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        <title>Plaid Labs Blog</title>
        <link>https://blog.plaidlabs.ai</link>
        <description>플래드랩스 블로그</description>
        <pubDate>Tue, 05 Aug 2025 14:34:38 GMT</pubDate>
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              <title>AI Agent는 왜 KV Cache가 중요한가: vLLM과 LMCache로 반복 문맥 비용 줄이기</title>
              <link>https://blog.plaidlabs.ai/vllm-lmcache-kv-cache-ai-agent-serving</link>
              <description>Codex·Claude Code·Hermes Agent처럼 긴 공통 문맥을 반복하는 AI Agent에서 KV Cache와 LMCache가 TTFT와 GPU 비용을 줄이는 원리를 정리합니다.</description>
              <pubDate>Fri, 07 Aug 2026 04:57:03 GMT</pubDate>
              <guid>https://blog.plaidlabs.ai/vllm-lmcache-kv-cache-ai-agent-serving</guid>
              <category>Engineering</category>
              <author>조태완</author>
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              <title>Prometheus, Loki, LiteLLM, Langfuse로 만든 AI 기반 장애 분석 시스템</title>
              <link>https://blog.plaidlabs.ai/prometheus-loki-aibased-failure-analysis</link>
              <description></description>
              <pubDate>Tue, 26 May 2026 04:06:47 GMT</pubDate>
              <guid>https://blog.plaidlabs.ai/prometheus-loki-aibased-failure-analysis</guid>
              <category>Engineering</category>
              <author>서지호</author>
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              <title>LLM을 작게 만드는 여러가지 압축 기술들</title>
              <link>https://blog.plaidlabs.ai/llm-compression-techniques-2026</link>
              <description>BitNet, AutoRound, TurboQuant, REAP 네 가지 LLM 압축 기법의 메커니즘과 NVFP4와의 직교 결합 운영 가이드. 양자화 너머 가중치·KV·expert pruning까지 다루는 시리즈 5편.</description>
              <pubDate>Tue, 12 May 2026 07:43:58 GMT</pubDate>
              <guid>https://blog.plaidlabs.ai/llm-compression-techniques-2026</guid>
              <category>Engineering</category>
              <author>조태완</author>
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              <title>LLM의 추론속도를 빠르게 만드는 비결, Speculative Decoding이란 무엇인가?</title>
              <link>https://blog.plaidlabs.ai/speculative-decoding-llm-inference-acceleration-2026</link>
              <description>Speculative Decoding 원리부터 n-gram·Medusa·EAGLE-3·MTP·DFlash까지 2026 LLM 추론 가속 기법을 한 번에 정리. NVFP4 양자화와의 이중 가속, vLLM·SGLang 실전 활성화까지 다룹니다.</description>
              <pubDate>Tue, 12 May 2026 07:04:32 GMT</pubDate>
              <guid>https://blog.plaidlabs.ai/speculative-decoding-llm-inference-acceleration-2026</guid>
              <category>Engineering</category>
              <author>조태완</author>
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              <title>오픈소스 LLM 동향 2026: DeepSeek-V4·Qwen3.6·GLM-5.1</title>
              <link>https://blog.plaidlabs.ai/open-source-llm-landscape-2026</link>
              <description>TEST MARKER 2026-05-11 — inblog API PATCH 진단용</description>
              <pubDate>Mon, 11 May 2026 10:03:30 GMT</pubDate>
              <guid>https://blog.plaidlabs.ai/open-source-llm-landscape-2026</guid>
              <category>Engineering</category>
              <author>조태완</author>
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              <title>개인용 로컬 LLM 추론의 새 기준, MLX</title>
              <link>https://blog.plaidlabs.ai/mlx-local-llm-inference-apple-silicon</link>
              <description>Mac mini M4 Pro 24GB에서 MLX로 30B급 LLM을 실제로 돌려본 벤치마크와 운영 노하우. 개인용/소규모 팀의 로컬 LLM 추론 기준선을 정리합니다.</description>
              <pubDate>Wed, 06 May 2026 01:04:00 GMT</pubDate>
              <guid>https://blog.plaidlabs.ai/mlx-local-llm-inference-apple-silicon</guid>
              <category>Engineering</category>
              <author>조태완</author>
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              <title>플래드랩스, 2026년 창업지원사업 잇단 선정</title>
