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AI WORKSTATION
AI Workstation
A software and hardware integration solution that integrates high-performance AI servers,algorithm frameworks, and industry application software
Product Features
Core Advantage
Application Industry

It provides a desktop-level high-performance AI development and model training environment for researchers, algorithm engineers and small and medium-sized enterprises. Features: Plug and play, high computing power, low power consumption, and easy for local deployment and debugging. TuringEvo's AI workstation products are based on the latest generation of high-performance Gpus and self-developed cooling architectures. They come pre-installed with mainstream AI frameworks and development tools, and support deep learning ecosystems such as TensorFlow, PyTorch, and MindSpore. They feature plug-and-play and rapid deployment capabilities.

Through optimized hardware configuration and system tuning, AI workstations can complete model development, algorithm verification, and small-scale training tasks in a single-machine environment, providing stable and efficient local computing power support for R&D teams.

01
Self-developed reasoning engine, pioneering store-based conversion and full-system reasoning architecture
The threshold for local deployment of large models has been reduced by 10 times Supports mainstream large models, including Qwen3 235b, QwQ 30b, DeepSeek 6718, and the entire series of distillation models, Qwen 72b.The entire series including 32b Supports multimodal models, Embedding&Rerank models, 0CR models, etc., and supports mixed promotion of multiple models
02
Integrated software and hardware delivery, ready to use out of the box
Model operation and maintenance platform: Graphical interface operation, automated hardware resource allocation, dozens of large models built-in, one-click start and stop
03
The NVIDIA ecosystem
It has good compatibility with large models and a relatively good cost performance
04
A product matrix covering all scenarios of reasoning
From individual scenarios to large teams, it meets the deployment requirements of private large models at all levels and provides high-performance inference solutions

It provides a desktop-level high-performance AI development and model training environment for researchers, algorithm engineers and small and medium-sized enterprises. Features: Plug and play, high computing power, low power consumption, and easy for local deployment and debugging. TuringEvo's AI workstation products are based on the latest generation of high-performance Gpus and self-developed cooling architectures. They come pre-installed with mainstream AI frameworks and development tools, and support deep learning ecosystems such as TensorFlow, PyTorch, and MindSpore. They feature plug-and-play and rapid deployment capabilities.

Through optimized hardware configuration and system tuning, AI workstations can complete model development, algorithm verification, and small-scale training tasks in a single-machine environment, providing stable and efficient local computing power support for R&D teams.

It provides a desktop-level high-performance AI development and model training environment for researchers, algorithm engineers and small and medium-sized enterprises. Features: Plug and play, high computing power, low power consumption, and easy for local deployment and debugging. TuringEvo's AI workstation products are based on the latest generation of high-performance Gpus and self-developed cooling architectures. They come pre-installed with mainstream AI frameworks and development tools, and support deep learning ecosystems such as TensorFlow, PyTorch, and MindSpore. They feature plug-and-play and rapid deployment capabilities.

Through optimized hardware configuration and system tuning, AI workstations can complete model development, algorithm verification, and small-scale training tasks in a single-machine environment, providing stable and efficient local computing power support for R&D teams.