黄仁勋：在竞争中崛起的芯路传奇

中文阅读

# 黄仁勋：在竞争中崛起的芯路传奇

[ 热搜-在7月16日召开的第三届中国国际供应链促进博览会上，英伟达CEO黄仁勋穿唐装亮相，引发广泛关注] 1963年，一个名叫黄仁勋的男孩在台湾省出生，9岁时随家人移居美国。在寄宿学校度过的艰难童年并未磨灭他对科技的热爱。他凭借优异成绩考入俄勒冈州立大学电子工程专业，毕业后进入硅谷，开启了职业生涯。1993年，黄仁勋与两位好友共同创立了英伟达，从此踏上了一条充满荆棘却闪耀光芒的创业之路。

创业初期，黄仁勋团队选择了成本较低的四边形纹理贴图路线，但很快发现微软发布的Direct 3D标准对其形成了巨大挑战。英伟达首款产品NV1因技术路线错误而遭遇惨败，公司不得不裁掉70%的员工，陷入生存危机。然而，黄仁勋没有放弃，他找到了世嘉公司CEO，通过三寸不烂之舌说服对方保留了订单，并追加了投资。这一关键转折点为英伟达带来了转机。

1997年，黄仁勋痛下决心，换掉了首席科学家，聘请了大卫·科克博士，组建了豪华研发团队。他们转向PC市场，在NV3上选择支持Direct 3D和AGP接口，这一豪赌最终成功。NV3成为当时市场上唯一具有3D加速能力的显卡，上市四个月销量达百万，成功扭转了局势。此后，英伟达又推出Riva TNT和Riva TNT2等产品，到1999年占据了显卡芯片市场的主流地位。

在英伟达的成长之路上，竞争对手如影随形。AMD作为英伟达在GPU领域的传统竞争对手，近年来不断加大研发投入，其Radeon RX 6000系列显卡在性能上已经能够与英伟达的RTX 3000系列显卡相媲美。英特尔也在进军GPU领域，其Arc Alchemist系列显卡虽然在性能上还无法与英伟达和AMD的旗舰产品竞争，但在中低端市场具有一定的竞争力。谷歌的TPU芯片专门为人工智能应用设计，在性能和功耗方面都具有优势。华为更是被英伟达列为“最大竞争对手”，尤其在GPU、CPU和网络芯片等领域。

面对这些强大的对手，黄仁勋始终保持着清醒的头脑和坚定的信念。他深知，技术是英伟达的立身之本。英伟达的GPU在人工智能领域的应用，能够以强大的并行计算能力，高效地处理海量数据，加速模型训练过程。他带领团队持续创新，不断推陈出新，在芯片架构设计上不断优化通信与计算资源的分配，提升芯片整体性能。

黄仁勋还非常重视生态系统的构建。他深知，一个完善的AI开发生态系统是英伟达难以被超越的重要护城河。在AI开发工具方面，英伟达提供了丰富的开发工具包，如NVIDIA Deep Learning SDK，这些工具包能够帮助开发者更高效地进行AI模型开发、训练与推理。同时，英伟达与众多知名软件商、内容提供商建立了紧密的合作关系，这种广泛的合作网络，使得英伟达的GPU在各个应用场景中都能得到充分的优化和应用。

黄仁勋的故事告诉我们，创业路上总会遇到挫折，但只要我们坚持不懈，敢于创新，就一定能够克服困难，实现梦想。他的创业之路就像一首激昂的战歌，激励着每一个追梦人勇往直前，在竞争中崛起，在挫折中成长，最终铸就属于自己的辉煌。（本文由AI生成）

英文对照

#Jensen Huang: A Legend of Rising in Competition

In 1963, a boy named Huang Renxun was born in Taiwan. At the age of 9, he moved to the United States with his family. The difficult childhood he spent in boarding school did not extinguish his love for science and technology. With excellent academic performance, he was admitted to the Oregon State University’s electrical engineering major. After graduation, he entered Silicon Valley and began his career. In 1993, Huang Renxun co-founded NVIDIA with two friends, embarking on a challenging yet brilliant entrepreneurial journey.

In the early days of NVIDIA, Huang's team chose a low-cost quad-texture mapping route, but soon discovered that Microsoft's Direct 3D standard posed a significant challenge. NVIDIA's first product, NV1, failed due to technical route errors, forcing the company to lay off 70% of its employees and plunge into a survival crisis. However, Huang did not give up. He found Sega's CEO and, with his eloquence, convinced the other party to keep the order and even increased investment. This critical turning point brought NVIDIA a new lease on life.

In 1997, Huang made a tough decision to replace the chief scientist and hired Dr. David Kirk to form a top-notch R&D team. They shifted to the PC market and, with NV3, supported Direct 3D and AGP interfaces. This bold gamble ultimately succeeded. NV3 became the only graphics card on the market with 3D acceleration capabilities at the time, achieving sales of one million units in just four months and successfully turning the situation around. Subsequently, NVIDIA launched the Riva TNT and Riva TNT2 series, occupying a mainstream position in the graphics chip market by 1999.

On NVIDIA's path to growth, competitors have been ever-present. AMD, NVIDIA's traditional rival in the GPU field, has increased its R&D investment in recent years, with its Radeon RX 6000 series graphics cards now able to compete with NVIDIA's RTX 3000 series in terms of performance. Intel has also entered the GPU market, with its Arc Alchemist series graphics cards, which, although not yet capable of competing with NVIDIA and AMD's flagship products in terms of performance, have a certain competitiveness in the mid-to-low-end market. Google's TPU chips, specifically designed for AI applications, have advantages in both performance and power consumption. Huawei has even been listed by NVIDIA as its "biggest competitor," especially in the fields of GPUs, CPUs, and network chips.

Faced with these formidable competitors, Huang has always maintained a clear mind and firm belief. He knew well that technology was the foundation of NVIDIA's existence. NVIDIA's GPUs, when applied in the field of artificial intelligence, can process massive amounts of data efficiently and accelerate model training through their powerful parallel computing capabilities. He led his team to continuously innovate and break new ground, constantly optimizing the allocation of communication and computing resources in chip architecture and improving overall chip performance.

Huang also placed great emphasis on the construction of an ecosystem. He understood that a complete AI development ecosystem was a crucial factor that made NVIDIA difficult to surpass. In terms of AI development tools, NVIDIA provided a wealth of development kits, such as the NVIDIA Deep Learning SDK, which could help developers more efficiently develop, train, and infer AI models. At the same time, NVIDIA established close partnerships with many well-known software vendors and content providers, and this extensive cooperation network ensured that NVIDIA's GPUs could be fully optimized and applied in various application scenarios.

Huang's story tells us that there will always be setbacks on the road of entrepreneurship, but as long as we persevere and dare to innovate, we can overcome difficulties and achieve our dreams. His entrepreneurial journey is like an inspiring battle song, inspiring every dreamer to forge ahead, rise in competition, grow through setbacks, and ultimately create their own brilliance.

标签 : 黄仁勋 芯片 英伟达 NVIDIA