items: center;
937                        gap: 5px;
938                        background: white;
939                    }
940
941                    .spinner {
942                        width: 15px;
943                        height: 15px;
944                        border: 3px solid #f3f3f3;
945                        border-top: 3px solid #0073aa;
946                        border-radius: 50%;
947                        animation: spin 1s linear infinite;
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949
950                    .progress-bar {
951                        display: flex;
952                        align-items: center;
953                        gap: 8px; 
954                    }
955                    
956                    @keyframes spin {
957                        0% { transform: rotate(0deg); }
958                        100% { transform: rotate(360deg); }
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960
961                    .analysis {
962                        font-size: 16px;
963                        font-weight: bold;
964                        position: relative;
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966
967                    .ellipsis {
968                        position: relative;
969                        display: inline-block;
970                        opacity: 0;
971                        animation: ellipsis-animation 1s ease-in-out infinite;
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974                    .ellipsis:nth-child(2) { animation-delay: 0.2s; }
975                    .ellipsis:nth-child(3) { animation-delay: 0.4s; }
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977                    @keyframes ellipsis-animation {
978                        0% { opacity: 0; }
979                        25% { opacity: 1; }
980                        100% { opacity: 0; }
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983                    .google-translate-logo {
984                        position: absolute;
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997                        font-size: 14px; 
998                        color: #fff; 
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1021            
1021<script>
1022                document.addEventListener("DOMContentLoaded", function () {
1023                    const userLang = navigator.language || navigator.userLanguage;
1024                    const targetLang = userLang.startsWith("zh") ? "en" : userLang.split("-")[0];
1025					const free_locked = 1;
1026                    
1027                    const translations = {
1028						"en": { translate: "See Translation", original: "Close" }, // 英文
1029						"zh-TW": { translate: "查看翻譯", original: "關閉翻譯" }, // 繁體中文
1030						"zh-CN": { translate: "查看翻译", original: "关闭翻译" }, // 簡體中文
1031						"ja": { translate: "翻訳を見る", original: "閉じる" }, // 日文
1032						"ko": { translate: "번역 보기", original: "닫기" }, // 韓文
1033						"es": { translate: "Ver traducción", original: "Cerrar" }, // 西班牙文
1034						"pt": { translate: "Ver tradução", original: "Fechar" }, // 葡萄牙文
1035						"fr": { translate: "Voir la traduction", original: "Fermer" }, // 法文
1036						"de": { translate: "Übersetzung anzeigen", original: "Sc
1036hließen" }, // 德文
1037						"it": { translate: "Vedi traduzione", original: "Chiudi" }, // 義大利文
1038						"ru": { translate: "Посмотреть перевод", original: "Закрыть" }, // 俄文
1039						"ar": { translate: "عرض الترجمة", original: "إغلاق" }, // 阿拉伯文
1040						"th": { translate: "ดูคำแปล", original: "ปิด" }, // 泰文
1041						"vi": { translate: "Xem bản dịch", original: "Đóng" }, // 越南文
1042						"nl": { translate: "Vertaling bekijken", original: "Sluiten" }, // 荷蘭文
1043						"tr": { translate: "Çeviriyi gör", original: "Kapat" }, // 土耳其文
1044						"pl": { translate: "Zobacz tłumaczenie", original: "Zamknij" }, // 波蘭文
1045						"sv": { translate: "Se översättning", original: "Stäng" }, // 瑞典文
1046						"fi": { translate: "Katso käännös", original: "Sulje" }, // 芬蘭文
1047						"da": { translate: "Se oversættelse", original: "Luk" }, // 丹麥文
1048						"cs": { translate: "Zobrazit překlad", original: "Zavřít" }, // 捷克文
1049						"hu": { translate: "Fordítás megtekintése", original: "Bezárás" }, // 匈牙利文
1050						"id": { translate: "Lihat terjemahan", original: "Tutup" }, // 印尼文
1051						"ms": { translate: "Lihat terjemahan", original: "Tutup" }, // 馬來文
1052						"he": { translate: "צפה בתרגום", original: "סגור" }, // 希伯來文
1053						"hi": { translate: "अनुवाद देखें", original: "बंद करें" }, // 印地文
1054						"ur": { translate: "ترجمہ دیکھیں", original: "بند کریں" }, // 烏爾都文
1055						"bn": { translate: "অনুবাদ দেখুন", original: "বন্ধ করুন" }, // 孟加拉文
1056						"el": { translate: "Δείτε τη μετάφραση", original: "Κλείσιμο" }, // 希臘文
1057						"ro": { translate: "Vezi traducerea", original: "Închide" }, // 羅馬尼亞文
1058						"bg": { translate: "Виж превода", original: "Затвори" }, // 保加利亞文
