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Blog series spotlight
Innovating out loud
To thrive in business, employees must work together and find a way to do new things or do existing things better and then make that process a part of the company culture.
Innovating out loud
To thrive in business, employees must work together and find a way to do new things or do existing things better and then make that process a part of the company culture.
数据中心的未来始于大学实验室
想想工程师们是如何设计太空系统的。他们要应对极端高温、辐射和高速环境，而这些条件在地球上是无法完全模拟的。每个部件都必须在发射前准备就绪，因为一旦发射到太空就无法再返回。
迈向代理人工智能之路：开启人工智能驱动创新的下一个时代
人工智能的未来不仅仅是创造，更关乎行动。如今的生成式人工智能 (genAI) 擅长识别和复制数据模式，涵盖语言、图像乃至复杂系统。这种复制智能正在推动各行各业（从金融服务到医疗保健，从政府运营到制造业）实现前所未有的运营效率。
Responsible business
At Vertiv, we strive to advance the principles of environmental stewardship, fostering a safe, inclusive and engaging workplace, and conducting our business responsibly
Responsible business blog series
Safeguarding our environment is a growing priority for many critical facility operators and a goal that can be achieved through collective innovation and incremental changes in how the industry operates.
Sustainability day 2025: How Vertiv supports a responsible digital future
As Sustainability Day 2025 approaches, it’s worth looking at how digital growth and resource stewardship can move together. Oxigen’s story shows this in practice. As their digital footprint expanded, they had to scale power and cooling for artificial intelligence (AI) workloads without losing sight of their environmental commitments.
2024年负责任商业报告：推动负责任的商业实践和增长
在维谛技术 (Vertiv)，我们迈向更负责任的未来，其驱动力在于创新与责任的结合。我们致力于创造和部署创新解决方案，同时最大限度地减少对环境的影响，并倡导替代能源解决方案。
Technology blog
Discover Vertiv ideas, innovations, and what is shaping the future of digital infrastructure: from power and cooling to design, operations, and emerging technologies
数据中心的未来始于大学实验室
想想工程师们是如何设计太空系统的。他们要应对极端高温、辐射和高速环境，而这些条件在地球上是无法完全模拟的。每个部件都必须在发射前准备就绪，因为一旦发射到太空就无法再返回。
迈向代理人工智能之路：开启人工智能驱动创新的下一个时代
人工智能的未来不仅仅是创造，更关乎行动。如今的生成式人工智能 (genAI) 擅长识别和复制数据模式，涵盖语言、图像乃至复杂系统。这种复制智能正在推动各行各业（从金融服务到医疗保健，从政府运营到制造业）实现前所未有的运营效率。
Vertiv 技术博览会：通过合作激发人工智能创新
人工智能工作负载突破每机架 100 千瓦 (kW)，迫使数据中心重新思考配电、热管理和能源效率。