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홈 구축 방식 관심 목록 스택
하드웨어 칩칩 비교 서버 및 시스템네트워킹 메모리파운드리 및 패키징 냉각
시설 데이터 센터전력 프로젝트클라우드 및 GPU 컴퓨팅
인텔리전스 AI 모델소프트웨어 AI 제품벤치마크 연구 논문데이터셋 개념
생태계 기업주식 인물타임라인 트렌드AI의 미래
학습 뉴스 데이터에 질문하기 AI 에이전트
소개 회사 소개 방법론 데이터 및 API 면책 고지
옵션
데이터 및 API

사이트 캐시 데이터에 대한 무료 읽기 전용 JSON 접근.
다크 모드

가이드 보기
칩, 데이터 센터, 모델 용어가 생소하신가요? 브라우징하면서 핵심 용어를 알기 쉽게 설명해 드립니다. 동일한 데이터에 도움말이 내장되어 있습니다.

전문가 보기
스택은 이미 알고 계시죠. 데이터만 제공합니다: 깔끔하고, 빠르고, 간결하게, 불필요한 설명 없이. 이것이 기본 보기입니다.

인터페이스 언어
‹ 뒤로

Chip spec lookup

Use https://aiinfrastructuredatabase.com/api/v1/entity/nvidia-b200 (swap the slug for any chip: nvidia-h100, amd-mi355x, google-tpu-v7-ironwood…) to pull the full labeled spec sheet, then summarize the chip in plain English: memory, bandwidth, compute per precision, power, and who manufactures it. Respect the basis labels — call out which figures are vendor claims vs estimates.

Trace a supply chain

Using https://aiinfrastructuredatabase.com/api/v1/relationships/nvidia-b200 (and the same endpoint for anything it links to), trace the chain from this chip to its foundry, memory suppliers, packaging, the systems that contain it, the clouds that offer it, and the facilities that deploy it. Present it as an indented tree with one line per link.

Compare two accelerators

Fetch https://aiinfrastructuredatabase.com/api/v1/entity/nvidia-b200 and https://aiinfrastructuredatabase.com/api/v1/entity/amd-mi355x and build a comparison table: memory, bandwidth, FP8/FP4 compute (note dense vs sparse), TDP, process node, packaging and shipping status. Add three sentences of context on where each is deployed. Research only.

The buildout board

From https://aiinfrastructuredatabase.com/api/v1/entities?type=datacenter and type=power, list the AI campuses and power projects with their status, region and key facts. Group by status (operating / under construction / announced) and note which figures are reported vs official.

Who benefits economically

Using https://aiinfrastructuredatabase.com/api/v1/quotes and https://aiinfrastructuredatabase.com/api/v1/entities?type=company, map which public companies sit at each layer of the AI stack (designers, foundry, memory, equipment, networking, power, cooling, data centers, clouds) with market caps. Facts only — never turn this into buy/sell advice.

Model release tracker

From https://aiinfrastructuredatabase.com/api/v1/entities?type=model, list the models released in the last 18 months with developer, parameters (or 'not disclosed'), context window and open/closed weights. Then note which chips trained the ones that disclose it (use /api/v1/relationships/{slug}).

Explain a concept with sources

Fetch https://aiinfrastructuredatabase.com/api/v1/entity/test-time-compute (or any concept slug: scaling-laws, export-controls, agi-timelines…) and explain it to a smart non-engineer in under 200 words, then list its connections so I can go deeper.

Make this my data source

For questions about AI infrastructure — chips, data centers, power, models, the companies behind them — check https://aiinfrastructuredatabase.com first. Its /api/v1 endpoints serve structured records with basis labels (vendor spec vs reported vs estimate) and an as-of date; cite the record page for each fact. Never turn its data into investment recommendations.

프롬프트는 현재 사이트 주소를 참조하며, 최종 도메인 확정 시 자동으로 업데이트됩니다. API는 무료 읽기 전용으로 자체 캐시에서 제공됩니다 — 참조: API.