1059						"uk": { translate: "Переглянути переклад", original: "Закрити" }, // 烏克蘭文
1060						"sr": { translate: "Погледај превод", original: "Затвори" }, // 塞爾維亞文
1061						"sk": { translate: "Zobraziť preklad", original: "Zavrieť" }, // 斯洛伐克文
1062						"sl": { translate: "Oglejte si prevod", original: "Zapri" }, // 斯洛維尼亞文
1063						"lt": { translate: "Peržiūrėti vertimą", original: "Uždaryti" }, // 立陶宛文
1064						"lv": { translate: "Skatīt tulkojumu", original: "Aizvērt" }, // 拉脫維亞文
1065						"et": { translate: "Vaata tõlget", original: "Sulge" }, // 愛沙尼亞文
1066						"no": { translate: "Se oversettelse", original: "Lukk" }, // 挪威文
1067						"fa": { translate: "مشاهده ترجمه", original: "بستن" }, // 波斯文
1068						"tl": { translate: "Tingnan ang pagsasalin", original: "Isara" }, // 菲律賓文(塔加洛語)
1069						"my": { translate: "ဘာသာပြန်ကြည့်ပါ", original: "ပိတ်ပါ" }, // 緬甸文
1070						"km": { translate: "មើលការបកប្រែ", original: "បិទ" }, // 高棉文
1071						"lo": { translate: "ເບິ່ງຄຳແປ", original: "ປິດ" }, // 寮文
1072						"mn": { translate: "Орчуулгыг харах", original: "Хаах" }, // 蒙古文
1073						"sw": { translate: "Tazama tafsiri", original: "Funga" }, // 斯瓦希里文
1074						"zu": { translate: "Bona ukuhunyushwa", original: "Vala" }, // 祖魯文
1075						"xh": { translate: "Bona uguqulelo", original: "Vala" }, // 科薩文
1076						"af": { translate: "Sien vertaling", original: "Maak toe" } // 南非荷蘭文
1077					};
1078
1079                    const textSet = translations[userLang] || translations["en"];;
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1081                    const translatedContent = document.getElementById("translated-content");
1082                    const loadingSpinner = document.getElementById("loading-spinner");
1083                    const title = 'Arm 機櫃級伺服器已超越 x86,Arm 攜手 NVIDIA 搶代理 AI 商機';
1084                    const member_level = 'none';
1085					const postId = '1622776';
1086					const tnUser = tn_get_user_cookie();
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1089
1090                    if (translateBtn) {
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1092
1093                        translateBtn.addEventListener("click", async function () {
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1095                                loadingSpinner.style.display = "block";
1096								if(tnUser.is_login == ''){
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1109                                        if(tnUser.permission < vipPermission){
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1122                                        postContent = document.querySelector(".indent")?.innerText.trim();
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1125								postContent = cleanTextForTranslation(postContent);
1126                                postContent = title + "\n\n" + postContent;
1127                                const translatedText = await translateText(postContent, targetLang);
1128
1129                                translatedContent.innerHTML = "";
1130                                translatedContent.innerHTML = translatedText;
1131                                translateBtn.textContent = textSet.original;
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1134                                tag.innerText = "Result";
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1136                                loadingSpinner.style.display = "none";
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1140                                translatedContent.style.display = "none";
1141                                translatedContent.innerHTML = "";
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1146
1147                    async function translateText(text, targetLang) {
1148                        const url = "/wp-json/custom/v1/translate/";
1149                        let paragraphs = text.split(/\n\s*\n/); // 根據空行分段(確保段落完整)
1150                        let translatedParagraphs = [];
1151                        let isFirstParagraph = true;
1152
1153                        for (const paragraph of paragraphs) {
1154                            if (paragraph.trim() === "") continue; // 忽略空段落
1155
1156                            const formData = new FormData();
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1159                            formData.append("lang", targetLang);
1160
1161                            try {
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1163                                    method: "POST",
1164                                    body: formData,
1165                                });
1166
1167                                const result = await response.json();
1168                                if (result.translatedText) {
1169                                    let translatedParagraph = result.translatedText;
1170                                    if (isFirstParagraph) {
