Coming to the 2023 Amazon Cloud Technology China Summit on the second day, there are still many surprises. The activities and theme discussions on this day cannot escape one theme: AI. In order to seize the opportunities that continue to be popular in the AI field, Amazon Cloud Technology has invested heavily and plans to launch more products and technologies.
Among them, Chen Xiaojian, general manager of Amazon Cloud Technology Greater China, mentioned that Amazon Cloud Technology focuses on helping customers get rid of the constraints of infrastructure and focus on technological innovation. In order to cope with the high computing power requirements in the AI era, Amazon Cloud Technology will develop products and technologies such as self-developed chips, elastic computing storage combinations, and Serverless architecture to provide more cost-effective services.
Chen Xiaojian said that Amazon Cloud Technology has comprehensive and in-depth infrastructure construction capabilities, and has accumulated rich experience in cooperation with semiconductor giants such as Intel, AMD, and NVIDIA. As the first chip self-developed by Amazon Cloud Technology, Nitro, which was updated to the fifth generation last year, has improved performance per watt by a full 40%, with performance loss less than 1%. Inferentia 2, a machine learning inference chip, supports the training and deployment of complex models at a large scale with advantages like low cost and minimal latency.
On the other hand, Matt Wood, Vice President of Global Products at Amazon Cloud Technology, highlighted the value of generative AI technology and Amazon Cloud Technology’s efforts to promote the widespread application of generative AI.
According to Matt Wood, generative artificial intelligence is changing all walks of life and has been widely used in writing, design, programming and modeling. However, he also believes that generative AI has not been fully popularized. Amazon Cloud Technology aims to contribute to the promotion of generative AI by providing API interfaces to enable enterprises to quickly migrate to the cloud, and provides customized chips and a secure R&D environment to corporate customers. .
The widespread application of data is crucial to the popularization of generative artificial intelligence technology, and Matt Wood believes that this is not limited to infrastructure. Amazon Cloud Technology has launched as many as 15 cloud-hosted database services, as well as interactive query, big data processing, real-time analysis, data integration and other related services to create a high-quality R&D environment for customers.
As generative AI has continued to gain popularity in the past six months, its popularity has not diminished. Instead, it has continued to strengthen over time, and has been widely used in more industries and scenarios, creating greater influence.
As Chen Xiaojian said, everyone is aware that generative AI technology has huge potential, but the technical threshold is very high, and most companies do not know how to seize this opportunity. Amazon Cloud Technology has noticed the problem very early and is committed to lowering the threshold for using cloud services and generative AI technology, hoping to use technology to benefit more industries and enterprises.
The Serverless mentioned above is also one of Amazon Cloud Technology’s efforts to lower the threshold of use.
Fully managed Serverless allows developers to focus on business development rather than infrastructure operation and maintenance, and also allows the system to easily scale quickly. Since the release of Lambda in 2014, Amazon Cloud Technology has successively released many new Serverless technologies, including: Amazon Lambda SnapStart, which solves the problem of cold start of Java applications, and the visual editor Amazon Application Composer, etc.
In short, the AI era has arrived, and opportunities are open to everyone. As the top giant in the industry, Amazon Cloud Technology will further help the popularization of AI technology and the upgrading of traditional industries.
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