On-Premises Deployment
A deployment approach in which an AI application or its dependent services are deployed on self-owned devices or private servers rather than on a public cloud, in order to keep data within the internal network, integrate with existing enterprise systems and customize permissions as needed.
Timeline (last 90 days)
Localized RAG deployment (documents do not leave the local environment, models run locally) can keep privacy-sensitive internal materials from having to be uploaded to third parties.
The cost of localized deployment depends on model scale and business scenario; hardware purchase orders in industries such as finance and healthcare may reach the 2 million level, while traditional companies may only be willing to pay 20,000 yuan.
The two aspects of significance of local deployment are data security and flexibility, where flexibility is reflected in the ability to conveniently fine-tune models to fit business scenarios.
For chat data containing other people's private information, local deployment is almost the only responsible choice.
Locally deployed models have weaker capabilities than top-tier cloud models.
All Facts (4)
Localized RAG deployment (documents do not leave the local environment, models run locally) can keep privacy-sensitive internal materials from having to be uploaded to third parties.
50%UnverifiedThe two aspects of significance of local deployment are data security and flexibility, where flexibility is reflected in the ability to conveniently fine-tune models to fit business scenarios.
50%UnverifiedFor chat data containing other people's private information, local deployment is almost the only responsible choice.
50%UnverifiedLocally deployed models have weaker capabilities than top-tier cloud models.
50%