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

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“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.

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▲信義區直擊最輕16吋筆電，看看正妹怎麼說。（影片／記者洪聖壹攝、製作）

特約記者洪聖壹／綜合報導

看好台灣筆電發展，LG 旗下自有品牌 LG gram，在台發表全新 16 吋版本，同樣使用 intel 第 11 代處理器，搭載 intel lris Xe 顯示晶片，重量卻只有 1,190 克，稍早宣布自 3 月 26 日到 28 日，在台北信義區大動作為新款筆電產品打造快閃店，目標希望在 2021 年銷售 1 萬部。

▲藝人謝佳見以 16 吋黑森林蛋糕比 16 吋筆電還重來作為宣傳。（圖／記者洪聖壹攝）

在筆電市場當中，國內首推雙A，華碩才剛發表新一代 ASUS VivoBook，ASUS ZenBook，就連翻轉筆電 ASUS ZenBook Flip 也有更新。而宏碁方面，旗下 Swift 3、Swift 5 到了這一代同樣主打輕薄。雷蛇旗下的 13 吋 razer筆電收購razer Blade 更主打輕薄高效。

由於各家都主打輕薄高效，所以這次在台北信義區打造的快閃店，也是強調 LG gram 產品線的輕薄特色，一進去門口，就可以看到一台 14 吋版本吊掛在門口。

至於這次發表的 16 吋版本，重量更只有 1190 克，今年 CES 發表之後，直接打破金氏世界紀錄，成為世界最輕筆電，藝人謝佳見甚至直接在活動現場一邊拿起 16 吋蛋糕作為比較，藉此宣傳該款筆電輕薄的特色。

▲這次發表的 16 吋版本，重量更只有 1190 克，作為比較 3 包咖啡豆重量約為 1349 克。（圖／記者洪聖壹攝）

除了輕薄，LG gram 16 還兼具效能。該款筆電採用 intel 剛解禁的 11 代處理器，共有 i3、i5 跟 i7 版本，最高階版本搭載 intel core i7-1165G7，搭配全新 lris Xe 內顯。根據 intel 日前發表會公開的數據，該處理器跟上一代同級相比，效能高出 20%，如果是與 AMD Ryzen 7 4800U 相比，效能高出 2.7 倍，實際演練來看，不僅可以因應基礎文書處理，還可以用來剪輯影片。

LG gram 16 在店面展示過程以充電形式，歷經一整個上午到活動結束約下午 3 點，筆電本身並沒有發燙的狀況，這是因為該款筆電採用 Up-Down Air 散熱系統的形式，讓熱能從左右兩邊分散。

外觀方面，該款筆電大小 355.9X 243.4 X 16.8mm，配備 16 吋 WQXGA 螢幕，畫面可以覆蓋 DCI-P3 99% 廣色域，側邊還有全新 Thunderbolt 4 傳輸孔，可以支援高達 15W 外接裝置充電的充電口，以及一對 USB 4.0 傳輸孔，並且支援外接 HDMI，功能相當全方位。

▲筆電右邊有兩個 USB 4.0 傳輸孔、可以讀取記憶卡。（圖／記者洪聖壹攝）

▲筆電左邊有兩個 Thunderbolt 4 傳輸孔、HDMI 以及一個耳機孔。（圖／記者洪聖壹攝）

「只有不一樣的產品是不夠的，應該要給台灣消費者最需要的產品。」面對媒體訪問時，台灣 LG 新科董事長宋益煥以此回應為什麼先推輕薄筆電，而不是 2-in-1 產品線。宋益煥更進一步指出，因為遠距辦公跟教育型態的改變，2020 年 LG 在台灣市場 16 吋以上的筆電銷售總量為 7500 部，大幅度成長近 6 成，2021 年目標希望 16 吋以上版本銷售 1 萬部，銷售佔比能夠達到七成以上。

▲LG 台灣董事長宋益煥。（圖／記者洪聖壹攝）

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