Por que o Armazenamento Tradicional Não Consegue Acompanhar a IA: O Caso do Armazenamento de Dados Mecânico

Today’s advanced computing and AI systems require more storage than ever. As such, there have been many strides in the data storage sector over the last few years. These advancements include utilizing groundbreaking materials and new methods. Here’s a look at some of the latest data storage methods with the potential to upend the market.

Demanda por Armazenamento de Dados em Ascensão.

Demand for data storage solutions continues to expand across the industry, with more than 9,000 data centers worldwide. Notably, the US leads the pack in terms of data centers, with over 5,000 in operation currently. These facilities serve a vital role in enabling businesses, users, and governments to keep track of crucial information.

Armazenamento em Nuvem Lidera o Mercado

Analysts predict the cloud storage market will go from $61B in 2020 to $390B by 2028. This growth can be attributed to many factors. However, the increased usage of high-performance AI algorithms is one of the primary reasons why cloud computing services are in such demand. These services require large data models to be saved and accessed during operation. Notably, AI systems require larger models to provide more services. As such, data storage needs are predicted to continue.

Problemas com os Métodos de Armazenamento de Dados Atuais

Today’s storage devices work well for non-AI systems, but they can’t provide the scalability needed to house and operate the most effective algorithms.  Solid-state drives are limited by their magnetic grain, whereas flash drives have hit their physical scaling limits. Even digital storage methods like CDs suffer from physical limitations in terms of data storage space.

Armazenamento Mecânico

One form of storage that has seen considerable interest recently is mechanical storage methods. This method utilizes small indents that represent data. This method of storage has been explored by IBM and Intel (INTC ) in the past due to its interesting characteristics and dense storage capabilities.

Problemas com os Métodos de Armazenamento Mecânico Utilizados Hoje

A lot of research was put into developing and testing mechanical storage devices in the past. The devices operated well and provided more density. However, they had many drawbacks, including challenges with synthesis, low erasing temperatures, and a lack of stability. The use of a heated probe further complicated the procedure as the probe required increased energy and reduced safety.

Estudo de Armazenamento de Dados em Polímero de Alta Densidade

Um estudo¹ recente publicado na revista Advanced Science apresenta um método inovador para criar e usar polímero de alta densidade como meio de armazenamento. O polímero é ideal para a tarefa por várias razões. Em primeiro lugar, ele fornece a versatilidade física necessária e as características químicas necessárias para concluir o trabalho.

Fonte – Advanced Science