'딥시크'보다 싸게?...국내서도 게임용 칩으로 104배 빠른 AI 기술

<div class="figure-img" data-ke-type="image" data-ke-style="alignCenter" data-ke-mobilestyle="widthOrigin" data-link="https://cafe.daum.net/subdued20club" data-link-newwindow="_blank"><a href="https://cafe.daum.net/subdued20club" target="_blank" class="ke-link"><img src="https://t1.daumcdn.net/cafeattach/1IHuH/c66b4a1a23c64192bd183f48a1868843d96257d5" width="288" height="288" data-img-src="https://t1.daumcdn.net/cafeattach/1IHuH/c66b4a1a23c64192bd183f48a1868843d96257d5" data-origin-width="1024" data-origin-height="1024"></a></div><p style="text-align: center;">출처: <a href="https://v.daum.net/v/20250204050005721" target="_blank" class="ke-link">https://v.daum.net/v/20250204050005721</a></p><div class="figure-open" contenteditable="false" data-ke-type="opengraph" data-ke-align="alignCenter" data-og-type="website" data-og-title="'딥시크'보다 싸게?…국내서도 게임용 칩으로 104배 빠른 AI 기술" data-og-description="중국 AI(인공지능) 스타트업 딥시크가 저사양 AI반도체로 학습한 이른바 '고성능·저비용 AI'를 공개한 가운데 국내에서는 이미 지난해 딥시크가 사용한 H800보다 저렴한 '게임용 GPU(그래픽처리장" data-og-host="v.daum.net" data-og-source-url="https://v.daum.net/v/20250204050005721" data-og-url="https://v.daum.net/v/20250204050005721" data-og-image="http://scrap.kakaocdn.net/dn/wzY5T/bl4L20P1Lzt/5RAu7brAio2ahYvC6iXCzk/kakaolink40_original.jpg?width=1200&height=630"><a href="https://v.daum.net/v/20250204050005721" target="_blank" data-source-url="https://v.daum.net/v/20250204050005721"><div class="og-image"><img class="thumb_img" src="http://scrap.kakaocdn.net/dn/wzY5T/bl4L20P1Lzt/5RAu7brAio2ahYvC6iXCzk/kakaolink40_original.jpg?width=1200&height=630" alt="" xxxxonerror="this.src="//img1.kakaocdn.net/thumb/C200x200/?fname=https%3A%2F%2Ft1.daumcdn.net%2Fcafe_image%2Fcafe_meta_image_190529.png""></div><div class="og-text"><p class="og-title">'딥시크'보다 싸게?…국내서도 게임용 칩으로 104배 빠른 AI 기술</p><p class="og-desc">중국 AI(인공지능) 스타트업 딥시크가 저사양 AI반도체로 학습한 이른바 '고성능·저비용 AI'를 공개한 가운데 국내에서는 이미 지난해 딥시크가 사용한 H800보다 저렴한 '게임용 GPU(그래픽처리장</p><p class="og-host">v.daum.net</p></div></a></div><p style="text-align: left;"><br></p><div class="figure-img" data-ke-type="image" data-ke-style="alignCenter" data-ke-mobilestyle="widthOrigin"><img src="https://t1.daumcdn.net/cafeattach/1IHuH/de3ec20653282e93a1250e66b47e30f254ce79f1" class="txc-image" data-img-src="https://t1.daumcdn.net/cafeattach/1IHuH/de3ec20653282e93a1250e66b47e30f254ce79f1" data-origin-width="1080" data-origin-height="1356"></div><p style="text-align: left;"><br><br></p><div class="figure-img" data-ke-type="image" data-ke-style="alignCenter" data-ke-mobilestyle="widthOrigin"><img src="https://t1.daumcdn.net/cafeattach/1IHuH/f92ae46a10ec12246763824bfd0fcf3b2fe5d9e8" class="txc-image" data-img-src="https://t1.daumcdn.net/cafeattach/1IHuH/f92ae46a10ec12246763824bfd0fcf3b2fe5d9e8" data-origin-width="1080" data-origin-height="1907"></div><div class="figure-img" data-ke-type="image" data-ke-style="alignCenter" data-ke-mobilestyle="widthOrigin"><img src="https://t1.daumcdn.net/cafeattach/1IHuH/5d57eb285476313530f6cefee4a64b1367318809" class="txc-image" data-img-src="https://t1.daumcdn.net/cafeattach/1IHuH/5d57eb285476313530f6cefee4a64b1367318809" data-origin-width="1080" data-origin-height="1536"></div><p style="text-align: left;"><br><br><br><br>전문 출처로~!</p>