<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:media="http://search.yahoo.com/mrss/"><channel><title>반도체 — 데이터블리(Datavely)</title><link>https://datavely.com/tags/%EB%B0%98%EB%8F%84%EC%B2%B4/</link><description>데이터블리(Datavely) — 미국·한국 증시, 가상자산, 환율, 원자재를 팩트와 데이터로 분석하는 마켓 브리핑 블로그</description><generator>Hugo -- gohugo.io</generator><language>ko-KR</language><copyright>© 2026 데이터블리(Datavely). All rights reserved.</copyright><lastBuildDate>Mon, 04 May 2026 00:00:00 +0900</lastBuildDate><image><url>https://datavely.com/images/brand/datavely-mark.svg</url><title>데이터블리(Datavely)</title><link>https://datavely.com/</link></image><atom:link href="https://datavely.com/tags/%EB%B0%98%EB%8F%84%EC%B2%B4/index.xml" rel="self" type="application/rss+xml"/><item><title>AI 서버용 FC-BGA</title><link>https://datavely.com/glossary/fc-bga/</link><pubDate>Mon, 04 May 2026 00:00:00 +0900</pubDate><guid>https://datavely.com/glossary/fc-bga/</guid><description>AI 가속기를 PCB에 연결하는 고급 반도체 패키징. 한국 패키지 기판주의 핵심 모멘텀 키워드.</description><content:encoded>
&lt;h2 class="relative group"&gt;한줄 요약
 &lt;div id="한줄-요약" class="anchor"&gt;&lt;/div&gt;
 
 &lt;span
 class="absolute top-0 w-6 transition-opacity opacity-0 -start-6 not-prose group-hover:opacity-100 select-none"&gt;
 &lt;a class="text-primary-300 dark:text-neutral-700 !no-underline" href="#%ed%95%9c%ec%a4%84-%ec%9a%94%ec%95%bd" aria-label="앵커"&gt;#&lt;/a&gt;
 &lt;/span&gt;
 
&lt;/h2&gt;
&lt;p&gt;&lt;strong&gt;FC-BGA = AI GPU·CPU를 PCB에 연결하는 고급 패키징. 한국 기판주 핵심 수혜 키워드&lt;/strong&gt;&lt;/p&gt;

&lt;h2 class="relative group"&gt;한눈에 보기
 &lt;div id="한눈에-보기" class="anchor"&gt;&lt;/div&gt;
 
 &lt;span
 class="absolute top-0 w-6 transition-opacity opacity-0 -start-6 not-prose group-hover:opacity-100 select-none"&gt;
 &lt;a class="text-primary-300 dark:text-neutral-700 !no-underline" href="#%ed%95%9c%eb%88%88%ec%97%90-%eb%b3%b4%ea%b8%b0" aria-label="앵커"&gt;#&lt;/a&gt;
 &lt;/span&gt;
 
&lt;/h2&gt;
&lt;figure&gt;&lt;img
 class="my-0 rounded-md"
 loading="lazy"
 decoding="async"
 fetchpriority="low"
 alt="한눈에 보기"
 src="https://datavely.com/images/glossary/fc-bga.webp"
 &gt;&lt;/figure&gt;

&lt;h2 class="relative group"&gt;쉽게 이해하기
 &lt;div id="쉽게-이해하기" class="anchor"&gt;&lt;/div&gt;
 
 &lt;span
 class="absolute top-0 w-6 transition-opacity opacity-0 -start-6 not-prose group-hover:opacity-100 select-none"&gt;
 &lt;a class="text-primary-300 dark:text-neutral-700 !no-underline" href="#%ec%89%bd%ea%b2%8c-%ec%9d%b4%ed%95%b4%ed%95%98%ea%b8%b0" aria-label="앵커"&gt;#&lt;/a&gt;
 &lt;/span&gt;
 
