Razer從AMD，RTX 4060或RTX 4070、32GB RAM和14英寸QHD + 240Hz的Ryzen 9 7940h更新了他的鏟子14筆記本電腦，價格為2,400美元。

Razer updates its Blade 14 laptop with AMD’s Ryzen 9 7940HS, Nvidia’s RTX 4060 or RTX 4070, up to 32GB of RAM, and a 14″ QHD+ 240Hz display, starting at $2,400

二手筆電收購

二手筆電收購

Head over to our on-demand library to view sessions from VB Transform 2023. Register Here

Lambda, an AI infrastructure company, this week announced it raised $15 million in a venture funding round from 1517, Gradient Ventures, 二手筆電收購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.)

VB Transform 2023 On-Demand

Did you miss a session from VB Transform 2023? Register to access the on-demand library for all of our featured sessions.

 

“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.

Asus Rog Phone 6 Clear Mirror的地圖。隨著時間的流逝，隨著各方的官方和雜物，主要細節是關於。除了中國工業和信息技術辦公室外，外觀還表達了外觀。偉大的上帝歐文·布拉斯（Owen Blas）帶來了更清晰的外觀和周圍的顏色圖。隨著機器線的變化。特定型號的嫌疑人具有第二個屏幕。此外，透鏡模塊空間也增加了。據報導，ROG Phone 6的最多6400萬個主要攝像頭為6400萬像素和Opti Firuvdlast。ROG電話6也不例外。歐文·貝爾斯（Owen Bels）的圖像清晰可見，因為第六代外國粉絲很清楚。與舊一代相比，除了較大數量之外，顏色調整也從黑色和白色的原始調整中發生了變化，並且添加了照明的效果，這是一個更眼睛的概念。IPX4的第一款手機首先是在Twitter上與著名的IPX4播放的。網民談論二手筆電收購razer 2支持IP67的防水性。ZTE的Nubia Red Devils系列也持有IPX5。

華碩ROG Phone 6清晰外觀圖。（圖／91Mobiles）

華碩ROG Phone 6預計7月5日發表，隨著時間逼近，加上官方以及來自各方的劇透，主要規格已經大致明朗，除了先前出現在中國工信部網站讓外型曝光，爆料大神Evan Blass帶來了更清晰的外觀以及周邊彩現圖。

Evan Blass在91Mobiles上公開了多張華碩ROG Phone 6的手機外觀和周邊配件圖。手機設計風格雖維持過去，整體看來更為酷炫，像是機背的線條圖騰變化等，特定機型疑似還有副螢幕。此外，鏡頭模組的面積也更為放大，據悉ROG Phone 6最高搭載6,400萬畫素主相機，以及加入5倍潛望光學變焦。

請繼續往下閱讀…

此外，了解華碩歷代ROG Phone的玩家就知道，周邊配件一向是賣點之一，ROG Phone 6也不例外。從Evan Blass釋出的圖片，明顯看出第6代外掛散熱風扇，比起舊代，除了體積更大之外，配色也從原本的全黑變成黑白配色，並加入燈光效果，顯得更加搶眼。

華碩ROG Phone 6第6代外掛風扇。（圖／91Mobiles）

華碩ROG Phone 6第6代外掛風扇。（圖／91Mobiles）

華碩ROG Phone 6另外主打的特色，還包括高通Snapdragon 8+ Gen 1處理器、6.78吋的165Hz螢幕，以及更強的散熱，液態均溫板加大30%、石墨片加大85% 。不過華碩先前在Twiter打出是全球首款IPX4防潑濺電競手機的稱號，遭網友吐槽二手筆電收購razer Phone 2早就支援IP67防水，中興旗下的Nubia紅魔系列也擁有IPX5。

二手筆電收購 二手筆電收購