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DeepSeek educational all-in-one machine allows schools to use large models and enter a new stage of smart campus

Written by

Jasper Cole

Updated on:July-12th-2025

As a domestic open source AI model, DeepSeek is reshaping the ecology of primary and secondary education with its powerful logical reasoning ability, low deployment cost and localization advantages. This technology achieves lightweight model training of 20 billion parameters through algorithm improvement, supports deployment on ordinary servers, and significantly reduces hardware investment costs. Its multimodal interaction capabilities and long text processing characteristics make immersive teaching, precision tutoring and other scenarios possible. The current application data of 137 primary and secondary schools across the country show that this technology has increased lesson preparation efficiency by 60% and reduced the timeliness of learning situation analysis by 80%, marking that basic education has officially entered a new stage of "human-computer collaboration". The DeepSeek campus intelligent computing machine can help schools choose DeepSeek models with different parameter quantities according to their actual business, and deploy and use them in a lightweight and convenient manner, promoting the application of DeepSeek large models in education, teaching, management, services, etc., and achieving a higher level of burden reduction, efficiency improvement and quality improvement.

1. Reshaping the teaching scene: Eight core applications to build a smart classroom

After practical exploration in many schools, DeepSeek is promoting changes in teaching paradigms through a variety of typical scenarios, forming a complete closed loop covering before, during and after class.

1. Intelligent lesson preparation system (Yiwen Primary School, Yantai High-tech Zone)

Teachers input course topics such as "Pythagorean Theorem" and the system automatically generates complete lesson plans including AR demonstrations and layered exercises. The school's mathematics teaching and research group has shown that the structured lesson plan generation function saves 80% of lesson preparation time, and the accuracy rate of cross-disciplinary resource matching reaches 92%.

2. Double-teacher collaborative classroom (Yinchuan No. 15 Middle School)

In English classes, teachers lead the teaching, and DeepSeek generates grammar challenge games in real time. Junior 3 (3) students practice conversations with AI-generated "Shakespeare" virtual characters, and their mastery of classical grammar increases by 37%. The system also generates a participation heat map to help teachers dynamically adjust their teaching strategies.

3. Virtual Experiment Teaching (Jiangyin Senior High School, Jiangsu Province)

In the physics class, DeepSeek was used to generate a pendulum simulation webpage, and VR technology was used to demonstrate the explosion experiment of sodium metal in water. The system's built-in Phyphox magnetometer module increased the efficiency of data collection in the forced vibration experiment by 300%. The actual test of the second grade showed that the understanding of the experimental principle reached 98%, which was 42 percentage points higher than the traditional demonstration.

4. Precision homework management (Qingdao Wangbu Primary School)

Mathematics teachers input the knowledge points of "trigonometric functions", and the system automatically generates basic + extended layered homework, which supports Word/PDF export. The function of taking photos and uploading wrong questions has reduced the standard deviation of the class average score by 1.2, and the correct rate of students with learning difficulties has increased by 65%.

5. Personalized learning system (new district intelligent teaching platform)

Based on the record of wrong questions, we recommend progressive learning plans, such as the knowledge chain construction of "Newton's Law → Kinetic Energy Theorem". In the information technology classroom for grades 3-6, 200+ situational cases improve the understanding of abstract algorithms by 58%.

6. Interdisciplinary integrated teaching (Shenzhen Qianhai School)

Chinese teachers combined programming with ancient poetry appreciation through the "Moon and Code" script generation. The fifth-grade unit test showed that students' digital literacy assessment value increased by 28% and text parsing speed increased by 40%.

7. Intelligent Teaching and Research Community (Yinchuan Education Bureau)

The regional platform collected 28,000 teaching plans and realized resource sharing between urban and rural schools through federated learning technology. The efficiency of rural teachers' resource acquisition increased by 300%, and the gap in urban and rural teaching quality narrowed by 27%.

8. Collaborative education between home and school (Mishui Future School, Shouguang City)

The parent side supports natural language queries, and the response time for home-school communication is compressed to 5 minutes. With the help of AI-generated career dream photo prompts, the class teacher has increased the participation rate of career planning education to 95%.

2. Reconstructing the value of technology: a triple breakthrough in educational equity

DeepSeek breaks through resource barriers through technological innovation and builds a new ecosystem of "data-driven, resource integration, and capability symbiosis".

1. Lightweight and inclusive deployment

The DeepSeek campus intelligent computing all-in-one model has low hardware costs and can be rented , so that schools with different resource endowments can enjoy the powerful capabilities of the DeepSeek large model . The "AI teaching cabin" deployed in the mountainous area of Guizhou has achieved urban and rural classroom synchronization through 5G, and the cognitive assessment value of rural students has increased by 1.5 standard deviations in three months.

2. Full-process data empowerment

From lesson preparation resource matching to classroom behavior analysis, an 18-dimensional education data map is formed. Data from the Yinchuan Education Cloud Platform shows that the system has increased the accuracy of student situation diagnosis to 89% and the effectiveness of teaching strategy adjustment by 73%.

