Microsoft created the mini Surface dev box that Qualcomm couldn't
The Verge AI2h agoHardwareMicrosoft has revealed the Surface RTX Spark Dev Box, a miniature Surface PC aimed at developers. It uses Nvidia's new Arm-based RTX Spark chips, the same platform found in the recently announced Surface Laptop Ultra. The device is optimized for sustained workloads and local AI tasks, although the provided excerpt does not disclose detailed specifications, pricing, or availability.
Jensen Huang: Vera CPU Is Not Competing in the Same Arena as Intel and AMD
INSIDE 硬塞 AI9h agoHardwareNVIDIA described Vera as the strongest competitor ever to Intel and AMD x86_64 processors in a keynote slide. However, Jensen Huang denied that Vera CPU was intended to take Intel and AMD's market when asked during a global media Q&A. The distinction suggests NVIDIA wants Vera viewed as more than a direct replacement for conventional x86_64 CPUs.
Margins Are Not the Point: Jensen Huang Explains NVIDIA's RTX Spark AI PC Bet
INSIDE 硬塞 AI15h agoHardwareRTX Spark's announcement immediately raised questions about competition with Apple Silicon. The article focuses on Jensen Huang's explanation of NVIDIA's AI PC strategy and the role of margins in that decision. The supplied excerpt is only an introduction, so it does not include Huang's full answer, product specifications, or market plans.
[AINews] NVIDIA Cosmos 3, Nemotron 3 Ultra, and RTX Spark
Latent Space15h agoReleaseLatent Space highlights NVIDIA Cosmos 3, Nemotron 3 Ultra, and RTX Spark as the focus of a major NVIDIA news cycle. The supplied text offers only a brief positive assessment: “Jensen scores a huge win.” It does not provide specifications, benchmarks, pricing, availability, or enough detail to compare the products or assess their practical impact.
Nvidia chases $200B CPU market with AI agent PCs from Microsoft, Dell, and HP
TechCrunch AI21h agoHardwareNvidia is pursuing the $200 billion CPU market through AI agent PCs associated with Microsoft, Dell, and HP. The potential impact depends on whether AI agents can reach mainstream users in a simple, safe, and useful way. The provided excerpt does not specify hardware models, pricing, release dates, or performance details.
This Could Be Windows' M1 Moment, but Expect It to Cost a Ton
The Verge AI22h agoHardwareNvidia is entering the consumer laptop chip market with RTX Spark, potentially giving Windows its own M1 moment. Apple has shown that Arm chips can combine strong performance with long battery life on Macs. Windows laptops using Qualcomm chips have not fully matched that performance, while RTX Spark devices are expected to be expensive.
Jensen Huang: NVIDIA and Microsoft Aim to Turn PCs into AI Agent Hubs
INSIDE 硬塞 AI1d agoHardwareJensen Huang compared the PC's future to the smartphone's evolution: people still call it a phone, although calling is no longer its primary use. He predicts that PCs will look fundamentally different in ten years, moving beyond today's click-and-type interaction model. The original headline frames this vision as an NVIDIA and Microsoft effort to turn PCs into AI agent hubs.
NVIDIA Cosmos 3: An Open Omni-model for Physical AI Reasoning and Action
Hugging Face Blog1d agoReleaseHugging Face Blog announces NVIDIA Cosmos 3, described as the first open omni-model for Physical AI reasoning and action. The title indicates a focus on AI systems that interact with physical-world scenarios rather than only text generation. Because the article body was not provided, its architecture, supported modalities, license, downloadable assets, benchmarks, and deployment requirements cannot be verified from the available material.
NVIDIA, Arm and Microsoft Tease a New Era of PC Ahead of GTC Taipei
INSIDE 硬塞 AI3d agoHardwareNVIDIA, Arm and Microsoft posted coordinated teasers around “A new era of PC,” tied to mysterious coordinates pointing to Taipei. The report frames the move as a pre-COMPUTEX push, with NVIDIA’s rumored N1X Arm chip expected to appear at GTC Taipei. Still, skepticism remains around delays, high pricing, and backlash against overused AI PC messaging.
Jensen Huang Hosts Taiwan Supply Chain Dinner, Says TSMC Leads Huawei by 10 Years
INSIDE 硬塞 AI4d agoBusinessNVIDIA CEO Jensen Huang hosted key Taiwanese supply chain partners, with senior leaders from TSMC, Foxconn, and Quanta attending the high-profile dinner. The report frames the event as a signal of Taiwan’s central role in AI hardware, from advanced chips to manufacturing and servers. Huang also said TSMC leads Huawei by 10 years, underscoring the strategic weight of semiconductor capability.
NVIDIA Space Computing Gets First Hardware Case as Aitech Integrates IGX Thor
INSIDE 硬塞 AI5d agoHardwareAitech announced it will integrate NVIDIA IGX Thor into its space supercomputer for low Earth orbit missions. The goal is to provide onboard AI edge computing and enable real-time inference directly in orbit. By processing more data in space, the system aims to reduce dependence on ground communications and extend AI compute beyond Earth-based infrastructure.
Snowflake signs $6B AWS deal for AI CPU chips
TechCrunch AI5d agoHardwareSnowflake has signed a massive five-year agreement with Amazon worth $6 billion to secure chips for AI usage. The deal is framed as another win for AWS as major data and cloud platforms lock in long-term compute capacity. TechCrunch also notes that Nvidia is being put on notice as alternative AI chip supply paths gain attention.
