Nvidia Makes Bold Move to Become AI Datacenter 'Operating System'
Published2026.10.16 14:26At the OCP Global Summit 2026, Nvidia disclosed not only the rack design of its next-generation AI platform 'Vera Rubin,' but also extensively revealed datacenter buildings, power grids, operational software, and network specifications. This is interpreted not merely as a technology disclosure but as a strategy to establish its design as the standard for AI infrastructure. Particularly, the 800V direct current power grid, open datacenter standard, DSX open-source software, and collaboration with Google, Meta, and Cisco are expanding the competitive landscape of the AI industry from GPUs to networks, power, cooling, and operations. Through 'openness,' Nvidia has embarked on securing leadership across the entire AI datacenter ecosystem.
Comments
Related news
DEEPX NPU Designated as 'Excellence in Research and Development Innovation Product' by Ministry of Science and ICT
DEEPX's NPU-based AI semiconductor 'DX-M1·DX-H1 series' has been designated as an Excellence in Research and Development Innovation Product by the Ministry of Science and ICT. As a low-power edge AI chip that reduces power consumption by up to 93% compared to NVIDIA GPUs, it will be eligible for government procurement contracts for three years. Within one year of mass production, the company has secured purchase orders exceeding 13 million dollars from over 10 countries including the United States, China, Taiwan, and Europe, and has delivery records for the Defense Ministry Air Force base perimeter surveillance system.
2026.08.19by 배종인 기자
Nvidia Vera CPU Introduced in SpaceXAI's Agentic AI Infrastructure
Nvidia's Vera CPU is being introduced in SpaceXAI's agentic AI infrastructure. Through the development of first-generation Starmind AI satellites based on Vera Rubin NVL72, accelerated computing technology is being extended to orbital space. The Vera CPU, composed of 88 Olympus cores, accelerates CPU-intensive tasks during model inference and provides processing speeds up to 1.8 times faster compared to x86 CPUs.
2026.08.25by 배종인 기자
NVIDIA Begins Mass Production of Groq 3 LPX…Achieves 3,400 Tokens Per Second Inference Performance
NVIDIA has started mass production of the Groq 3 LPX AI inference accelerator. Based on the Vera Rubin NVL72 platform, this product achieves 3,400 output tokens per second, raising the performance benchmark in the agentic AI market. With response speeds 4 times faster than existing solutions, agent tasks can be handled within minutes. AI cloud companies Nebius and Groq are planning early adoption.
2026.08.25by 배종인 기자
Nvidia Unveils Jetson Orin Nano 2…78TOPS·2x Inference Performance
Nvidia has unveiled the Jetson Orin Nano 2. It delivers 78TOPS AI computing performance and 2x inference performance compared to the previous model while reducing power consumption by 40%. The device is scheduled for launch in the first half of 2027, and major robotics and drone manufacturers including Cognex, Doosan Bobcat, Matic, and Wing are currently reviewing early adoption.
2026.08.26by 배종인 기자
Lenovo Launches 'ThinkStation P4' with AMD Ryzen Pro 9000
Lenovo Korea has launched the ThinkStation P4 equipped with AMD Ryzen Pro 9000 and NVIDIA RTX Pro 6000 Blackwell GPU in the domestic market. Designed to target professional fields requiring high-performance computing such as design, engineering, and content creation, the system delivers up to 4,000 TOPS AI computational performance and features the first liquid cooling system for workstations. The 3D V-Cache technology enhances response speed in complex computational environments, and the product is being sold through major online marketplaces.
2026.09.01by 배종인 기자
