公司筆電收購 收購ASUS筆電 收購ROG電競筆電 收購ACER筆電 收購Msi電競筆電 收購微軟SURFAC 看全文
公司筆電收購
Posted on
Razer軟件中的一個錯誤，窗口標記將包括Razer的數量，並將一個發送給Razer Rats
A bug in Razer’s Synapse software, which Windows fetches and installs when a Razer accessory is plugged in, lets anyone with a Razer mouse gain admin privileges
公司筆電收購公司筆電收購
加入舊金山的高級管理人員，從11號到12日。一百萬美元的投資將使公司總額達到2850萬美元，此前400萬美元的種子。2013。2005年，Lambda在舊金山的舊金山推出了舊金山的舊金山，以針對使用Google Glass Apps，Google的強制性應用程序-upse -upsctive Application的開發人員進行了爭議申請。Lambda。Techcrunch首席執行官Lambda首席執行官Stephen Balaban當時說。
Join top executives in San Francisco on July 11-12 and learn how business leaders are getting ahead of the generative AI revolution. Learn More
Lambda, an AI infrastructure company, this week announced it raised $15 million in a venture funding round from 1517, Gradient Ventures, 公司筆電收購razer, Bloomberg Beta, Georges Harik, and others, plus a $9.5 million debt facility. The $24.5 million investment brings the company’s total raised to $28.5 million, following an earlier $4 million seed tranche.
In 2013, San Francisco, California-based Lambda controversially launched a facial recognition API for developers working on apps for Google Glass, Google’s ill-fated heads-up augmented reality display. The API — which soon expanded to other platforms — enabled apps to do things like “remember this face” and “find your friends in a crowd,” Lambda CEO Stephen Balaban told TechCrunch at the time. The API has been used by thousands of developers and was, at least at one point, seeing over 5 million API calls per month.
Since then, however, Lambda has pivoted to selling hardware systems designed for AI, machine learning, and deep learning applications. Among these are the TensorBook, a laptop with a dedicated GPU, and a workstation product with up to four desktop-class GPUs for AI training. Lambda also offers servers, including one designed to be shared between teams and a server cluster, called Echelon, that Balaban describes as “datacenter-scale.”
(Lambda’s Balaban presented at VB Transform this week, as part of the event’s innovation showcase of cool, emerging technologies. See Balaban’s presentation above.)
Transform 2023
Join us in San Francisco on July 11-12, where top executives will share how they have integrated and optimized AI investments for success and avoided common pitfalls.
“We initially created a facial recognition API, a deep learning-powered image editor called Dreamscope, and, because of the experience of running our own GPU infrastructure, decided to offer preconfigured workstations and servers,” Balaban told VentureBeat via email. “We provide the infrastructure — laptops, workstations, and servers — so that our customers can focus on training models and building value for their customers. Most companies get distracted by building huge infrastructure teams when they should be building huge machine learning teams to use infrastructure that’s easier to manage.”
Above: One of Lambda workstations.
A number of startups offer preconfigured hardware for AI development, including Graphcore. But Balaban says Lambda’s major differentiator is its software tools.
Every Lambda machine comes preinstalled with Lambda Stack, a collection of machine learning software development frameworks, including Google’s TensorFlow and Facebook’s PyTorch. Developers can update the frameworks with a single console command, and if they’ve trained the model on a local machine, they can copy it up to a Lambda server running in the cloud.
“Our customers include Apple, Intel, Microsoft, Amazon Research, Tencent, Kaiser Permanente, MIT, Stanford, Harvard, Caltech, and the Department of Defense,” Balaban said. “We have [thousands] of users, [and] most of the Fortune 500 and almost every major research university in the U.S. — as well as [many of] the research labs at the Department of Transportation and Department of Energy — use Lambda hardware and Lambda Stack.”
Balaban also claims that the over-40-employee company, which was founded in 2012, has been GAAP (generally accepted accounting principles) profitable since 2019. It’s on a $60 million revenue run rate for 2021 and plans to have around 60 employees by the end of the year.
VentureBeat’s mission is to be a digital town square for technical decision-makers to gain knowledge about transformative enterprise technology and transact. Discover our Briefings.
