Esri India, the market leader in Geographic Information System (GIS) software, location intelligence, and mapping solutions in India, today announced the launch of GeoSARAL, a Linux-based desktop GIS ...
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Esri India launches GeoSARAL, a cost-effective Linux-based GIS tool
Esri India has launched GeoSARAL, a cost-effective desktop GIS solution for Linux and Windows. Targeting users with basic GIS needs, it supports mapping, visualization, and editing, and integrates ...
近日,Parallels Desktop 27 正式发布。此次更新没有改变虚拟机的核心定位,而是针对几个影响实际体验的方向进行了优化,包括: 新版基于 Apple Metal 架构加入了 OpenGL 4.3 支持,让 Windows 虚拟机能够更充分利用 Mac 的图形处理能力。
New Delhi [India], September 3 (ANI): The software has been developed as part of Esri India’s continued focus on localisation and investments in technology, talent and innovation. GeoSARAL was ...
Esri India highlights how GIS tools enhance climate change mitigation, disaster management, and forestation in India. New GeoSARAL Linux software launched.
Die neue Version der Virtualisierungssoftware bringt Optimierungen für KI, die Intel-Version entfällt dagegen.
近日Parallels Desktop 27 正式推出,除了支援获得macOS Golden Gate 外,它更会进一步提升macOS 在Apple Silicon 平台上的虚拟化效能。最新版本引入基于Metal 的图形驱动程式,让Windows 虚拟机支援OpenGL 4.3,并显著加快本地AI 工作负载处理速度。此外,针对企业IT 团队的新功能亦有助简化管理与部署流程。 OpenGL 4.3 ...
OpenGL 4.3 support improves graphics compatibility and performance, while new AI acceleration helps developers get more from Apple siliconAUSTIN, Texas, Aug. 25, 2026 (GLOBE NEWSWIRE) -- Parallels, a ...
Discover how GeoSARAL, an indigenous Linux-based GIS platform by Esri India, is set to transform urban planning, agriculture, and infrastructure while enhancing data sovereignty and self-reliance in ...
近日有消息称,特斯拉为 FSD 监督版入华筹备的上海数据中心已「人去楼空」,相关对接团队全部撤离。《每日经济新闻》8 月 26 日向特斯拉中国求证,一位内部人士回应称该消息不实。
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全新 Parallels Desktop 27 现已推出:Mac 运行 Windows 新方案
8月31日,苹果更新了过时产品名单:2018款Retina MacBook Air、2018款13英寸MacBook Pro(四雷雳3口)、2017 ...
Meet the most serious PCs on the planet: desktop workstations, certified to crunch through the most demanding design and rendering jobs and process the most intimidating datasets. Here's what you need ...
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