              <link>https://blog.plaidlabs.ai/plaid-startup-support-funding-selection</link>
              <description>NUVION의 제조 현장 적용과 사업화 검증을 본격화합니다.</description>
              <pubDate>Wed, 22 Apr 2026 05:14:00 GMT</pubDate>
              <guid>https://blog.plaidlabs.ai/plaid-startup-support-funding-selection</guid>
              <category>Company</category>
              <author>조태완</author>
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              <title>부하테스트를 통한 실시간 스트리밍 및 대시보드 서비스 NUVION 개선기</title>
              <link>https://blog.plaidlabs.ai/nuvion-load-test-streaming-dashboard-improvement-20260310-arch-v4</link>
              <description>실시간 스트리밍, 장치 이벤트, 대시보드 조회가 함께 들어오는 NUVION 백엔드에서 부하테스트로 병목을 특정하고, 코드와 실행 조건을 함께 정리해 개선한 과정.</description>
              <pubDate>Tue, 10 Mar 2026 14:22:11 GMT</pubDate>
              <guid>https://blog.plaidlabs.ai/nuvion-load-test-streaming-dashboard-improvement-20260310-arch-v4</guid>
              <category>Engineering</category>
              <author>서지호</author>
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              <title>실시간 영상은 왜 쿠버네티스에서 어려웠을까: WebRTC 스트리밍 아키텍처 개선기</title>
              <link>https://blog.plaidlabs.ai/webrtc-streaming-architecture</link>
              <description>Kurento를 쿠버네티스에 직접 올리며 겪은 NAT·포트 문제, VM 우회를 거쳐 STUNner로 쿠버네티스 네이티브 WebRTC 아키텍처로 정착한 NUVION 운영 기록.</description>
              <pubDate>Sat, 07 Mar 2026 07:24:44 GMT</pubDate>
              <guid>https://blog.plaidlabs.ai/webrtc-streaming-architecture</guid>
              <category>Engineering</category>
              <author>서지호</author>
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              <title>Plaid Labs AI 에이전트 Part. 2: 필요한 Context만 사용하는 방법</title>
              <link>https://blog.plaidlabs.ai/plaid-labs-ai-context-usage</link>
              <description>플래드랩스가 필요한 context를 뽑을 수 있었던 방법</description>
              <pubDate>Mon, 09 Feb 2026 08:48:15 GMT</pubDate>
              <guid>https://blog.plaidlabs.ai/plaid-labs-ai-context-usage</guid>
              <category>Engineering</category>
              <author>이상민</author>
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              <title>NVIDIA Blackwell 전용 추론 엔진 NVFP4를 활용한 vLLM 로컬 모델 서빙</title>
              <link>https://blog.plaidlabs.ai/nvidia-blackwell-nvfp4-vllm-local-serving</link>
              <description>NVFP4를 쉬운 비유와 실전 예시로 설명하고, Blackwell 듀얼 GPU에서 vLLM 로컬 서빙을 안정적으로 운영하는 방법을 정리한 가이드입니다.</description>
              <pubDate>Sat, 07 Feb 2026 08:03:05 GMT</pubDate>
              <guid>https://blog.plaidlabs.ai/nvidia-blackwell-nvfp4-vllm-local-serving</guid>
              <category>Engineering</category>
              <author>조태완</author>
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              <title>사내 디자인 시스템 구축기 (Part.2)</title>
              <link>https://blog.plaidlabs.ai/sanae-design-system</link>
              <description>자주 변하는 컬러와 타이포를 Figma Tokens Studio로 토큰화해 관리하고 코드와 동기화한 Plaid Labs 사내 디자인 시스템 운영기 2편. 운영 규칙과 도입 효과 정리.</description>
              <pubDate>Fri, 06 Feb 2026 07:40:00 GMT</pubDate>
              <guid>https://blog.plaidlabs.ai/sanae-design-system</guid>
              <category>Engineering</category><category>Design</category>
              <author>정희연</author>
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              <title>OIDC+RBAC 기반 외부 개발자 ArgoCD 권한 공유하기</title>
              <link>https://blog.plaidlabs.ai/oidc-rbac-argocd-permissions</link>
              <description>수 많은 개발 협력 도구들... 계정 관리, 권한 관리 많이 어려우셨죠? OIDC와 RBAC를 통해 일관되게 관리해보세요!</description>
              <pubDate>Mon, 12 Jan 2026 01:06:25 GMT</pubDate>
              <guid>https://blog.plaidlabs.ai/oidc-rbac-argocd-permissions</guid>
              <category>Engineering</category>
              <author>서지호</author>
