Edit: Amao
Design: Mu You
"Looking at today's world, in addition to opportunities, what we see afterwards are unprecedented challenges. Facts have proved that only through innovation and focus on innovation can we tap and discover more growth opportunities."
On the second day of the 2023 Amazon Cloud Technology China Summit , Chen Xiaojian, general manager of Amazon Cloud Technology Greater China Product Department, made the above statement. In his view, cloud services have become a key productivity to support innovation.
Facing the new opportunities brought by the current large-scale model, international giants such as Microsoft and Google are rushing to participate in it and practice it. Amazon cloud technology is different. It adopts the method of building the underlying basic platform, so that more people can use machine learning and generative AI well.
There is no doubt that the explosion of AI has directly promoted the increase in demand for computing power resources, and generative AI has added fire to this upsurge.
In this regard, on the one hand, Amazon Cloud Technology provides cost-effective computing power support through a comprehensive computing power platform and self-developed chips; Huge computing power is needed.
The former goes without saying. No matter what products and acceleration customers need from Intel, AMD or Nvidia, they can get a full range of support and services on the cloud of Amazon Cloud Technology, and the self-developed chips that are rising and widely welcomed by customers make Amazon Cloud Technology has an endowment that is different from any other cloud service provider.
The latter is obvious. In response to the rich and differentiated needs of customers in terms of elastic resources, with the help of more than 600 different computing instances provided by Amazon Cloud Technology, customers can easily build rich, flexible and powerful computing instances just like playing with Lego blocks. Meet the professional requirements of different computing power scales.
Not only that, Amazon Cloud Technology has also released many new services based on serverless and other technical concepts, which maximize the elasticity, agility, and pay-as-you-go characteristics of the cloud, which not only effectively reduces the complexity of operation and maintenance, but also greatly simplifies use of computing power.
This time, it was finally no longer in the form of video. Dr. Matt Wood, vice president of global products of Amazon Cloud Technology, appeared in front of us at the Shanghai summit, bringing some of Amazon Cloud Technology's latest thinking and practice on digital technology.
He said that Amazon Cloud Technology has always been committed to Pratt & Whitney those exciting digital technologies with broad prospects, and generative AI is no exception. Amazon Cloud Technology hopes to hand over this technology to every builder and everyone. in the hands of business users.
As one of the earliest employees and now the company's vice president in charge of products, Matt Wood is familiar with Amazon cloud technology's products and services. He is especially good at machine learning and big data.
Matt Wood pointed out that the key to generative AI is that it must be delivered to users at an extremely low cost and with the lowest possible delay. So far, compared with other mainstream manufacturers, Amazon's self-developed chips have shown very obvious advantages in the above two aspects. Amazon Cloud Technology hopes to help more models go out of the laboratory and enter the actual scene of core applications.
In his view, this is also the consistent advantage of Amazon cloud technology, that is, engineers and developers do not need to worry about the underlying infrastructure, they can get a leading modern application architecture without having to start from scratch, let alone reinvent the wheel.
Taking generative AI as an example, it has swept the world in the past half a year or so. Amazon Cloud Technology believes that generative AI will break through the previous boundaries of artificial intelligence in certain fields, enter any scene that people can imagine, and reshape all walks of life.
Currently, Amazon Cloud Technology uses third-party partners such as Anthropic, AI21Labs, and Stability AI to provide large language models and generative AI models.
At the same time, Amazon Cloud Technology has also self-developed the basic model Amazon Titan and the privatized pre-trained model Amazon Bedrock.
For the majority of customers, they can build professional or privatized data models based on the above models according to their needs, so as to realize the application in real production scenarios.
Wang Chengfeng, research director of iResearch, believes that this China Summit demonstrates Amazon Cloud Technology's continuous deepening in the field of cloud and AI. Especially in the field of AIGC, which has been hotly debated recently, Amazon Cloud Technology has put more emphasis on empowering its customers and partners with its technical capabilities and best practices to develop AIGC business. ), accelerate the popularization of AIGC technology and explore value in more industry scenarios, and strive to become the "behind the scenes" and "digital pedestal" in the AIGC world.
In the field of generative AI, innovation has just begun, and the future is especially worth looking forward to. Amazon Cloud Technology is willing to join hands with more institutions, partners and customers to jointly explore the infinite possibilities of generative AI: "Choose a scenario, set off immediately, and build the future."
