[NVIDIA GTC Taipei & Computex 2026 Special Feature ①] Cosmos 3, RTX Spark, and Vera Rubin Change the Order of AI Factories, PCs, Robots, and Autonomous Driving
Published2026.06.04 10:10Nvidia unveiled eight new technologies including Cosmos 3, RTX Spark, Vera Rubin, Vera CPU, Drive Hyperion, and DSX at GTC Taipei 2026, formalizing its AI full-stack strategy. This announcement is evaluated as a declaration of an AI infrastructure platform that connects beyond GPU performance competition to encompass PCs, robots, autonomous vehicles, data centers, and semiconductor fabs.
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[Special Feature] Is 'K-NVIDIA' Possible?… Success Factors for DeepX, FuriosaAI, and Rebellion
We conducted a comprehensive analysis of DeepX, Furiosa AI, and Rebellions' technological capabilities and commercialization strategies, the gap with NVIDIA, and the success conditions for the data center and physical AI markets, to examine the future of domestic AI semiconductors.
2026.04.14by 배종인 기자
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Learning AI Agent Development from NVIDIA
Nvidia will host the "Build-a-Claw" event at Seoul D.CAMP Mapo from April 21st to 22nd, where participants can directly create AI agents.
2026.04.16by 배종인 기자
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NVIDIA Accelerates Practical Application of Quantum Computing
NVIDIA has announced "NVIDIA Ising," the world's first open-source quantum AI model family, opening a path to revolutionary improvements in quantum processor performance and error correction technology.
2026.04.16by 배종인 기자
NVIDIA, “Efficiency equals intelligence”… Accelerating the AI ecosystem with open LLM 'Nemotron'
Bryan Catanzaro, Vice President of Applied Research at Nvidia, emphasized during his keynote speech at the "Nvidia Nemotron Developer Days Seoul 2026" held on the 21st at deCamp in Mapo-gu, Seoul, "Efficiency is intelligence, and the key is to achieve higher levels of artificial intelligence with limited computing resources."
2026.04.22by 배종인 기자
Nota Takes First Place Overall at NVIDIA's 'Nemotron Hackathon'... Demonstrates Potential for Data-Centric AI Optimization
노타가 엔비디아 네모트론 해커톤에서 종합 1위를 차지했다. 노타는 MoE 구조에 특화된 합성 데이터 생성 기술을 기반으로 양자화 성능을 개선하며 Track C 1위를 기록했고, 전체 참가팀 중 최고 평가를 받았다. 이번 결과는 기존 알고리즘 중심의 모델 최적화 방식에서 벗어나 데이터 설계 자체가 성능에 영향을 미칠 수 있음을 보여준 사례로 평가된다. 노타는 향후 엔비디아와의 협력을 바탕으로 산업 현장 적용을 확대할 계획이다.
2026.04.27by 배종인 기자
