With PolarDB for AI, you can perform the following tasks:
Use the Qwen LLM for data inference and interaction You can use the built-in Tongyi Qianwen model for data inference and interaction with PolarDB data. Choose the appropriate model based on the scenarios. Sentiment analysis model: analyzes the sentiment of a given sentence.
SELECT * FROM PREDICT (MODEL _polar4ai_tongyi_sa, SELECT content FROM textinfo LIMIT 1) WITH ();
Output: Negative. | Chat model: generates responses based on given text.
SELECT * FROM PREDICT (MODEL _polar4ai_tongyi, SELECT 'Who are you') WITH ();
Output: I am a large language model created by Alibaba Cloud. I am called Qwen. | Summarization model: generates summary of a given article.
SELECT * FROM PREDICT (MODEL _polar4ai_tongyi_summarize, SELECT content FROM textinfo WHERE id = 3) WITH ();
Output: Recently in the Chinese film market, films of the realistic theme have become mainstream. In 2018, "Dying to Survive" won the summer championship with 3.1 billion box office. Many films of this theme such as "The White Storm 2: Drug Lords"... | Translation model: translates Chinese into English.
SELECT * FROM PREDICT (MODEL _polar4ai_tongyi_tran_2_en, SELECT content FROM textinfo ORDER BY id ASC LIMIT 1) WITH ();
Output: This item only looks decent; the actual experience is very poor. I do not recommend purchasing it. |
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Benefits
End-to-end data intelligence service: provides full lifecycle management such as model creation, model evaluation, and model inference. This helps avoid the issues caused by frequent data transmission between different systems in traditional solutions.
Compatibility with MySQL syntax: allows you to execute SQL statements to perform Machine Learning Operations (MLOps) without additional learning.
Various built-in algorithms: provides a set of built-in machine learning and AI algorithms, including classification algorithms, regression algorithms, and clustering algorithms.
Strict data protection: performs all data processing and model operations within the database to ensure the security of the entire process.
Supported versions
Your cluster must meet the following requirements:
When you create the cluster, Database Edition is set to Enterprise Edition and Edition is set to Cluster Edition.
The database engine version of your cluster is MySQL 8.0.1 or later.
PolarProxy is 2.7.5 or later.
For more information about how to view or update the database engine version and PolarProxy, see Minor version update.
Billing rules
To use the PolarDB for AI feature, you must create AI nodes. You are not charged for the feature, but you are charged for the AI nodes. AI nodes are billed as common compute nodes.
In addition to common compute node specifications, AI nodes support two GPU specifications, which are mainly used for AI model creation and inference.
8 cores, 30 GB memory and one GU30 (polar.mysql.g8.2xlarge.gpu)
16 cores, 125 GB memory and one GU100 (polar.mysql.x8.2xlarge.gpu)
For information about the billing rules for compute nodes, see Compute nodes.
Elastic Compute Service (ECS)
Container Compute Service (ACS)
