This podcast dives into the groundbreaking announcements from NVIDIA GTC 2026, marking the official dawn of the agentic and physical AI era. We explore CEO Jensen Huang's vision of transitioning from traditional data centers to "AI factories" that manufacture intelligence, converting power into "tokens" as the new economic unit. Key highlights include the staggering projection of $1 trillion in AI infrastructure demand and the unveiling of the vertically integrated Vera Rubin computing platform.

Furthermore, we discuss the revolutionary OpenClaw, an open-source operating system likened to "Android for agents", and the leap into physical AI with Cosmos for robotics. Tune in to understand how NVIDIA is architecting the foundational infrastructure of the next digital economy.

本集 Podcast 帶您深入了解 2026 年 NVIDIA GTC 大會，見證「代理與實體 AI」時代的正式來臨。我們將解析黃仁勳的最新願景：傳統資料中心正轉型為製造智慧的「AI 工廠」，將電力轉化為「代幣（Tokens）」以作為新型經濟單位。

節目將探討高達一兆美元的 AI 基礎設施需求、全新的 Vera Rubin 運算平台，以及被譽為「代理界 Android」的開源作業系統 OpenClaw。歡迎收聽本集節目，了解 NVIDIA 如何建構未來數位經濟的核心基礎設施。

Welcome to this audio special on Nvidia GTC 2026, the company's most anticipated event of the year. As the tech world gathers in San Jose, we tune in to CEO Jensen Huang’s keynote to hear about the next frontier of AI. This year, the conversation shifts from model training to AI inferencing efficiency. We discuss Nvidia’s strategic integration of Groq’s "Language Processing Unit" (LPU) technology, which claims to run large language models up to 10 times more efficiently than traditional GPUs.

Our episode also explores rumors of a dedicated inference chip and Nvidia’s long-awaited laptop CPU, signaling a bold expansion beyond its GPU roots. With Nvidia’s data center revenue reaching $193.5 billion, we analyze how these new platforms aim to solidify the company's dominance. Listen in as we break down the product launches and dealmaking strategies defining the future of computing.

歡迎收聽 Nvidia GTC 2026 年度盛事特別報導。本集節目將帶您深入瞭解聖荷西現場，解析執行長黃仁勳揭曉的 AI 全新藍圖。隨著產業重心從模型訓練轉向推理應用，我們將探討 Nvidia 如何整合 Groq 的語言處理單元（LPU）技術，追求比傳統 GPU 高出 10 倍的運算效率。

此外，本集將關注備受期待的 Nvidia 筆記型電腦 CPU 以及專用推理晶片的傳聞，這標誌著該公司正積極從 GPU 研發跨足更多元硬體領域。面對資料中心業務高達 1,935 億美元的營收規模，我們將分析 Nvidia 如何透過近期密集的併購策略，持續鞏固其全球運算霸主的地位。請隨我們一同聽取這場定義未來科技走向的關鍵解析。

Dario Amodei, the former head of R&D at OpenAI, left the company in 2021 due to growing concerns over the rapid commercialization and safety of AI technology. Alongside his sister, Daniela Amodei, he co-founded Anthropic, a firm now valued at $183 billion. With the exceptional performance of its Claude models—particularly in coding—Anthropic has emerged as OpenAI's most formidable rival.

Amodei frequently sounds the alarm on the risks of advanced AI, describing powerful models as "a sovereign brain in a data center." He warns that there is a non-negligible risk of catastrophic outcomes and predicts that AI could replace 50% of entry-level white-collar jobs within five years. He also emphasizes that without proper oversight, AI could be weaponized by bad actors to develop biological weapons, posing a severe threat to national security.

This episode focuses on Dario Amodei and the AI ethical frameworks he champions at Anthropic, which enable models to self-supervise based on core principles. Amodei believes humanity is currently in a "technological adolescence" that will determine our survival. He maintains that only through transparent regulatory mechanisms can we ensure AI leads us toward a prosperous future rather than total destruction.

Dario Amodei 曾是 OpenAI 的研發負責人，卻因擔心技術過度商業化與安全性，於 2021 年離開並與妹妹 Daniela Amodei 創立了 Anthropic。這間公司如今估值已高達 1,830 億美元，並因其研發的 Claude 模型在程式開發上的優異表現，成為 OpenAI 最強大的對手。

Dario Amodei 頻繁對外發出警示，將強大的 AI 比喻為「資料中心裡的智囊國」，並警告 AI 最高有 ，且可能在 5 年內取代 50% 的初階白領工作。他強調，若缺乏適當監管，AI 甚至可能協助惡意份子製造生物武器，成為嚴重的國安威脅。

本集將專注介紹Dario Amodei 以及他在 Anthropic 推動的AI倫理規範，讓模型能基於倫理原則進行自我監督,。他認為人類正處於決定存亡的「技術青春期」，唯有建立透明的監管機制，才能確保 AI 最終能引領人類邁向繁榮而非走向毀滅。