&lt;/h2&gt;
&lt;p&gt;칩(반도체)과 PCB(기판)를 연결하는 방식은 크게 두 가지입니다:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;&lt;strong&gt;와이어본드 (옛 방식)&lt;/strong&gt;: 칩 가장자리에서 가는 금선으로 PCB와 연결. 핀 수 한계 + 고주파 손실.&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;FC-BGA (Flip-Chip BGA)&lt;/strong&gt;: 칩을 뒤집어(flip-chip), 칩 아래 표면 전체에 솔더볼 격자(Ball Grid Array)로 PCB와 직결. 핀 수 ↑↑, 신호 손실 ↓, 발열 처리 ↑.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;AI 가속기(NVIDIA H100, AMD MI300 등)처럼 핀 수천 개 + 발열 큰 칩에는 FC-BGA가 사실상 필수.&lt;/p&gt;

&lt;h2 class="relative group"&gt;가치사슬과 한국 관련주
 &lt;div id="가치사슬과-한국-관련주" class="anchor"&gt;&lt;/div&gt;
 
 &lt;span
 class="absolute top-0 w-6 transition-opacity opacity-0 -start-6 not-prose group-hover:opacity-100 select-none"&gt;
 &lt;a class="text-primary-300 dark:text-neutral-700 !no-underline" href="#%ea%b0%80%ec%b9%98%ec%82%ac%ec%8a%ac%ea%b3%bc-%ed%95%9c%ea%b5%ad-%ea%b4%80%eb%a0%a8%ec%a3%bc" aria-label="앵커"&gt;#&lt;/a&gt;
 &lt;/span&gt;
 
&lt;/h2&gt;
&lt;table&gt;
 &lt;thead&gt;
 &lt;tr&gt;
 &lt;th&gt;단계&lt;/th&gt;
 &lt;th&gt;내용&lt;/th&gt;
 &lt;th&gt;한국 관련주&lt;/th&gt;
 &lt;/tr&gt;
 &lt;/thead&gt;
 &lt;tbody&gt;
 &lt;tr&gt;
 &lt;td&gt;칩 설계&lt;/td&gt;
 &lt;td&gt;NVIDIA, AMD, Broadcom&lt;/td&gt;
 &lt;td&gt;(직접 없음)&lt;/td&gt;
 &lt;/tr&gt;
 &lt;tr&gt;
 &lt;td&gt;칩 제조&lt;/td&gt;
 &lt;td&gt;TSMC, Samsung Foundry&lt;/td&gt;
 &lt;td&gt;삼성전자&lt;/td&gt;
 &lt;/tr&gt;
 &lt;tr&gt;
 &lt;td&gt;&lt;strong&gt;패키지 기판&lt;/strong&gt;&lt;/td&gt;
 &lt;td&gt;FC-BGA용 다층 기판&lt;/td&gt;
 &lt;td&gt;&lt;strong&gt;삼성전기, 대덕전자, 심텍, LG이노텍&lt;/strong&gt;&lt;/td&gt;
 &lt;/tr&gt;
 &lt;tr&gt;
 &lt;td&gt;패키징 (OSAT)&lt;/td&gt;
 &lt;td&gt;Amkor, ASE&lt;/td&gt;
 &lt;td&gt;(간접)&lt;/td&gt;
 &lt;/tr&gt;
 &lt;/tbody&gt;
&lt;/table&gt;

&lt;h2 class="relative group"&gt;모멘텀 체크리스트
 &lt;div id="모멘텀-체크리스트" class="anchor"&gt;&lt;/div&gt;
 
 &lt;span
 class="absolute top-0 w-6 transition-opacity opacity-0 -start-6 not-prose group-hover:opacity-100 select-none"&gt;
 &lt;a class="text-primary-300 dark:text-neutral-700 !no-underline" href="#%eb%aa%a8%eb%a9%98%ed%85%80-%ec%b2%b4%ed%81%ac%eb%a6%ac%ec%8a%a4%ed%8a%b8" aria-label="앵커"&gt;#&lt;/a&gt;
 &lt;/span&gt;
 
