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		<title>蓝戟Arc Pro B70工作站亮相：双卡液冷</title>
		<link>https://mylogs.cn/%e8%93%9d%e6%88%9farc-pro-b70%e5%b7%a5%e4%bd%9c%e7%ab%99%e4%ba%ae%e7%9b%b8%ef%bc%9a%e5%8f%8c%e5%8d%a1%e6%b6%b2%e5%86%b7/</link>
		
		<dc:creator><![CDATA[steve, zhang]]></dc:creator>
		<pubDate>Sun, 27 Sep 2026 00:20:57 +0000</pubDate>
				<category><![CDATA[科技]]></category>
		<category><![CDATA[AI工作站]]></category>
		<category><![CDATA[Arc Pro B70]]></category>
		<category><![CDATA[英特尔]]></category>
		<category><![CDATA[蓝戟]]></category>
		<category><![CDATA[锐炫显卡]]></category>
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					<description><![CDATA[在本月 22 日举行的英特尔技术创新与产业生态大会（Intel Connection 2026）上，蓝戟（GU [&#8230;]]]></description>
										<content:encoded><![CDATA[<p class="wp-block-paragraph">在本月 22 日举行的<a href="https://mylogs.cn/%e6%b7%b1%e8%93%9dl06%e8%bf%bd%e9%a3%8e%e7%89%8810%e6%9c%88%e4%b8%8a%e5%b8%82%ef%bc%8c%e9%85%8d%e7%a2%b3%e7%ba%a4%e7%bb%b4%e5%b0%be%e7%bf%bcai%e5%ba%a7%e8%88%b1/">英特尔</a>技术创新与产业生态大会（Intel Connection 2026）上，蓝戟（GUNNIR）首次在线下展示了基于锐炫专业版（Arc Pro）B70 显卡的双卡液冷工作站与迷你工作站解决方案。</p>
<h2 class="wp-block-heading">双形态工作站</h2>
<p class="wp-block-paragraph">这两款设备均采用英特尔酷睿 Ultra 200HX（Arrow Lake HX）处理器平台，分别采用液冷与均热板两种散热方案。在有限的体积内，它们提供了较大的显存容量与可观的 AI <a href="https://mylogs.cn/ai-%e6%99%ba%e8%83%bd%e4%bd%93%e5%bc%95%e7%88%86%e9%9c%80%e6%b1%82%ef%bc%9a%e6%9c%8d%e5%8a%a1%e5%99%a8-cpu-%e4%ba%a4%e4%bb%98%e8%a6%81%e7%ad%89-30-%e5%91%a8/">算力</a>，可支撑多种本地 <a href="https://mylogs.cn/%e8%85%be%e8%ae%af%e5%86%85%e6%b5%8b-ai-%e6%b8%b8%e6%88%8f%e6%90%ad%e5%ad%90%e9%b9%85%e6%ac%a1%e5%85%83%ef%bc%9a%e6%95%b0%e5%ad%97%e4%ba%ba%e9%99%aa%e4%bd%a0%e5%bc%80%e9%bb%91/">AI 应用</a>场景。</p>
<h2 class="wp-block-heading">专业显卡阵容</h2>
<p class="wp-block-paragraph">除了双卡与迷你工作站，蓝戟还在展会上展出了基于锐炫专业版 B50 与 B65 的 MXM 外形规格独立显卡。MXM 规格常见于需要定制化、可更换显卡的小型化与嵌入式设备，面向专业工作站与行业客户。</p>
<p class="wp-block-paragraph">在 AI 推理与本地<a href="https://mylogs.cn/chatgpt-pro-%e9%87%8d%e5%bc%80-200-%e7%be%8e%e5%85%83%e6%a1%a3%ef%bc%9aapi-%e4%bb%b7%e5%80%bc%e8%bf%91%e7%bf%bb%e5%80%8d/">大模型</a>逐步走向端侧部署的背景下，蓝戟以 Arc Pro 专业显卡为核心搭建工作站方案，意在为需要本地算力的创意设计、工程仿真与 AI 开发等场景，提供高显存、小体积的硬件选择。</p>
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