▲NVIVIA OLLIKE GEFFORCE RTX 40 -SEEY筆記本電腦構成。.Itemale在2月8日。它影響了新的GeForce RTX 40系列筆記本電腦，這是3歲和第五代3代和第五代Max -Q Technology -Computer.to To To To To To To To To To To to時首次確定的體系結構。 RTX 3- GLE播放器還可以在創建創意應用程序（例如Blender.ada fan -lule粉絲）中，每三名4K專業人士駕駛模擬器等創造性應用程序。原因可以使用NVIDIA OMNIVERSE -Platform Live Lord可以使用AV1用4K 60 trans編碼Discord遊戲。1999年，並於2月8日發行。新的RTX 4070、4060和4050筆記本電腦比上一代的80 80 fps和1440pers的創作過程快於上一代，例如對攪拌機情況的說明，需要兩個半小時過去，僅替換150個從2月22日開始的150次。▲第一波配備了RTX 40 -Sports Bruswork -Products -Products -Products -2月初。由筆記本電腦。如今，儘管出版了GeForce RTX 40系列筆記本電腦，但NVIDIA也推出了第五代Max-Q技術。該技術具有基本效果和快速的升級。NSIA®DLSS3個筆記本電腦非常優化，並內置了Bistand Poushy和Batsery。和噪聲控制，電池維護加倍。有一個GPU放棄GPU，以遠程offwate和較低的效果 – 內存狀態請求。集成的ADA架構內存包含2倍端口控制，並增加了一般端口控制。開發是第一次推出。
▲ NVIDIA 公開 GeForce RTX 40 系列筆電。（圖／翻攝自 NVIDIA）
記者樓菀玲／綜合報導
NVIDIA 在稍早之前舉行的 CES 發表會當中，正式揭露了 GeForce RTX 40 系列筆記型電腦，搭載超高效的 Ada Lovelace GPU 架構，接下來將於 2 月 8 日起陸續開賣。
NVIDIA 宣稱全新 GeForce RTX 40 系列筆記型電腦的電源效率比上一代高出 3 倍，並首次將 Ada 架構、NVIDIA DLSS 3 和第五代 Max-Q 技術導入筆記型電腦。對於遊戲玩家而言，RTX 40 系列筆記型電腦在 AAA 級遊戲，如具備全新 RT Overdrive 模式的全光線追蹤技術遊戲《電馭叛客 2077》中提供高達 4 倍的效能提升；而對於創作者來說，在 Blender 等頂尖創作應用程式中也可提供極快的加速效能。
Ada 架構支援全世界最快最新的狂熱者等級筆記型電腦。遊戲玩家可以在三台 4K 顯示器上以每秒 60 幀的速度暢玩環繞遊戲，足以驅動專業級的駕駛模擬器。創作者可以使用 NVIDIA Omniverse 平台，運用全模擬的物理、光照和材料，在 4K 解析度下構建逼真的 3D 虛擬世界。
▲ Ada Lovelace 架構可在低能耗的情況下達成高效能。（圖／翻攝自 NVIDIA）
實況主可以使用 AV1 編碼以 4K 60 fps 的效能將遊戲直播至 Discord，且Ada 的全新雙編碼器可使匯出影片的時間大幅減少將近一半。RTX 40 系列旗艦筆記型電腦建議售價自 1,999 美元起，將於 2 月 8 日開始發售。
全新的 RTX 4070、4060 和 4050 筆記型電腦比上一代旗艦機型速度更快，但使用的 GPU 功率僅為上一代的三分之一。它們除了可提供 80 fps、1440p 的極致遊戲體驗外，也徹底改變了創作過程；如在 Blender 應用程式中渲染場景，過去需要耗費兩個半小時，如今僅需要 10 分鐘即可完成。RTX 4050 筆記本電腦建議售價自 999 美元起，將於 2 月 22 日開始發售。
▲ 第一波搭載 RTX 40 系列電競筆電產品將在 2 月初上市。（圖／翻攝自 NVIDIA）
隨著 2017 年以來每一代全新 GPU 架構的推出，Max-Q 技術的進步也改進了筆記型電腦的設計。如今，在發表GeForce RTX 40 系列筆記型電腦的同時，NVIDIA 也推出了其第五代 Max-Q 技術，該技術透過以下的升級，從根本上強化功率效益並加速遊戲效能。
NVIDIA® DLSS 3 針對筆記型電腦進行了最佳化，並內建包括 Whisper Mode 與 Battery Boost 等 Max-Q 技術，除改善效能與噪音控制外，亦延長電池續航力達 2 倍之多。有史以來電壓最低的 GDDR6 記憶體，與業界領先的製造商合作發貨。三速記憶體控制讓 GPU 能夠自動且智慧的切換到更新、更低功耗的記憶體狀態。Ada 架構的集成記憶體已針對 Max-Q 進行了最佳化，頻寬加倍，大小增加 16 倍，並改進了時脈閘控以降低整體功耗。
▲ 第 5 代 Max-Q 帶來更多功能進化。（圖／翻攝自 NVIDIA）
GeForce RTX 40 系列筆記型電腦將於 2 月 8 日起，透過全球頂尖製造商開始發售，包括宏碁、Alienware、華碩、戴爾、技嘉、HP、聯想、微星、公司筆電收購razer 和三星，更多產品將於第一季陸續推出。
公司筆電收購 公司筆電收購