Today, generative AI has been used in the four fields of creative output (such as writing, programming, design), functional enhancement (such as writing summary, search), interactive experience (Q&A, chat) and decision support (all kinds of assistants). Shows amazing potential.
At the Amazon Cloud Technology China Summit 2023, Chen Xiaojian, general manager of the product department of Amazon Cloud Technology Greater China, also brought two types of practical cases, showing us how it can help companies solve problems when innovating in the context of today's generative AI. , Computing resources and globalization problems encountered.
Due to the explosion of generative AI technology, the overall demand for computing power in the industry has blown out, which has brought about three major challenges: the shortage of computing power resources themselves, the confusion of flexible supply of computing resources, and the threshold and complexity of cloud operation and maintenance are not enough Low.
First of all, Amazon Cloud Technology has launched various self-developed chips, such as Amazon Nitro, a cloud computing-specific chip that can reduce the burden on the CPU, Amazon Graviton, a general-purpose processor chip based on the ARM architecture, and Amazon Inferentia and Amazon Traininum, which are specially developed for machine learning training and reasoning. A series of chips to help enterprises achieve ultra-high computing power performance-to-price ratio.
Taking the F1 racing car as an example, the organizers used the Amazon Graviton 3E chip of Amazon cloud technology for aerodynamic simulation, and were able to develop a new generation of racing cars at a speed 70% faster than before, and reduced the pressure loss of the racing cars from 50% to 15%. This means that car owners can more easily overtake while driving, bringing more exciting arena fights to car fans.
Secondly, Amazon Cloud Technology uses a variety of rich computing network storage (can be selected on demand or directly help you grade intelligently) and product portfolio (over 600 different computing instances) to help users cope with sudden computing power demands and achieve high flexibility provision of computing resources.
Take Weta Digital Cloud Studio as an example. It has won 6 Oscars for Best Special Effects, and its works include "Avatar", "Lord of the Rings" and "Rise of the Planet of the Apes". Thanks to a series of services such as infrastructure computing resources, cloud production stack, and machine learning stack provided by Amazon Cloud Technology, the studio completed the "Avatar 2" on the cloud with 3.3 billion rendering thread hours in only 8 months. Special effects production; in contrast to "Avatar 1", "It took a full 14 months to see the first frame."
Finally, Amazon Cloud Technology also uses Serverless technology to simplify cloud operation and maintenance management, helping game companies to focus on the development of the game "Marvel Snap" itself without worrying about system upgrades and expansion when the number of visits increases dramatically. Chen Xiaojian introduced that after the game was finally launched, there was no back-end error event, which is unheard of in the game industry.
In addition to computing power resources, many enterprises also have three major demands under today's general trend of globalization: realize unified management of all businesses on the cloud and ensure high reliability and low latency; the process of building a network must be fast and efficient; The local laws and regulations require that the business go overseas smoothly.
Taking OPPO as an example, their mobile phone business is spread all over the world, and there are hundreds of VPCs on the cloud and local resources that need to be connected, which is a test of the difficulty of global networking. Relying on the Amazon Cloud WAN service of Amazon Cloud Technology, a global network can be quickly built in minutes. It can not only maintain the independent operation of OPPO's global business, regional compliance and autonomy, but also perform unified management.
Secondly, for Nasdaq, a capital trading market with very high network reliability and latency requirements, Amazon Cloud Technology helped it build the first private local area in the history of the capital market industry with the Amazon Outposts service, and achieved ultra-low Delayed edge computing capabilities.
Finally, Pax, a global supplier of electronic payment terminals, also relies on a series of services such as Amazon CloudHSM and Amazon Security Hub of Amazon Cloud Technology to meet the security service standards provided by multiple suppliers, ensure user payment security, and shorten the delivery cycle. 40%, and the cost is reduced by 20%, realizing the smooth expansion of international business.
The above successful cooperation cases are a good illustration of the effectiveness of Amazon cloud technology in helping enterprises get rid of infrastructure constraints and focus on innovation.
Adhere to "build a base for the base"
In fact, for this wave of generative AI, as early as April, Amazon Cloud Technology showed its position to the public: everyone will roll the large model itself, and we will build the base for the base.
Today, the speeches of the two executives at the Amazon Cloud Technology China Summit once again released the same message: to provide basic support and base support for the development of generative AI applications for the public.
How to understand the concept of "base"?
Amazon Bedrock, a fully managed platform that can quickly obtain the world's most advanced basic model capabilities, is the base; high-performance infrastructure for training and running your own models, such as Amazon EC2 Inf1 instances supported by Amazon Inferentia chips, and Amazon EC2 Trn1 supported by Amazon Trainium Instances and Amazon EC2 P5 instances supported by Nvidia H100 Tensor Core GPU are the base; Amazon SageMaker, which builds, trains, and deploys your own models from scratch, is the base; Amazon SageMaker Jumpstart supports one-click deployment and fine-tuning of more than 150 popular open source models , but also the base; they are all basic tools that serve our large models and generative AI application development. The resources used by more enterprises, organizations and individuals can be reached.
Amazon Cloud Technology has more than 25 years of AI experience, and more than 100,000 customers use Amazon Cloud Technology's AI and machine learning services to help their businesses.
In this torrent, thanks to the existence of base services such as Amazon Cloud Technology, every enterprise and everyone has the opportunity to obtain, utilize and enjoy the benefits brought by new technologies. No one will be actively left behind in this transformation, the uneven distribution will eventually improve, and the looming future will become extremely clear.