1171                                        translatedParagraphs.push(`<h1>${result.translatedText}</h1>`);
1172                                        isFirstParagraph = false;
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1174                                    else{
1175                                        translatedParagraphs.push(`<p>${result.translatedText}</p>`);
1176                                    }
1177                                } else {
1178                                    translatedParagraphs.push("[翻譯失敗]");
1179                                }
1180                            } catch (error) {
1181                                console.error("翻譯錯誤:", error);
1182                                translatedParagraphs.push("[翻譯錯誤]");
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1185
1186                        translatedParagraphs.push(
1187                            `<div class="google-translate-logo">
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1189                             </div>`
1190                        );
1191
1192                        return translatedParagraphs.join("\n\n");
1193                    }
1194
1195                    // 移除翻譯後的文本中「Further reading:」及其後的內容
1196                    function removeFurtherReading(translatedText) {
1197                        const furtherReadingPos = translatedText.indexOf('Further reading:');
1198                        if (furtherReadingPos !== -1) {
1199                            return translatedText.substring(0, furtherReadingPos).trim();
1200                        }
1201                        return translatedText; // 若沒有發現「Further reading:」則返回原文本
1202                    }
1203
1204                    function cleanTextForTranslation(text) {
1205                        return text
1206                            .split('\n')  // 先將文章分成多行
1207                            .filter(line => !/^▲/.test(line) && !/(圖片來源:/.test(line))  // 過濾掉符合條件的行
1208                            .join('\n'); // 重新組合成文字
1209                    }
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1211            </script>
1211
1212		
1213            
1214			
1215                <!-- 20240612-請我們喝杯咖啡 btn 移植手機版按鈕-->
1216                <div class="coffee-btn-wrapper" style="display:none;">
1217                    <p>文章看完覺得有幫助,何不給我們一個鼓勵</p>
1218                    <div class="coffee-btn-content">
1219                        <a id="bmc-open-btn" class="coffee-btn" data-post-id="1622776" data-post-title="Arm 機櫃級伺服器已超越 x86,Arm 攜手 NVIDIA 搶代理 AI 商機" rel="nofollow">
1220                            <span>請我們喝杯咖啡</span>
1221                            <img src="https://img.technews.tw/wp-content/themes/twentytwelve/images/bymeacoffee/icon-coffee01.png" alt="icon-coffee">
1222                        </a>
1223                    </div>
1224                </div>
1225                <!-- 請我們喝咖啡 popup model -->
1226                <div id="bmc-tn-modal" class="tn-modal">
1227    <div class="tn-modal-content">
1228        <div class="tn-modal-content-dash">
1229            <div class="tn-modal-title coffee">
1230                <h2>想請我們喝幾杯咖啡?</h2>
1231            </div>
1232            <div class="coffee-detail-text">
1233                <img src="https://img.technews.tw/wp-content/themes/twentytwelve/images/bymeacoffee/icon-tag.png" alt="icon-tag">
1234                <h3>每杯咖啡 65 元</h3>
1235            </div>
1236            <div class="coffee-list">
1237                <div class="coffee-item" data-coffee-value="1">
1238                    <img src="https://img.technews.tw/wp-content/themes/twentytwelve/images/bymeacoffee/icon-coffee01.png" alt="icon-coffee">
1239                    <span class="mark">x</span>
1240                    <span class="amount">1</span>
1241                </div>
1242                <div class="coffee-item" data-coffee-value="3">
1243                    <img src="https://img.technews.tw/wp-content/themes/twentytwelve/images/bymeacoffee/icon-coffee01.png" alt="icon-coffee">
1244                    <span class="mark">x</span>
1245                    <span class="amount">3</span>
1246                </div>
1247                <div class="coffee-item" data-coffee-value="5">
1248                    <img src="https://img.technews.tw/wp-content/themes/twentytwelve/images/bymeacoffee/icon-coffee01.png" alt="icon-coffee">
1249                    <span class="mark">x</span>
1250                    <span class="amount">5</span>
1251                </div>
1252                <div class="coffee-item tn-modal-form" data-coffee-value="0">
1253                    <img src="https://img.technews.tw/wp-content/themes/twentytwelve/images/bymeacoffee/icon-coffee01.png" alt="icon-coffee">
1254                    <span class="mark">x</span>
1255                    <input type="number" id="bmc-custom-value" min="1" max="100" maxlength="3" class="tn-modal-form-control">
1256                </div>
1257            </div>