3. Ecological resource sharing

A school-based knowledge base covering all stages of K12 was established , including 37,000 educational corpora. The "teaching middleware" developed by Qingdao Wangbu Primary School shortened the time for cross-school resource preparation by 65%, and the reuse rate of high-quality teaching plans reached 82%.

3. System deployment plan: Trinity implementation path

The practice of many pilot schools across the country has verified that successful deployment requires grasping three key points:

1. Lightweight software and hardware deployment

Different schools can choose different DeepSeek campus intelligent computing machine configurations according to their financial resources and business realities:

Zhihui DeepSeek Campus Intelligent Computing Machine

serial number

Intelligent computing machine type

Custom development

After-sales

lease

DeepSeek Campus Intelligent Computing Machine-70B

Intelligent agents can be customized and developed as needed

3-year machine warranty, remote machine detection capability, 7*8 hours technical support

Monthly rental available, starting from one year

DeepSeek Campus Intelligent Computing Machine-32B

Intelligent agents can be customized and developed as needed

3-year machine warranty, remote machine detection capability, 7*8 hours technical support

Monthly rental available, starting from one year

DeepSeek Campus Intelligent Computing Machine-14B

Intelligent agents can be customized and developed as needed

3-year machine warranty, remote machine detection capability, 7*8 hours technical support

Monthly rental available, starting from one year

DeepSeek Campus Intelligent Computing Machine-8B

Intelligent agents can be customized and developed as needed

3-year machine warranty, remote machine detection capability, 7*8 hours technical support

Monthly rental available, starting from one year

Zhihui DeepSeek Campus Intelligent Computing Machine-70B

Applicable scenarios

Group School AI Server

Technical highlights

Equipped with ultra-high computing power, full-stack intelligent computing, built-in well-known knowledge base, and educational resource library, the intelligent computing application is ready to use out of the box and can be customized on demand

Large Model

Windows/Ubuntu-RAGFlow+Deepseek-R1:70b

Technical Parameters

name

model

quantity

Motherboard

GIGABYTE MU72-SU0

CPU

Intel Xeon 6330 28C56T 2.0GHz

Memory

Server Memory RECC DDR4 32G 3200MHz

System disk

Yangtze Memory 512GB

Storage disk

2TB M2 NVMe

GPU

4090 48G

Chassis

Customized chassis

heat sink

Air Cooling Radiator

power supply

Great Wall 1650W

System management functions

Image Management

Supports the management of public images and user private images, and supports the creation and access of container environments such as Pytorch/Tensorflow/Vscode/Jupyter.

Monitoring alarm

Supports real-time monitoring of various indicators; supports resource monitoring of each process on each GPU card; supports customization of various alarm rules, supports configuration of multiple mainstream alarm notification methods, and supports historical query of alarm records.

Log Management

Supports the collection and archiving of system logs /container logs, and supports log retrieval.

Configuration Management

Supports specification configuration and system configuration, including various resource node specifications, system logo, system name, billing configuration, monitoring alarm and other functions.

Large model service function

Model Management

Built-in 15+ large models, including mainstream large models such as deepseek/qwen/llama/phi/stablediffusion, supports self-built large models, model disclosure, and version management.

Dataset Management

Built-in 5+ data sets, including ms-bench, alpaca, gpt4all, cot, medical, CodeAlpaca and other data sets, supports self-built data sets, and supports version management.

AI Services

Built-in well-known knowledge base and educational resource library Support users to build dedicated knowledge base based on local resources Support online text dialogue, code generation, and manuscript creation Support online image generation to assist in the creation of images of different styles and contents Support the creation of dedicated knowledge base and RAG-based dialogue services Support open API interface for quick docking of various AI applications

After-sales

3-year machine warranty, remote machine detection capability, 7*8 hours technical support

Certification

Includes: NVIDIA certified global NPN supplier

DeepSeek Campus Intelligent Computing Machine-32B

Applicable scenarios

Group school/single school AI server

Technical highlights

Extremely cost-effective, built-in well-known knowledge base, educational resource library, intelligent computing applications are ready to use and can be customized on demand

Large Model

Windows/Ubuntu-RAGFlow+Deepseek-R1:32b

Technical Parameters

name

model

quantity

Motherboard

GIGABYTE MU72-SU0

CPU

Intel Xeon 6330 28C56T 2.0GHz

Memory

Server Memory RECC DDR4 32G 3200MHz

System disk

Yangtze Memory 512GB

Storage disk

2TB M2 NVMe

GPU

Nvidia 4090 24G

Chassis

Customized chassis

heat sink

Air Cooling Radiator

power supply

Great Wall 1650W

System management functions

Image Management

Supports the management of public images and user private images, and supports the creation and access of container environments such as Pytorch/Tensorflow/Vscode/Jupyter.

Monitoring alarm

Log Management

Supports the collection and archiving of system logs/container logs, and supports log retrieval.

Configuration Management

Supports specification configuration and system configuration, including various resource node specifications, system logo, system name, billing configuration, monitoring alarm and other functions.