&lt;/h2&gt;
&lt;ul&gt;
&lt;li&gt;&lt;input disabled="" type="checkbox"&gt; AI capex (NVIDIA·MS·Meta·Google) 가이던스 상향 → FC-BGA 수요 ↑&lt;/li&gt;
&lt;li&gt;&lt;input disabled="" type="checkbox"&gt; 패키지 기판 ASP 인상 발표 (삼성전기·이비덴 분기 실적)&lt;/li&gt;
&lt;li&gt;&lt;input disabled="" type="checkbox"&gt; HBM·CoWoS 신규 진입 발표 (대덕전자→엔비디아 공급 등)&lt;/li&gt;
&lt;li&gt;&lt;input disabled="" type="checkbox"&gt; 일본 이비덴/신코 capacity 증설 또는 부진&lt;/li&gt;
&lt;/ul&gt;

&lt;h2 class="relative group"&gt;주의사항
 &lt;div id="주의사항" class="anchor"&gt;&lt;/div&gt;
 
 &lt;span
 class="absolute top-0 w-6 transition-opacity opacity-0 -start-6 not-prose group-hover:opacity-100 select-none"&gt;
 &lt;a class="text-primary-300 dark:text-neutral-700 !no-underline" href="#%ec%a3%bc%ec%9d%98%ec%82%ac%ed%95%ad" aria-label="앵커"&gt;#&lt;/a&gt;
 &lt;/span&gt;
 
&lt;/h2&gt;
&lt;ul&gt;
&lt;li&gt;기판 capa 증설은 1~2년 lead time. 발표 시점과 실제 매출 반영 시점 분리해서 봐야 함&lt;/li&gt;
&lt;li&gt;일본(이비덴·신코) vs 한국 점유율 경쟁 구도가 핵심 변수&lt;/li&gt;
&lt;li&gt;AI capex 자체가 사이클 — 2024~2026 호황의 지속성에 따라 평가 멀티플 변동&lt;/li&gt;
&lt;/ul&gt;</content:encoded><category>반도체</category></item><item><title>HBM (고대역폭 메모리)</title><link>https://datavely.com/glossary/hbm/</link><pubDate>Mon, 04 May 2026 00:00:00 +0900</pubDate><guid>https://datavely.com/glossary/hbm/</guid><description>AI GPU 옆에 적층된 고대역폭 메모리. 일반 DRAM 대비 대역폭 30배+. SK하이닉스 핵심 수혜주.</description><content:encoded>
&lt;h2 class="relative group"&gt;한줄 요약
 &lt;div id="한줄-요약" class="anchor"&gt;&lt;/div&gt;
 
 &lt;span
 class="absolute top-0 w-6 transition-opacity opacity-0 -start-6 not-prose group-hover:opacity-100 select-none"&gt;
 &lt;a class="text-primary-300 dark:text-neutral-700 !no-underline" href="#%ed%95%9c%ec%a4%84-%ec%9a%94%ec%95%bd" aria-label="앵커"&gt;#&lt;/a&gt;
 &lt;/span&gt;
 
&lt;/h2&gt;
&lt;p&gt;&lt;strong&gt;HBM = AI GPU 옆에 붙는 적층형 고대역폭 메모리. 일반 DRAM 대비 30배+ 빠름&lt;/strong&gt;&lt;/p&gt;

&lt;h2 class="relative group"&gt;한눈에 보기
 &lt;div id="한눈에-보기" class="anchor"&gt;&lt;/div&gt;
 
 &lt;span
 class="absolute top-0 w-6 transition-opacity opacity-0 -start-6 not-prose group-hover:opacity-100 select-none"&gt;
 &lt;a class="text-primary-300 dark:text-neutral-700 !no-underline" href="#%ed%95%9c%eb%88%88%ec%97%90-%eb%b3%b4%ea%b8%b0" aria-label="앵커"&gt;#&lt;/a&gt;
 &lt;/span&gt;
 
&lt;/h2&gt;
&lt;figure&gt;&lt;img
 class="my-0 rounded-md"
 loading="lazy"
 decoding="async"
 fetchpriority="low"
 alt="한눈에 보기"
 src="https://datavely.com/images/glossary/hbm.webp"
 &gt;&lt;/figure&gt;

&lt;h2 class="relative group"&gt;쉽게 이해하기
 &lt;div id="쉽게-이해하기" class="anchor"&gt;&lt;/div&gt;
 
