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HCI and Edge Computing – The Next Frontier for AI

HCI and Edge Computing – The Next Frontier for AI

Artificial intelligence (AI) is becoming an everyday piece of technology in modern homes. It is now not uncommon to find smart home devices such as Google Hubs and wearable technology such as Apple Watches in a typical home – each including a smart assistant (i.e. Siri or Alexa) that uses AI. With the introduction of self-driving cars, this type of technology will soon touch almost every aspect of our lives.

Currently, most AI technology relies heavily on the cloud, using a collection of data that is stored there. Unfortunately, this reliance on the cloud can lead to latency issues as the process of data traveling between data centers and the device can be affected by several factors. Today, this problem is merely annoying when it comes to smart home devices and wearable technology, but it could prove to be dangerous when self-driving cars start to become prevalent.

How HCI and Edge Computing is Powering the Future of Artificial Intelligence

To solve this issue, the logical step is for AI to adopt a combination of hyperconverged infrastructure (HCI) , edge computing. HCI allows technology to operate within a smaller hardware design while edge computing is the processing of data outside of the traditional data center, typically on the edge of a network. When combined with HCI and edge computing, AI benefits from drastically reduced latency, as edge computing enables the data to reside on the edge of the device’s network, and allows for new data to be stored, accessed and later uploaded to the cloud. Meanwhile, HCI would allow for all of this to operate in something as small as an Amazon Echo Spot and soon, even a smart watch.

While the cloud has played an important role in making AI a commonly used technology, adopting the combination of HCI and edge computing will give AI the tools needed to grow to the next level, making it faster and smarter without the restrictions of latency.

Scale Computing offers an industry-leading and award winning HCI and edge computing solution. Our HC3 virtualization platform combines servers, storage, and virtualization into a single solution, and we recently launched the HE150 HC3 Edge appliance, which is small enough to be deployed almost anywhere.

Read more about Scale Computing’s HC3 virtualization platform here.

關於 Version 2

Version 2 Digital 是立足亞洲的增值代理商及IT開發者。公司在網絡安全、雲端、數據保護、終端設備、基礎設施、系統監控、存儲、網絡管理、商業生產力和通信產品等各個領域代理發展各種 IT 產品。
透過公司龐大的網絡、通路、銷售點、分銷商及合作夥伴,Version 2 提供廣被市場讚賞的產品及服務。Version 2 的銷售網絡包括台灣、香港、澳門、中國大陸、新加坡、馬來西亞等各亞太地區,客戶來自各行各業,包括全球 1000 大跨國企業、上市公司、公用事業、醫療、金融、教育機構、政府部門、無數成功的中小企及來自亞洲各城市的消費市場客戶。

關於 Scale Computing 

Scale Computing 是邊緣運算、虛擬化及超融合解決方案的領導者。 Scale Computing 的 HC3 軟件整合了傳統的虛擬化軟件、災難復原軟件、伺服器及共享儲存,並將其整合為一個高度可用的應用程式運行系統。 憑藉其專利 HyperCore™ 技術,HC3 自我修復平台能夠實時自動識別、緩解和修復基礎設施問題,讓應用程式實現最長的正常運行時間。若您重視易用性、高可用性及總體擁有成本 (TCO),Scale Computing HC3 將是您理想的基礎設施平台。

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