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              <title>개발자에게 이쁨 받는 디자이너 되기 - 디자인 시스템 편</title>
              <link>https://blog.plaidlabs.ai/developer-designer-design-system</link>
              <description>디자이너 작업물이 실제 제품으로 구현될 때 생기는 커뮤니케이션 비용을 줄이는 디자인 시스템 기반 협업 방식. 개발자와 일관성 있게 협업하는 법을 정리.</description>
              <pubDate>Fri, 09 Jan 2026 06:49:56 GMT</pubDate>
              <guid>https://blog.plaidlabs.ai/developer-designer-design-system</guid>
              <category>Design</category>
              <author>최은정</author>
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              <title>Plaid Labs AI 에이전트 Part. 1: 어제의 회고와 오늘의 이슈로 받는 브리핑</title>
              <link>https://blog.plaidlabs.ai/plaid-ai-agent-1</link>
              <description>매일 아침 자동으로 해주는 브리핑 에이전트</description>
              <pubDate>Wed, 24 Dec 2025 07:08:19 GMT</pubDate>
              <guid>https://blog.plaidlabs.ai/plaid-ai-agent-1</guid>
              <category>Engineering</category>
              <author>이상민</author>
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              <title>사내 디자인 시스템 구축기 (Part.1) </title>
              <link>https://blog.plaidlabs.ai/design-system-creation</link>
              <description>B2B·B2C 프로젝트를 동시에 진행하며 반복되는 컴포넌트 문제를 푸는 Plaid Labs 사내 디자인 시스템 구축기 1편. 타이포·아이콘·컬러 시스템 설계 과정.</description>
              <pubDate>Mon, 22 Dec 2025 02:22:00 GMT</pubDate>
              <guid>https://blog.plaidlabs.ai/design-system-creation</guid>
              <category>Engineering</category><category>Design</category>
              <author>정희연</author>
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              <title>초기 로딩 속도 3초에서 0.8초로: Plaid 홈페이지 성능 최적화</title>
              <link>https://blog.plaidlabs.ai/plaid-homepage-performance-optimization</link>
              <description>제가 홈페이지를 개발하며 마주쳤던 성능 저하의 원인들을 분석하고, 이미지 최적화, 번들 사이즈 축소, 그리고 렌더링 전략을 통해 어떻게 로딩 속도를 0.8초 대까지 단축시켰는지 그 구체적인 과정을 공유하려 합니다.</description>
              <pubDate>Mon, 15 Dec 2025 03:36:00 GMT</pubDate>
              <guid>https://blog.plaidlabs.ai/plaid-homepage-performance-optimization</guid>
              <category>Engineering</category>
              <author>김충영</author>
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              <title>mTLS와 실제 서비스 적용 사례</title>
              <link>https://blog.plaidlabs.ai/mtls-service-applications</link>
              <description> mTLS를 이용한 미디어 서버 통신을 보호하세요!</description>
              <pubDate>Fri, 28 Nov 2025 02:15:00 GMT</pubDate>
              <guid>https://blog.plaidlabs.ai/mtls-service-applications</guid>
              <category>Engineering</category>
              <author>서지호</author>
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              <title>Kubernetes 기반 하이브리드(GCP+On-Premise) 클라우드 구축기</title>
              <link>https://blog.plaidlabs.ai/kubernetes-hybrid-cloud-setup</link>
              <description>쿠버네티스와 Tailscale을 활용한 하이브리드 클라우드를 이용해 비용과 성능 사이의 균형을 찾아보세요.</description>
              <pubDate>Mon, 27 Oct 2025 04:54:31 GMT</pubDate>
              <guid>https://blog.plaidlabs.ai/kubernetes-hybrid-cloud-setup</guid>
              <category>Engineering</category>
              <author>서지호</author>
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              <title>TanStack Query의 모든 것</title>
              <link>https://blog.plaidlabs.ai/tanstack-query-guide</link>
              <description>여러 프로젝트를 진행하면서 다양한 기술과 도구들을 사용해왔는데, 그중에서도 특히 서버 상태 관리에 큰 도움을 주는 TanStack Query에 대해 정리해보려 합니다.</description>
              <pubDate>Sat, 30 Aug 2025 11:22:00 GMT</pubDate>
              <guid>https://blog.plaidlabs.ai/tanstack-query-guide</guid>
              <category>Engineering</category>
              <author>김충영</author>
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