Tencent Cloud's 'AI Super Base' special session will be unveiled at the WOT Conference, and technological innovation will lead a new chapter in AI infrastructure

In the past two years, among the hot technical topics in China, the "Battle of 100 Models" has become famous. Since 2020, China has entered a period of accelerated development of large models. According to a report released by the New Generation Artificial Intelligence Development Research Center of the Ministry of Science and Technology, China has currently released 79 large models with more than 1 billion parameters. Many IT technology manufacturers are devoted to the research and training of large models and apply them to various vertical fields.

With the emergence of large-scale models, the development of AI has entered a new era, which has also changed the development model of AI. However, this also puts forward higher requirements for the infrastructure that supports computing, storage, network, data retrieval and fault-tolerant scheduling:

1. Training large models requires huge computing resources and High-performance computing capabilities require enterprises to invest in large-scale parallel processing computing power clusters. This not only challenges the hardware, but also poses a severe test to the overall architecture design.
2. In order to cope with the massive training sets and data required in the process of training large models, enterprises needLarge and efficient storage device. This is critical to the storage infrastructure, data management and of the enterprise System design are all huge challenges.
3. Since large models need to access huge data sets, enterprises need to ensure that the database Ability to store and retrieve the massive amounts of data required in an efficient manner. Traditional batch processing methods can no longer meet the requirements for instant feedback and dynamic data.

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Only by overcoming these challenges can enterprises achieve their full potential Big data model capabilities, thereby creating more value. However, solving these problems requires investing a lot of resources and strong infrastructure support. This is a difficult task for many enterprises. How can we break through the bottleneck?

The answer will be on 11 on 25, WOT Global Technology Innovation The "AI Super Base" Tencent Cloud Special Session at the Conference 2023 Shenzhen Station was announced!

In this special session, five guests from Tencent Cloud will introduce five aspects: heterogeneous computing, network, cloud native, storage and vector database:

• Tencent Cloud’s practical experience and unique secrets in optimizing large model inference;
• Share Tencent Cloud How to provide highway-level network channels for the training of large AI models;
• Discuss how to use Serverless Solving the pain points of scarcity of GPU computing power and training AI applications;
• 长 TalkAGI Various requirements for storage in scenarios and practical experience in implementation;
• Analysis of the technical architecture and capabilities of Tencent Cloud Vector Database.

Aims to provide enterprises with a way out of the technical base dilemma from multiple angles . There are more exciting contents and technical information waiting for you to come and experience it in person!

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