Large model service function

Model Management

It has 5+ built-in large models, including deepseek/qwen/llama/phi/stablediffusion and other mainstream large models. It supports tenants to build their own large models, make models public, and support version management.

Dataset Management

Built-in 5+ data sets, including ms-bench, alpaca, gpt4all, cot, medical, CodeAlpaca and other data sets, supports tenants to build their own data sets, and supports version management.

AI Services

After-sales

3-year machine warranty, remote machine detection capability, 7*8 hours technical support

Certification

Included: NVIDIA certified global NPN supplier

DeepSeek Campus Intelligent Computing Machine-14B

Applicable scenarios

Single-school AI server

Technical highlights

Super cost-effective, built-in well-known knowledge base, educational resource library, intelligent computing applications are ready to use and can be customized on demand

Large Model

Windows/Ubuntu-RAGFlow+Deepseek-R1:14b

Technical Parameters

name

model

quantity

Motherboard

MSI B840

CPU

AMD Ryzen 5 9600X

Memory

16G DDR5

System disk

Yangtze Memory 512GB

Storage disk

Yangtze Memory 2TB SSD

GPU

AMD RADEON RX7900 XTX 24G

Chassis

Customized chassis

heat sink

Air Cooling Radiator

power supply

Antec NE850 850W

System management functions

Image Management

Supports the management of public images and user private images, and supports the creation and access of container environments such as Pytorch/Tensorflow/Vscode/Jupyter.

Monitoring alarm

Log Management

Supports the collection and archiving of system logs /container logs, and supports log retrieval.

Configuration Management

Supports specification configuration and system configuration, including various resource node specifications, system logo, system name, billing configuration, monitoring alarm and other functions.

Large model service function

Model Management

Dataset Management

Built-in 5+ data sets, including ms-bench, alpaca, gpt4all, cot, medical, CodeAlpaca and other data sets, supports tenants to build their own data sets, and supports version management.

AI Services

DeepSeek Campus Intelligent Computing Machine-8B

Applicable scenarios

Single-school AI server

Technical highlights

Super cost-effective, built-in well-known knowledge base/education resource library, intelligent computing applications are ready to use and can be customized on demand

Large Model

Windows/Ubuntu-RAGFlow+Deepseek-R1:8b

Technical Parameters

name

model

quantity

Motherboard

MSI B840

CPU

AMD Ryzen 5 9600X

Memory

16G DDR5

System disk

Yangtze Memory 512GB

Storage disk

Yangtze Memory 1TB SSD

GPU

Nvidia 4060ti 16G

Chassis

Customized chassis

heat sink

Air Cooling Radiator

power supply

Antec NE850 850W

System management functions

Image Management

Supports the management of public images and user private images, and supports the creation and access of container environments such as Pytorch/Tensorflow/Vscode/Jupyter.

Monitoring alarm

Log Management

Supports the collection and archiving of system logs /container logs, and supports log retrieval.

Configuration Management

Supports specification configuration and system configuration, including various resource node specifications, system logo, system name, billing configuration, monitoring alarm and other functions.

Large model service function

Model Management

It has 5+ built-in large models, including mainstream large models such as deepseek/qwen/llama/phi/stablediffusion, supports tenants to build their own large models, supports model disclosure, and supports version management.

Dataset Management

Built-in 5+ data sets, including ms-bench, alpaca, gpt4all, cot, medical, CodeAlpaca and other data sets, supports tenants to build their own data sets, and supports version management.

AI Services

After-sales

3-year machine warranty, remote machine detection capability, 7*8 hours technical support

2. Professional data governance

The use of multi-head latent attention (MLA) technology reduces the memory usage of long text processing by 40%. The privacy computing module improves the efficiency of sensitive data desensitization by 75%, which is fully in line with the "Education Data Security Specification".

3. Continuous capacity building

A training system of "prompt word engineering-teaching reconstruction-effect evaluation" was established , and the AI tool mastery rate of key teachers in Yinchuan City reached 100%. The system's built-in fault self-check module has increased the operation and maintenance response time to 15 minutes.

IV. Development Prospects: New Vision of Intelligent Education

1. Multimodal fusion teaching

The combination of AR glasses and force feedback devices has enabled chemical experiment operations to reach a 99% standardization rate and a 100% accuracy rate in reproducing dangerous experiments.

2. Adaptive learning evolution

The dynamic knowledge graph supports the derivation of 132 cognitive paths, and the retention period of historical knowledge is extended by 2.8 times.

3. Ethical Development Framework

36 evaluation indicators, including "human teacher-led rate", ensure that the critical thinking scores of students in technology applications are improved by 22%.

From the intelligent lesson preparation of Yantai Yiwen Primary School to the dual-teacher classroom of Yinchuan No. 15 Middle School, DeepSeek is creating a new educational ecosystem with "thousands of faces for thousands of people". This model of "low threshold deployment + deep scene integration" of DeepSeek campus intelligent computing machine has narrowed the gap in the coverage rate of high-quality resources in urban and rural schools by 40%, and is promoting the true realization of the educational ideal of "education for all". A new era of education with "everyone can be molded and intelligence is everywhere" is coming in great strides.