NVIDIA A100 GPU
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X @Ivan on Tech 🍳📈💰
Ivan on Tech 🍳📈💰· 2025-10-23 17:54
RT @levelsio (@levelsio)What in the F is an AI factory?I had to investigate what the unelected @EU_Commission is talking about todaySo according to them, it's some data centers (which they call supercomputers) in 6 different EU countriesI checked out the most powerful one: Karolina, a Czech data center, it mostly has CPUs though (see pic) not GPUs, so mostly useless for AIThe GPUs it does have are 72x 8x NVIDIA A100 GPU, so 576x A100, or equivalent of 240x H100s(H100 is about 2.4x the compute power of A100) ...
RoboSense 2025机器感知挑战赛正式启动!自动驾驶&具身方向~
自动驾驶之心· 2025-06-25 09:54
Core Viewpoint - The RoboSense Challenge 2025 aims to systematically evaluate the perception and understanding capabilities of robots in real-world scenarios, addressing key challenges in stability, robustness, and generalization of perception systems [2][43]. Group 1: Challenge Overview - The challenge consists of five major tracks focusing on real-world tasks, including language-driven autonomous driving, social navigation, sensor placement optimization, cross-modal drone navigation, and cross-platform 3D object detection [8][9][29][35]. - The event is co-hosted by several prestigious institutions and will be officially recognized at the IROS 2025 conference in Hangzhou, China [5][43]. Group 2: Task Details - **Language-Driven Autonomous Driving**: This track evaluates the ability of robots to understand and act upon natural language commands, aiming for a deep coupling of language, perception, and planning [10][11]. - **Social Navigation**: Focuses on robots navigating shared spaces with humans, emphasizing social compliance and safety [17][18]. - **Sensor Placement Optimization**: Assesses the robustness of perception models under various sensor configurations, crucial for reliable deployment in autonomous systems [23][24]. - **Cross-Modal Drone Navigation**: Involves training models to retrieve aerial images based on natural language descriptions, enhancing the efficiency of urban inspections and disaster responses [29][30]. - **Cross-Platform 3D Object Detection**: Aims to develop models that maintain high performance across different robotic platforms without extensive retraining [35][36]. Group 3: Evaluation and Performance Metrics - Each task includes specific performance metrics and baseline models, with detailed requirements for training and evaluation [16][21][28][42]. - The challenge encourages innovative solutions and provides a prize pool of up to $10,000, shared across the five tracks [42]. Group 4: Timeline and Participation - The challenge will officially start on June 15, 2025, with key deadlines for submissions and evaluations leading up to the award ceremony on October 19, 2025 [4][42]. - Participants are encouraged to engage in this global initiative to advance robotic perception technologies [43].