NOW BUZZING 어그가 로퍼를 만든 이유, JW 앤더슨과… · 유니클로가 '다크 아카데미아'를 입기 쉽… · 리미 푸가 스케이트보드를 옷처럼 파는 법◆
NOW BUZZING 어그가 로퍼를 만든 이유, JW 앤더슨과… · 유니클로가 '다크 아카데미아'를 입기 쉽… · 리미 푸가 스케이트보드를 옷처럼 파는 법◆
JELIBI
⌕ SUBSCRIBE
SEOUL · DAILY · ISSUE No.340 WE TRIED IT · THE PICK · BEHIND IT 2026.10.13 · TUE
JELIBI
⌕ SUB
Beauty Body Gadget Bites Buzz World
HOME/GADGET/BEHIND IT
GADGET BEHIND IT · 5 MIN READ

엔비디아, Physical AI Data Factory 블루프린트 공개

JD 젤리비 편집국 · 2026.05.21 SHARE · COPY LINK

무슨 발표인가

  • 로보틱스·비전 AI·자율주행 개발 가속화
  • 합성 데이터 생성·강화학습 자동화
  • 마이크로소프트 Azure·Nebius 등 클라우드 파트너 지원

원문 (영어)

News Summary: Blueprint enables massive-scale data processing and curation, synthetic data generation, reinforcement learning and evaluation of physical AI models for vision AI agents, robotics and autonomous vehicles. Cloud service providers including Microsoft Azure and Nebius provide the blueprint to transform world-scale compute into agent-driven turnkey data production engines.

Leading physical AI developers FieldAI, Hexagon Robotics, Linker Vision, Milestone Systems, Skild AI, Uber and Teradyne Robotics are using the blueprint to accelerate robotics, vision AI agents and autonomous vehicle development. GTC— NVIDIA today announced the NVIDIA Physical AI Data Factory Blueprint, an open reference architecture that unifies and automates how training data is generated, augmented and evaluated, reducing the costs, time and complexity of training physical AI systems at scale.

The blueprint enables developers to use NVIDIA Cosmos open world foundation models and leading coding agents to transform limited training data into large, diverse datasets — including rare edge cases and long-tail scenarios that are expensive, time-consuming and often impractical to capture in the real world.

NVIDIA is collaborating with Microsoft Azure and Nebius to integrate the open blueprint with their cloud infrastructure and services, enabling developers to turn accelerated computing power into high-volume training data. Leading physical AI developers FieldAI , Hexagon Robotics , Linker Vision , Milestone Systems , RoboForce , Skild AI, Teradyne Robotics and Uber are using the blueprint to accelerate robotics, vision AI agents and autonomous vehicle development.

원문: NVIDIA News — "NVIDIA Announces Open Physical AI Data Factory Blueprint to Accelerate Robotics, Vision AI Agents and Autonomous Vehicle Development" (2026-05-21) 공식 원문: https://nvidianews.nvidia.com/news/nvidia-announces-open-physical-ai-data-factory-blueprint-to-accelerate-robotics-vision-ai-agents-and-autonomous-vehicle-development

#NVIDIA News
THE JELIBI BRIEF

A small team that reads too much internet so you don't have to.

SUBSCRIBE →
GADGET

오픈소스 취약점 스캔 서비스 OSS Scanner 무료 출시

GADGET

메타, 싱가포르 장애인을 위해 AI 안경 1000개 기부

GADGET

삼성전자 2026년 3분기 영업이익 107.4조 원 발표

← GADGET BEHIND IT

엔비디아, Physical AI Data Factory 블루프린트 공개

젤리비 편집국·2026.05.21·5 MIN
IN THIS PIECE
무슨 발표인가 원문 (영어)

무슨 발표인가

  • 로보틱스·비전 AI·자율주행 개발 가속화
  • 합성 데이터 생성·강화학습 자동화
  • 마이크로소프트 Azure·Nebius 등 클라우드 파트너 지원

원문 (영어)

News Summary: Blueprint enables massive-scale data processing and curation, synthetic data generation, reinforcement learning and evaluation of physical AI models for vision AI agents, robotics and autonomous vehicles. Cloud service providers including Microsoft Azure and Nebius provide the blueprint to transform world-scale compute into agent-driven turnkey data production engines.

Leading physical AI developers FieldAI, Hexagon Robotics, Linker Vision, Milestone Systems, Skild AI, Uber and Teradyne Robotics are using the blueprint to accelerate robotics, vision AI agents and autonomous vehicle development. GTC— NVIDIA today announced the NVIDIA Physical AI Data Factory Blueprint, an open reference architecture that unifies and automates how training data is generated, augmented and evaluated, reducing the costs, time and complexity of training physical AI systems at scale.

The blueprint enables developers to use NVIDIA Cosmos open world foundation models and leading coding agents to transform limited training data into large, diverse datasets — including rare edge cases and long-tail scenarios that are expensive, time-consuming and often impractical to capture in the real world.

NVIDIA is collaborating with Microsoft Azure and Nebius to integrate the open blueprint with their cloud infrastructure and services, enabling developers to turn accelerated computing power into high-volume training data. Leading physical AI developers FieldAI , Hexagon Robotics , Linker Vision , Milestone Systems , RoboForce , Skild AI, Teradyne Robotics and Uber are using the blueprint to accelerate robotics, vision AI agents and autonomous vehicle development.

원문: NVIDIA News — "NVIDIA Announces Open Physical AI Data Factory Blueprint to Accelerate Robotics, Vision AI Agents and Autonomous Vehicle Development" (2026-05-21) 공식 원문: https://nvidianews.nvidia.com/news/nvidia-announces-open-physical-ai-data-factory-blueprint-to-accelerate-robotics-vision-ai-agents-and-autonomous-vehicle-development

#NVIDIA News
THE JELIBI BRIEF

A small team that reads too much internet so you don't have to.

SUBSCRIBE →
MORE IN BEHIND IT
CJ ENM, 베트남 극장가 15년 점유 — TOP5 중 3편 참여H&M·IKEA, 재활용 섬유 화학 오염 대규모 연구 결과 발표CGV, 진격의 거인 극장판 3편 순차 개봉 — SCREENX·4DX 동시 상영CJ대한통운 AI 물류플랫폼 '더 운반' 기업 공략…10월 운임 50% 할인오픈소스 취약점 스캔 서비스 OSS Scanner 무료 출시
THE JELIBI BRIEF

인터넷을 너무 많이 보는 팀이 대신 골라 옵니다.

SUBSCRIBE

바로가기 등록하시면, 더 쉽게 찾아보실 수 있습니다.