 &lt;span
 class="absolute top-0 w-6 transition-opacity opacity-0 -start-6 not-prose group-hover:opacity-100 select-none"&gt;
 &lt;a class="text-primary-300 dark:text-neutral-700 !no-underline" href="#%ec%89%bd%ea%b2%8c-%ec%9d%b4%ed%95%b4%ed%95%98%ea%b8%b0" aria-label="앵커"&gt;#&lt;/a&gt;
 &lt;/span&gt;
 
&lt;/h2&gt;
&lt;p&gt;DRAM은 책장에 책이 한 줄로 꽂힌 형태(2D 평면 배치).
HBM은 같은 책을 위로 4~12층 쌓고(3D 적층), 각 층을 수직 통로(TSV — Through-Silicon Via)로 한 번에 꺼내 쓸 수 있게 한 구조.&lt;/p&gt;

&lt;h2 class="relative group"&gt;비교
 &lt;div id="비교" class="anchor"&gt;&lt;/div&gt;
 
 &lt;span
 class="absolute top-0 w-6 transition-opacity opacity-0 -start-6 not-prose group-hover:opacity-100 select-none"&gt;
 &lt;a class="text-primary-300 dark:text-neutral-700 !no-underline" href="#%eb%b9%84%ea%b5%90" aria-label="앵커"&gt;#&lt;/a&gt;
 &lt;/span&gt;
 
&lt;/h2&gt;
&lt;table&gt;
 &lt;thead&gt;
 &lt;tr&gt;
 &lt;th&gt;항목&lt;/th&gt;
 &lt;th&gt;DDR5 (일반 DRAM)&lt;/th&gt;
 &lt;th&gt;HBM3e&lt;/th&gt;
 &lt;/tr&gt;
 &lt;/thead&gt;
 &lt;tbody&gt;
 &lt;tr&gt;
 &lt;td&gt;구조&lt;/td&gt;
 &lt;td&gt;2D 단일 die&lt;/td&gt;
 &lt;td&gt;4~12층 적층 + TSV&lt;/td&gt;
 &lt;/tr&gt;
 &lt;tr&gt;
 &lt;td&gt;대역폭&lt;/td&gt;
 &lt;td&gt;~38GB/s&lt;/td&gt;
 &lt;td&gt;~1.2TB/s (30배+)&lt;/td&gt;
 &lt;/tr&gt;
 &lt;tr&gt;
 &lt;td&gt;단가&lt;/td&gt;
 &lt;td&gt;저렴&lt;/td&gt;
 &lt;td&gt;비쌈 (10배+)&lt;/td&gt;
 &lt;/tr&gt;
 &lt;tr&gt;
 &lt;td&gt;용도&lt;/td&gt;
 &lt;td&gt;PC·스마트폰·일반 서버&lt;/td&gt;
 &lt;td&gt;NVIDIA H100/H200, AMD MI300 등 AI 가속기&lt;/td&gt;
 &lt;/tr&gt;
 &lt;tr&gt;
 &lt;td&gt;발열&lt;/td&gt;
 &lt;td&gt;일반&lt;/td&gt;
 &lt;td&gt;적층 + 고대역폭 → 발열 처리 필수&lt;/td&gt;
 &lt;/tr&gt;
 &lt;/tbody&gt;
&lt;/table&gt;

&lt;h2 class="relative group"&gt;가치사슬과 한국 관련주
 &lt;div id="가치사슬과-한국-관련주" class="anchor"&gt;&lt;/div&gt;
 
 &lt;span
 class="absolute top-0 w-6 transition-opacity opacity-0 -start-6 not-prose group-hover:opacity-100 select-none"&gt;
 &lt;a class="text-primary-300 dark:text-neutral-700 !no-underline" href="#%ea%b0%80%ec%b9%98%ec%82%ac%ec%8a%ac%ea%b3%bc-%ed%95%9c%ea%b5%ad-%ea%b4%80%eb%a0%a8%ec%a3%bc" aria-label="앵커"&gt;#&lt;/a&gt;
 &lt;/span&gt;
 
