#NVIDIA

AWS CEO Matt Garman 与 a16z 的 Raghu Raghuram 对谈：全球最大云提供商如何为智能体时代重构： 2026 年 2200 亿美元资本支出，订购 200 万块 NVIDIA GPU，AWS 自研 AI 芯片明年之前售罄，还推出无需信用卡、30 秒即可开通的 AWS 账户，让智能体立即动起来。 0:55 营收 1700 亿美元，增长 37% 2:40 30-40% 的营收最初来自初创公司 4:55 初创公司想要面向智能体的云 9:10 30 秒开通 AWS 账户 12:25 智能体不需要坚不可摧的数据库 16:30 为什么 AWS 不会把所有 GPU 卖给前沿实验室 22:00 为什么 Matt 不担心泡沫 24:45 为什么 AWS 自建电厂 27:45 为下一次供应短缺做规划 30:25 为一个县每位居民节省 5000 美元 33:10 AWS 如何打造自研芯片 40:05 是什么阻碍了企业级智能体 45:35 为什么 Bedrock 从不把你的数据发给模型 49:30 AWS 的新 AI 安全工具 51:50 为什么 AWS 的 10 人团队如今只需 3-4 人 YouTube: https://www.youtube.com/watch?v=rn_afJaPldg @mattsgarman @awscloud @RaghuRaghuram

Someone used Claude Opus 5.5 to make a 3D animation of Nvidia Blackwell GPUs (from server down to an atom). Took 1 hour and full animation “runs from single HTML file, directly in browser. No vid editor. No pre-rendered 3D sequence. Just browser-based experience.” Very cool.

Today, with over 100 industry partners, we introduced the NVIDIA Open Agent Safety Platform, bringing together OpenShell and Sentry. Artificial intelligence is extraordinary technology that will advance discovery, productivity, security, health, and prosperity for generations to come. But its full promise can only be realized when people have confidence that AI is being built to be safe and deployed with wisdom and responsibility. This is bigger than a single product. It's the beginning of an open ecosystem to build the trust layer for safe agent systems. Together, we are building the foundation of the AI economy. Trust and innovation are not in conflict. Safety is how trust is earned. We must build not only the most capable AI, but the most trusted AI, so that this extraordinary technology can realize its enormous promise for the world. https://nvda.ws/4hcoq7m

Fentanyl Grade Compute: Why a GB300 Rack Will Out-Price Blow by Weight in 2030 A GB300 NVL72 weighs roughly 1,580 kg fully populated and recent purchase orders put it at $5M per rack. That is $3,165/kg. Strip out the 1.5 tons of busbar, manifold and coolant and the GPU packages alone are well into gold territory, but we're pricing the rack, because that's what you actually take delivery of. Where that sits on the illicit commodity curve today ($/kg): $2,400 Cannabis flower $3,165 GB300 NVL72 $3,500 Fentanyl $28,000 Cocaine $65,000 Heroin $138,000 Gold So today NVIDIA ships a product that is denser in value than weed, roughly fentanyl-grade, and still an order of magnitude short of cocaine. For now... GB200 NVL72 was $4M, GB300 is ~$5M, and Vera Rubin NVL72 is already quoted at up to $8.8M at essentially the same rack mass. Rack weight is constrained by the datacenter floor loading; rack price is constrained by nothing. That's ~1.75x $/kg per generation with HBM, CoWoS and power all supply-limited through the decade. Cocaine: Colombia's new president has pledged a hard-line security crackdown with $1B in US aid behind it Every prior crackdown has consolidated the industry into fewer, better-capitalized operators with better logistics and higher yields per hectare. Consolidation is deflationary. We model US wholesale drifting from ~$28k/kg toward ~$12k/kg by 2030 as the supply chain professionalizes. **Crossover: 2030.** Our extrapolated NVL72-class rack hits ~$17k/kg while wholesale cocaine falls to ~$12k/kg. At that point the rational cartel pivots to smuggling racks, except a rack has a fixed 500+ kW power draw, a 3,300 lb forklift requirement and an export-control regime that is actually enforced. Cocaine has none of these problems, which is why it will remain the superior product for anyone without a substation. Key risks to the thesis: US retail coke is still ~$60–200/g, i.e. $60k–200k/kg so the crossover only holds at wholesale. Retail compute (H100 hour on a neocloud) is also marked up, so we consider this an apples-to-apples wholesale comparison. Full model available to Coke Research subscribers.

Grok 4.7 is a strong combination of intelligence, speed & low cost

Einride enters a strategic collaboration with @NVIDIADRIVE to accelerate autonomous trucking on highways and suburban roads. Building the next generation of Einride Driver on NVIDIA Hyperion platform, supports capital efficient scale of autonomous capacity across Einride’s freight network. $ENRD