1258            <div class="coffee-detail-content-text">
1259                <p>您的咖啡贊助將是讓我們持續走下去的動力</p>
1260            </div>
1261            <div class="coffee-detail-text">
1262                <b>總金額共新臺幣 <span id="bmc-coffee-total">0</span> 元</b>
1263            </div>
1264            <a href="/aboutus/buy-me-a-coffee-policy/" target="_blank" class="tn-modal-link">《關於請喝咖啡的 Q & A》</a>
1265        </div>
1266        <div class="hr"></div>
1267        <div class="tn-modal-content-dash">
1268            <div class="tn-modal-form">
1269                <label for="message"><h3 class="tn-modal-title-sub">留給我們的話</h3></label>
1270                <textarea id="bmc-message" cols="30" rows="5" maxlength="200" style="min-width:500px;"
1271                          placeholder="歡迎留言給我們,給我們更多支持與鼓勵!" class="tn-modal-form-control"></textarea>
1272            </div>
1273        </div>
1274        <div class="tn-modal-content-btn">
1275            <a href="javascript:void(0)" class="tn-modal-btn" id="bmc-close-btn" rel="nofollow">取消</a>
1276            <a href="javascript:void(0)" class="tn-modal-btn" id="bmc-submit-btn" rel="nofollow">確認</a>
1277        </div>
1278    </div>
1279</div>
1280
1281<!-- 20231204-請我們喝杯咖啡 JS -->
1282<script>
1283    const bmcOpenBtn = document.querySelector("#bmc-open-btn");
1284    const bmcCloseBtn = document.querySelector("#bmc-close-btn");
1285    const bmcModal = document.querySelector("#bmc-tn-modal");
1286    const bmcSubmitBtn = document.querySelector("#bmc-submit-btn");
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1289    bmcOpenBtn.addEventListener('click',function(e){
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1291        bmcModal.classList.add('open')
1292        document.body.classList.add('modal-open')
1293    });
1294
1295    bmcCloseBtn.addEventListener('click',function(e){
1296        e.preventDefault();
1297        bmcModal.classList.remove('open')
1298        document.body.classList.remove('modal-open')
1299    });
1300
1301    ['keyup', 'change'].forEach(function(event) {
1302        bmcCustomInput.addEventListener(event, function() {
1303            this.value = this.value.replace(/[^\d]/g, '');
1304            tnChangeCoffeeTotal();
1305        });
1306    });
1307
1308    bmcSubmitBtn.addEventListener('click',function(e){
1309        e.preventDefault();
1310        const activeCoffeeItem = document.querySelector('.coffee-item.active');
1311
1312        if (!activeCoffeeItem) {
1313            alert('請選擇杯數');
1314            return;
1315        }
1316
1317        let coffeeValue = activeCoffeeItem.getAttribute('data-coffee-value');
1318        if (coffeeValue == 0) {
1319            coffeeValue = bmcCustomInput.value;
1320            if (coffeeValue == 0 || coffeeValue == '') {
1321                alert('請輸入杯數');
1322                return;
1323            }
1324
1325            let isInteger = /^\d+$/.test(coffeeValue);
1326            if (!isInteger) {
1327                alert('杯數錯誤');
1328                return;
1329            }
1330        }
1331
1332        const bmcRequestParam = new URLSearchParams({
1333            post_id: bmcOpenBtn.getAttribute("data-post-id"),
1334            post_title: bmcOpenBtn.getAttribute("data-post-title"),
1335            post_url: document.querySelector('link[rel="canonical"]').getAttribute('href'),
1336            quantity: coffeeValue,
1337            message: document.getElementById('bmc-message').value,
1338        });
1339
1340        location.href = 'https://member.technews.tw/buymeacoffee?' + bmcRequestParam
1341    });
1342
1343    let bmcItems = document.querySelectorAll('.coffee-item');
1344    bmcItems.forEach(function(item){
1345        item.addEventListener('click',function(e){
1346            e.preventDefault();
1347            if (item.dataset.coffeeValue == 0) {
1348                bmcCustomInput.focus();
1349            }
1350            bmcItems.forEach(function(item){
1351                item.classList.remove('active')
1352            })
1353            item.classList.add('active')
1354            tnChangeCoffeeTotal();
1355        })
1356    });
1357
1358    function tnChangeCoffeeTotal() {
1359        const activeCoffeeItem = document.querySelector('.coffee-item.active');
1360        let coffeeValue = activeCoffeeItem.getAttribute('data-coffee-value');
1361        if (coffeeValue == 0) {
1362            coffeeValue = bmcCustomInput.value;
1363        }
1364        document.getElementById('bmc-coffee-total').innerText = coffeeValue * 65;
1365    }
1366
1367    function tnDonateDisplay() {
1368        const tnUser = tn_get_user_cookie();
1369        let dataSet = jQuery('#lockPost').data(); //文章資訊
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Line numbers count LF bytes from the start of the resource, as the search results do. Vendor segments are library code the classifier recognised; they are stored but not indexed. Bytes are shown as Latin1 characters, one per byte.