&lt;/h2&gt;
&lt;table&gt;
 &lt;thead&gt;
 &lt;tr&gt;
 &lt;th&gt;단계&lt;/th&gt;
 &lt;th&gt;내용&lt;/th&gt;
 &lt;th&gt;한국 관련주&lt;/th&gt;
 &lt;/tr&gt;
 &lt;/thead&gt;
 &lt;tbody&gt;
 &lt;tr&gt;
 &lt;td&gt;&lt;strong&gt;HBM 메모리 칩&lt;/strong&gt;&lt;/td&gt;
 &lt;td&gt;TSV 적층&lt;/td&gt;
 &lt;td&gt;&lt;strong&gt;SK하이닉스 (50%+), 삼성전자, 마이크론&lt;/strong&gt;&lt;/td&gt;
 &lt;/tr&gt;
 &lt;tr&gt;
 &lt;td&gt;패키징 (CoWoS)&lt;/td&gt;
 &lt;td&gt;HBM + GPU die 결합&lt;/td&gt;
 &lt;td&gt;TSMC (한국 직접 없음)&lt;/td&gt;
 &lt;/tr&gt;
 &lt;tr&gt;
 &lt;td&gt;GPU 설계&lt;/td&gt;
 &lt;td&gt;NVIDIA, AMD&lt;/td&gt;
 &lt;td&gt;(직접 없음)&lt;/td&gt;
 &lt;/tr&gt;
 &lt;/tbody&gt;
&lt;/table&gt;

&lt;h2 class="relative group"&gt;모멘텀 체크리스트
 &lt;div id="모멘텀-체크리스트" class="anchor"&gt;&lt;/div&gt;
 
 &lt;span
 class="absolute top-0 w-6 transition-opacity opacity-0 -start-6 not-prose group-hover:opacity-100 select-none"&gt;
 &lt;a class="text-primary-300 dark:text-neutral-700 !no-underline" href="#%eb%aa%a8%eb%a9%98%ed%85%80-%ec%b2%b4%ed%81%ac%eb%a6%ac%ec%8a%a4%ed%8a%b8" aria-label="앵커"&gt;#&lt;/a&gt;
 &lt;/span&gt;
 
&lt;/h2&gt;
&lt;ul&gt;
&lt;li&gt;&lt;input disabled="" type="checkbox"&gt; NVIDIA·AMD 차세대 GPU 발표 → HBM 세대 전환 (HBM3 → HBM3e → HBM4)&lt;/li&gt;
&lt;li&gt;&lt;input disabled="" type="checkbox"&gt; SK하이닉스 분기 실적: HBM 매출 비중 + ASP 추이&lt;/li&gt;
&lt;li&gt;&lt;input disabled="" type="checkbox"&gt; 삼성전자 HBM3e 엔비디아 퀄(qualification) 통과 여부&lt;/li&gt;
&lt;li&gt;&lt;input disabled="" type="checkbox"&gt; CoWoS 패키지 capa 증설 (TSMC) — HBM 출하 병목 해소&lt;/li&gt;
&lt;/ul&gt;

&lt;h2 class="relative group"&gt;주의사항
 &lt;div id="주의사항" class="anchor"&gt;&lt;/div&gt;
 
 &lt;span
 class="absolute top-0 w-6 transition-opacity opacity-0 -start-6 not-prose group-hover:opacity-100 select-none"&gt;
 &lt;a class="text-primary-300 dark:text-neutral-700 !no-underline" href="#%ec%a3%bc%ec%9d%98%ec%82%ac%ed%95%ad" aria-label="앵커"&gt;#&lt;/a&gt;
 &lt;/span&gt;
 
&lt;/h2&gt;
&lt;ul&gt;
&lt;li&gt;HBM은 capa 증설 lead time 1~2년. 발표와 출하 시점 분리 인식 필요&lt;/li&gt;
&lt;li&gt;마이크론·삼성·SK하이닉스 3사 점유율 변동에 민감 — 1%p 변동도 주가 임팩트 큼&lt;/li&gt;
&lt;li&gt;HBM 의존도가 높을수록 AI capex 사이클 변동 위험에 노출&lt;/li&gt;
&lt;/ul&gt;</content:encoded><category>반도체</category></item></channel></rss>