英伟达发射了首个太空AI服务器，H100已上天

Core Viewpoint - The article discusses the potential of space-based data centers, highlighting that their energy costs could be only one-tenth of those on Earth, while also significantly reducing carbon emissions during their operational lifecycle [1][5]. Group 1: Space Data Center Development - NVIDIA's H100 GPU has been sent to space for the first time, marking a significant step in the development of space data centers [2][3]. - Starcloud's Starcloud-1 satellite will test various AI processing applications in orbit, paving the way for commercial services as early as next year [3][10]. - The satellite will operate in a low Earth orbit approximately 350 kilometers from Earth, processing data from Capella's synthetic aperture radar satellites [5][10]. Group 2: Environmental and Economic Benefits - Space data centers can utilize nearly unlimited low-cost renewable energy, reducing carbon emissions by a factor of ten compared to terrestrial data centers [5][8]. - The anticipated advancements in rocket technology, particularly from SpaceX, are expected to lower the costs of deploying large-scale computing infrastructure in space [7][8]. - Starcloud predicts that nearly all new data centers will be built in space within the next decade due to limitations on terrestrial energy resources [8]. Group 3: Data Processing Efficiency - The satellite is expected to handle 10GB of data per second, allowing for significant reductions in the amount of data that needs to be transmitted back to Earth [6][10]. - By processing data in orbit, only critical information needs to be sent back, drastically reducing the volume of data transmission [6][10]. Group 4: Future Plans and Projections - Starcloud plans to launch a more powerful data center, Starcloud-2, next year, which will utilize NVIDIA's next-generation Blackwell GPU [10]. - A larger 100kW satellite is projected to be launched by 2027, with plans for a 40MW data center in space by the early 2030s, matching the data processing costs of Earth-based centers [10].