DeepSeek/Qwen Tongyi Qianwen - AI large model domestic graphics card Xinchuang GPU all-in-one machine integrates high-end servers, AI management systems, high-performance foundational models, and a full-process AI toolchain into an out-of-the-box AI solution. Suitable for research institutes, education, government, enterprises, and other users with certain private domain proprietary knowledge, it aims to quickly build AI capabilities to empower text processing, data analysis, scientific research, and other heavy workloads. Designed specifically for cloud-based AI training and inference, it primarily targets large-scale deep learning scenarios in AI.

Through continuous architectural innovation and process iteration, it has covered a product matrix from training to inference and from edge to cloud. The increase in localization rate and the improvement of the ecosystem provide important support for autonomous and controllable AI computing power.

Suitable for fields requiring large AI computing power such as smart cities, smart healthcare, astronomical exploration, oil exploration, weather prediction, and autonomous driving, it applies certain private domain proprietary knowledge to deep learning model development and training, enabling faster AI model training and scientific research for video, image, speech, and text.

DeepSeek/Qwen-AI Large Model Domestic Graphics Card Xinchuang GPU Server Product Advantages:

1. Compatible with mainstream open-source large models such as DeepSeek, Qwen Tongyi Qianwen, and Llama; capable of supporting mainstream domestic and international software and hardware ecosystems, various deep learning frameworks, algorithm models, and acceleration libraries.
2. Compatible with the CUDA ecosystem, supports mainstream market ecosystems, and enables rapid migration of ecosystem applications; supports mixed-precision inference computing such as FP32, FP16, and INT8.
3. Private data does not leave the domain, ensuring data security while building business intelligence agents, addressing the pain point of sensitive data being unable to be uploaded to the cloud.
4. Supports training and inference for the full series of DeepSeek full-performance models, significantly improving performance and reducing deployment costs.

DeepSeek/Qwen-AI Large Model Domestic Graphics Card Xinchuang GPU Server Configuration:

Flagship Edition: DeepSeek-671B Full-Performance/Qwen, Llama, etc.

Processor: 2* Hygon 7390/7490

Domestic GPU Graphics Card: 64G*8

Memory: 64GB*16

Hard Drive: 480G SSD *4 + 3.84T NVMe*4

Network: Configured with RDMA or IB Network Cards

? Supports full-performance 671B models and distilled models (requires deployment of two units)

? High concurrency, strong performance

? Flexible scalability, supports large-scale enterprise applications

High-End Edition: DeepSeek-70B/Qwen, Llama, etc.

Processor: 2* Hygon 7380/7480

Domestic GPU Graphics Card: 32G*8

Memory: 64GB*16

Hard Drive: 480G SSD *2 + 3.84T NVMe*2

Network: Ethernet/RDMA Network Card

? Supports FP16 precision 70B models and distilled models

? Low cost, private deployment

? Meets customer experience and small-scale usage needs

Standard Edition: DeepSeek-32B/Qwen, Llama, etc.

Processor: 2* Hygon 7380/7480

Domestic GPU Graphics Card: 32G*4

Memory: 32GB*8

Hard Drive: 480G SSD*2 + 3.84T NVMe*2

Network: Ethernet

Edge Edition: DeepSeek-14B/Qwen, Llama, etc.

Processor: X86 Processor

Domestic GPU Graphics Card: 32G*2

Memory: 32GB*4 DDR4

Hard Drive: As needed

Network: Ethernet

? Supports small and medium parameter distilled models

? Low barrier to entry, lightweight applications

• Low noise, deployable in government, education, and other office environments

Software Environment:

? Inference Framework: VLLm

? Operating System: Ubuntu, domestic systems