A must-have for enterprises! Quickly deploy DeepSeek-R1-0528 super powerful version with zero code~
Zero-code deployment of AI models, a new tool for enterprise digital transformation!
Core content:
1. DeepSeek-R1-0528 new version model performance is greatly improved
2. OpenStation zero-code rapid deployment management platform
3. Model deployment, service distribution and resource management full process support
The new version model of DeepSeek-R1-0528 is now open source.
This version of the model has taken a big step forward in the hardcore areas of mathematical reasoning and code generation, and the hallucination problem has also been greatly improved. The core performance indicators have reached the level of leading closed-source models.
If you want to deploy the DeepSeek model locally, you can replace the original R1 with this 0528 version to take your business capabilities to the next level.
Today I would like to recommend an open source tool to you: OpenStation.
It has been adapted to the new version of the DeepSeek-R1-0528 model, allowing you to quickly deploy the new model in the cluster and distribute services without writing a line of code.
This tool also provides simple and efficient service management and resource management functions, helping enterprise users to safely and conveniently deploy and use the latest DeepSeek-R1-0528 on local servers.
If you want to try it out, just go to Gitee and browse the open source homepage of OpenStation, where you can download and view the details. If you have any questions, you can also join the group through the "User Communication" module on the project homepage and chat directly with technical experts.
OpenStation open source homepage: https://gitee.com/fastaistack/OpenStation
What is OpenStation?
Simply put, OpenStation is a one-stop large model deployment and management platform designed specifically for enterprises and developers, allowing you to run large model services quickly and conveniently.
The platform provides complete model management, service deployment and user collaboration functions, is compatible with the standard OpenAI API interface, has a built-in efficient inference engine, and provides flexible resource scaling and sophisticated permission management mechanisms.
Key features of OpenStation include:
Easy to use: Through page-based operations, you can quickly deploy large models such as DeepSeek in just a few clicks.
Standard interface: The deployed service provides a standard OpenAI API compatible interface, which facilitates quick access to various client tools.
High performance: supports SGLang, vLLM and CPU deployment, supports stand-alone and distributed deployment, and provides efficient and flexible reasoning engine capabilities
Convenient resource management: Through page-based operations, platform node resources can be quickly added and deleted.
Load balancing: provides a unified inference service portal and supports rapid expansion and reduction capabilities without service awareness.
User authentication management: Supports user-level API-key authentication management to implement access rights control for inference services
How to use?
1. Deploy the model
DeepSeek and Qwen3 large models can be easily deployed in OpenStation. Click the corresponding version name of the model to automatically download the model. The latest version template of DeepSeek-R1-0528 has been adapted.
OpenStation also supports the deployment of other local models specified by the user. Depending on the computing resources selected during the deployment process, OpenStation will use different frameworks such as vLLM and SGLang to provide CPU and GPU acceleration for inference services.
After the service is deployed, you can get the inference service API of the large model. In the interface, you can view the resource usage and health status of the inference service and view the service log information.
2. Distribution service
OpenStation can configure a mailbox server and distribute inference service access information to designated users, simplifying the batch management of large model services.
According to the configuration information, after the service is launched, the OpenStation users will be notified of the usage of the new service by email.
3. Resource Management
OpenStation can centrally manage computing resources and service scheduling on multiple servers. The interface allows users to intuitively view resource usage information and operation and maintenance information, and have an overview of service deployment.
OpenStation provides convenient cluster node expansion and reduction capabilities. After filling in the basic information of the specified server in the interface, OpenStation can include the corresponding server in the service deployment management scope.
