DeepSeek Redefines Large Model Applications in 2025

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Update time : 2025-05-08

GST Unveils Game-Changing Integrated Server Solution

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In early 2025, DeepSeek emerged as a revolutionary breakthrough, dramatically simplifying the deployment and application of large models for enterprises. This innovation has triggered a rapid surge in the adoption of large model inference applications across industries, enabling businesses to harness AI's potential more efficiently.


GST Pioneers DeepSeek All-in-One Training & Inference Integrated Server Solution

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As a leading server manufacturer and industry application solution provider, GST has launched the DeepSeek All-in-One Training & Inference Integrated Solution, a comprehensive offering that seamlessly combines software optimization with high-performance server hardware. Engineered specifically for DeepSeek frameworks, this solution empowers enterprises to unlock the full potential of AI with unprecedented ease and efficiency.


Rapid Deployment and Flexible Usage

One-click deployment enables quick activation. It also supports private API deployment to ensure the security of sensitive information.


Unleashing Ultimate Computing Power to Accelerate AI Task Processing

It can meet the concurrent demands of complex scenarios, is suitable for various high-load scenarios, and drives business innovation.


Reducing the Costs of AI Applications for Enterprises

High-performance servers optimize the architecture to improve resource utilization, significantly reducing the computing power expenditure for enterprises in the long term. The servers maintain high energy efficiency even when running at full load, reducing the energy consumption per task.


The DeepSeek All-in-One Training & Inference Integrated Solution represents a new benchmark in enterprise AI infrastructure. By combining seamless deployment, industry-leading performance, and cost optimization, GST is set to empower enterprises worldwide to drive innovation, streamline operations, and realize the full potential of large model applications.


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