Fortune | FORTUNE 08月19日
The symbolic reason why you’ll see triangles stamped all over Nvidia’s $920 million campus
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英伟达位于硅谷的总部,由“Voyager”和“Endeavor”两栋巨型建筑组成,总耗资9.2亿美元,并由一个四英亩的公园连接。与传统建筑不同,英伟达利用其GPU驱动的机器学习工具和定制可视化软件,优化了总部设计的各个方面,包括采光、声学、员工动线及协作空间。公司的首席设计合伙人Gensler表示,这是首次将自身技术应用于实际项目。整个园区的设计充满了标志性的三角形元素,这不仅是对3D图形起源的致敬,也蕴含着公司早期技术发展的重要启示。除了三角形,总部还拥有511个三角形天窗、超过14000株植物,以及鼓励偶遇的室内外路径设计,旨在提升员工体验和协作效率。

💡 **AI驱动的创新建筑设计**:英伟达总部(Voyager和Endeavor)的建设,总耗资9.2亿美元,是利用公司自身GPU驱动的机器学习工具和定制可视化软件进行优化的典范。这种方法覆盖了从日光流动、声学动态到员工动线和协作区域的每一个细节,体现了技术在建筑设计领域的深度融合与创新应用。

🔺 **三角元素的象征意义**:贯穿整个英伟达总部设计的三角形是一个重要的视觉主题,从建筑结构到步道和窗户无处不在。这不仅是对3D图形技术基础(所有复杂3D形状皆由三角形构成)的致敬,更深层地象征着公司早期发展历程中的关键转折点。早期尝试基于二次曲面渲染的NV1芯片失败后,英伟达回归并依赖基于三角形的图形处理技术,最终走向成功。

🌱 **环保与人性化的空间布局**:英伟达总部不仅在技术上领先,在环境和人性化设计上也别具匠心。园区内种植了超过14000株植物,包括一面高达80英尺的“生命之墙”,为员工创造了绿意盎然的工作环境。此外,室内外交错的路径和快捷通道设计,旨在缩短员工通勤时间,同时鼓励自发的交流与碰撞,借鉴了苹果园区的理念,以促进创新和团队协作。

🚀 **未来发展的AI应用展望**:英伟达项目和设计经理Jack Dahlgren透露,如果公司未来计划建造第三栋建筑,将“毫无疑问”继续运用人工智能技术进行辅助设计。这表明英伟达将AI视为其未来基础设施建设的核心驱动力,并预示着AI在优化设计、提升效率和创新空间形态方面将扮演更重要的角色。

Nvidia’s headquarters are highlighted by two massive buildings, named after Star Trek ships: the 750,000 square-foot Voyager, and the 500,000 square-foot Endeavor. A four-acre park connects the two buildings. Building on Endeavor finished in 2017, and construction on Voyager wrapped up five years later in 2022. According to Venturebeat, both buildings cost $920 million to realize.

Unlike traditional architectural projects, Nvidia and its lead design partner, global firm Gensler, used machine-learning tools and custom visualization software powered by Nvidia GPUs to optimize everything from daylight flow and acoustic dynamics to employee movement and collaboration zones.

“We got to test out our technology on our own project,” Jack Dahlgren, project and design manager at Nvidia, told The Wall Street Journal.

The triangle motif: A nod to 3D graphics, and a lesson learned

But a key part of the campus design, which you’ll see literally everywhere, from structures to walkways to windows, is triangles. You can’t throw a rock in Nvidia HQ without hitting a triangle.

“Our triangle motif here is really a reflection of the origins of the company,” Dahlgren said. “3D graphics were originally based on drawing triangles.”

The two signature buildings of Nvidia HQ: Endeavor, left, and Voyager.

Nvidia

Indeed, triangles are the most basic polygon; any complex 3D shape can be broken down into a mesh of interconnected triangles. But there’s a deeper meaning to why Nvidia has triangles all over its campus.

Back in 1995, Nvidia debuted its first chip, the NV1, which could render quadratic surfaces; it was a pretty big risk, and a radical departure from, the industry-standard triangle-based graphics. It was intended to be a disruptive innovation, but the complexity of NV1, and its lack of developer support, ultimately proved to be its undoing. The company’s similarly ambitious and subsequently canceled NV2 chip almost derailed the startup entirely.

But Nvidia pivoted. With NV3, Nvidia went back to triangles, the foundation for modern-graphics processing, and the move paid off: Nvidia was able to generate much-needed revenue, which kept the company afloat so it could later reinvest in R&D and pursue future innovations, setting the stage for its rise in the graphics industry.

Of course, there’s much more to Nvidia’s headquarters than just triangles. The entire campus features 511 triangular skylights, more than 14,000 plants (including a massive 80-foot living wall), and crisscrossing paths and shortcuts both indoors and outdoors to minimize travel times but still encourage spontaneous encounters, in the same way Apple’s “spaceship” campus, Apple Park, achieves the same goal with its circular walkways. Nvidia’s Dahlgren said should the company build a third building, it would “undoubtedly” use AI to help design the facility.

You can learn more about Nvidia’s headquarters from this fascinating video shot by The Wall Street Journal:

For this story, Fortune used generative AI to help with an initial draft. An editor verified the accuracy of the information before publishing.

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