Nvidia bets $150B on Taiwan as US AI hub plan backfires★ 72
Ars Technica AI5d agoBusinessArs Technica reports that Nvidia will invest $150 billion annually to make Taiwan an AI “epicenter.” The headline frames the move against Trump’s effort to make the US an AI hub, suggesting the policy push may be backfiring. The provided source text does not specify investment targets, timeline, partners, or operational details, so the takeaway should remain focused on Nvidia’s strategic emphasis on Taiwan.
Jensen Huang Attends Groundbreaking for NVIDIA’s New Taiwan HQ in Beitou-Shilin
INSIDE 硬塞 AI6d agoBusinessNVIDIA CEO Jensen Huang appeared at the site of the company’s planned new Taiwan headquarters in Beitou-Shilin. The building centers on a “transparent” design concept, using an all-glass curtain wall to symbolize trustworthiness. According to the report, construction is planned to begin by the end of 2026, with completion and opening expected in 2030.
蘇姿丰行程甫告一段落，黃仁勳今再訪台、直奔南港開講★ 70
INSIDE 硬塞 AI10d agoBusiness繼 AMD 董事長暨執行長蘇姿丰的台灣行程告一段落後，NVIDIA 執行長黃仁勳於今日再度抵達台灣。他下飛機後首站便直奔南港，參與 Meet-a-Claw 開發者大會並發表專題演講，再度引發台灣科技界與開發者社群的高度關注。
Towards Speed-of-Light Text Generation with Nemotron-Labs Diffusion Language Models★ 75
Hugging Face Blog10d agoReleaseNVIDIA Nemotron-Labs 發表全新擴散語言模型（Diffusion Language Models），旨在解決傳統自迴歸模型逐字生成的效能瓶頸。 該技術利用類似影像生成的擴散機制，在文本生成中實現高度並行化，大幅提升推論速度。 此研究展示了非自迴歸模型在維持文本品質的同時，實現「光速般」超高吞吐量生成的新路徑。
Jensen Huang says he’s found a ‘brand new’ $200B market for Nvidia★ 85
TechCrunch AI12d agoBusinessNvidia 執行長黃仁勳指出，公司的下一個重大成長動能將是專為 AI Agent（人工智慧代理）設計的 CPU 市場，估值高達 2000 億美元。隨著 AI 技術從單純的對話生成轉向能自主執行任務的 Agent，底層運算架構的需求也正在發生轉變。這項預測顯示出 Nvidia 除了在 GPU 領域稱霸外，也正積極佈局 CPU 與整體系統級的 AI 生態系。
Nemotron-Personas-Japan: ソブリン AI のための合成データセット★ 75
Hugging Face Blog249d agoReleaseNVIDIA 推出「Nemotron-Personas-Japan」合成數據集，旨在推動日本「主權 AI」的發展。該數據集透過模擬多樣化的日本社會角色（Personas），生成符合日本文化、語言習慣與社會規範的高質量訓練數據。這將有助於開發者與研究人員訓練出更理解日本在地脈絡的本土 AI 模型。
Mastering Long Contexts in LLMs with KVPress★ 75
Hugging Face Blog495d agoNew Tool隨著大語言模型（LLM）處理的上下文長度不斷增加，KV Cache（鍵值快取）已成為記憶體與推理速度的主要瓶頸。NVIDIA 與 Hugging Face 合作推出了開源庫 KVPress，旨在簡化各種 KV Cache 壓縮技術的實現與評估。KVPress 提供統一的 API，支援多種剪枝與壓縮策略，能有效降低長文本推理時的硬體門檻，並與 Hugging Face transformers 生態系無縫整合。
Controlling Language Model Generation with NVIDIA's LogitsProcessorZoo★ 75
Hugging Face Blog526d agoNew ToolNVIDIA 與 Hugging Face 合作介紹 LogitsProcessorZoo，這是一個專為控制大語言模型（LLM）生成行為而設計的工具庫。透過在 Token 生成階段直接干預 Logits（未歸一化的機率值），開發者能輕鬆實現 JSON 結構化輸出、正則表達式約束及自定義解碼策略。該工具與 Hugging Face Transformers 深度整合，大幅提升了生成內容的可靠性與安全性。
NVIDIA L40S GPUs are here
Replicate Blog564d agoNew ToolAI 部署平台 Replicate 正式推出 NVIDIA L40S GPU 算力選項。與傳統的 A100 或 A10G 相比，L40S 在圖像生成（如 Stable Diffusion）和中小型語言模型推理上，提供了更優異的性能與更低的運算成本，是開發者優化 AI 部署成本的新選擇。
Easily Train Models with H100 GPUs on NVIDIA DGX Cloud★ 75
Hugging Face Blog806d agoReleaseHugging Face 宣布與 NVIDIA 深度整合，將 DGX Cloud 的強大算力直接引入平台。開發者現在可以輕鬆調用 NVIDIA H100 GPU 來訓練與微調大型語言模型，無需自行管理複雜的底層基礎設施。這項合作大幅降低了獲取頂級 AI 算力的門檻，加速了企業與研究人員的模型開發流程。