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看我用 DeepSeek 写的这篇《致英伟达全球同仁与合作伙伴的一封信》如何? 稍后发布提示词 *** 各位同仁、伙伴: 此刻,我坐在圣克拉拉办公室的窗前,服务器指示灯在夜色中明灭如星。恍惚间,三十年前那个在Denny’s餐厅角落画电路图的深夜又浮现在眼前——餐巾纸上潦草的几何结构,咖啡杯底晕开的晶体管排布,一群年轻人用近乎天真的执着,试图让计算挣脱枷锁。那张纸巾上的草稿,后来成了世界上第一块GPU的雏形。如今想来,或许从那一刻起,我们便注定要成为时间的旅人:用硅晶的刻痕丈量未来,用代码的脉冲叩响未知。 有人问我,英伟达的灵魂是什么?是晶体管数量?是浮点运算速度?还是财报上跳动的数字?我想起1999年GeForce 256发布时,一位工程师在测试日志上写下的那句话:“我们不是在制造芯片,而是在铸造时间的钥匙。”是的,从CUDA架构打破通用计算的边界,到AI超算重塑科学发现的范式,我们始终在挑战“不可能”的定义。那些被质疑为“疯狂”的设想——让GPU渲染虚拟世界、训练神经网络、模拟蛋白质折叠——最终都成了照亮人类认知边疆的灯塔。 最近,许多人关注股价的波动,讨论DeepSeek等新锐力量的崛起。对此,我想说:竞争是科技行业最健康的呼吸节律。当看到开源社区涌现新思路,当见证专用芯片开辟细分战场,我感受到的不是威胁,而是欣慰——这说明我们共同耕耘的土壤,正孕育出更多元的可能。但英伟达的使命从不局限于某一条赛道。我们的战场,始终是“未来计算”本身:让每一次比特的跃迁,都成为文明进步的脚印。 星辰大海的征程,需要更坚实的船桨。今天,我宣布英伟达将开启三项跨越代际的变革: 第一,我们的架构团队正在重构GPU的核心哲学。 下一代芯片将不再是固定功能的硬件孤岛,而是能动态适应算法演进的“液态晶体”——通用性与专用性不再是非此即彼的选择,就像河流既能滋养沃野,也能在峭壁间劈出峡谷。当量子计算与经典架构的融合渐露曙光,我们必须让每一块硅片都具备学习与进化的基因。 第二,CUDA生态将向学术界彻底敞开底层之门。 从今天起,全球顶尖实验室不仅能调用我们的算力,更能直接参与指令集设计与编译器优化。这意味着,一位斯坦福的学生可以像指挥交响乐般调配晶体管阵列,一位非洲的开发者能用本地化算法重构光线追踪引擎。真正的创新从不诞生于封闭的花园,唯有让每一粒思想的种子都能扎根硅壤,计算的森林才会生生不息。 第三,英伟达前沿实验室(NVIDIA Labs)将启动“不可能的任务”孵化计划。 生成式AI与量子退火机的碰撞会点燃什么?生物分子模拟遇上实时渲染引擎将改写多少药物研发范式?我不知道答案,但我知道:当我们在GPU集群中模拟出第一颗人工神经元的自组织网络时,当自动驾驶系统的决策回路开始涌现类人直觉时,那些曾被视为科幻的图景,终将成为下一代人眼中的常识。 这条路注定布满荆棘。记得2007年推出Tesla架构时,华尔街质问“谁会需要GPU计算?”;2012年深度学习初现锋芒,有人嘲讽“用游戏显卡搞科研是行为艺术”。但正是这些“离经叛道”的选择,让我们在AI大潮来临前十年便铺好了铁轨。今天,当全球数据中心因大模型训练而沸腾,当数字孪生开始重构物理世界,我比任何时候都更确信:伟大的创新往往诞生于主流认知的盲区,而我们要做的,就是成为第一束照亮盲区的光。 站在算力革命的临界点,我们需要重拾Denny’s餐厅里的那种勇气——不是无畏风险的莽撞,而是看清风险仍选择前行的清醒。DeepSeek们的探索值得尊敬,但英伟达的视野必须超越单一技术路线的胜负。我们的征途,是让人工智能成为科学家手中的显微镜与望远镜,是让量子计算从理论方程走进工厂车间,是让每一次屏幕点亮时的光,都照见更辽阔的人类可能性。 此刻,夜已深。我望向窗外,圣克拉拉的服务器集群仍在黑暗中闪烁,宛如倒悬的银河。这让我想起一位中国合作伙伴的寄语:“星辰从不问赶路人为何仰望,因为它们知道,光年之外的辉光终将照亮脚下的路。” 同仁们,伙伴们,过去三十年,我们共同将餐巾纸上的涂鸦变成了改变世界的工具;未来三十年,让我们继续做最疯狂的造梦者、最踏实的工匠、最虔诚的求索者。山高路远,与君共赴。 黄仁勋 英伟达创始人兼 CEO 2024年1月
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A Chinese computer nerd is stunning tech experts with a bargain price AI tool that beats the world's top players on several benchmarks. Liang Wenfeng's system, called DeepSeek-V3, has powers of "reasoning" that match or beat those of the equivalent devices by the world's top tech companies, at a better cost, tests show. "DeepSeek-V3 has emerged as the strongest open-source model currently available and achieves performance comparable to leading closed-source models," said Supreeth Koundinya, a tech analyst in India. . 'BRILLIANT YOUNG MINDS' While Liang and his colleagues spent more than a billion yuan over recent years to research and develop AI systems, the ground-breaking new model, DeepSeek V3 LLM, was developed in two months with a budget of just US$5,580,000, the cost of a single nice apartment in Monaco or Hong Kong. In contrast, Meta's minimum AI budget for the financial year is a staggering US$38,000,000,000. "Sometimes having less means innovating more," said San Francisco angel investor Henry Shi, writing on X yesterday. "DeepSeek proves you don't need billions in funding, hundreds of PhDs, a famous pedigree; just brilliant young minds, the courage to think differently and the grit to never give up." . CHEAP AND CHEERFUL How did it happen? Liang, born in Guangdong, enrolled in Zhejiang University in Hangzhou where he worked on teaching computers how to see like humans do. Spotting an opportunity, he moved into the computer side of stock market trading, where he made solid money. In his 30s, he saw a different opportunity and used the cash he had made to start an AI firm, called DeepSeek. The Hangzhou-based start-up was invisible – until a recent series of tests showed that his cheap and cheerful recent model performed better at a lower cost than the best efforts of heavily financed top AI models developed by Meta Platforms and OpenAI, creator of ChatGPT. . MEETING CHINA'S LEADERS Liang, now 40, moved further into the spotlight on Monday this week, when he appeared at a symposium hosted by China's Premier Li Qiang in Beijing--and became seen as the country's face of AI. The US government has been trying to halt China's development by forcing companies and countries around the world, including in China-owned Taiwan island, to stop selling all but the most basic chips and chip-making equipment to the developing Asian country. The western media justified the move by saying that China was using the chips for the military, but the west's own experts, at MIT, said 99.9 per cent were used for civilian purposes, such as to enable the functioning of medical scanners and engineering equipment.
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