One-Stop AI Solutions

Empowering smart computing applications. Complete hardware solutions for your AI applications, including servers, GPUs, storage, networking equipment and more.

AI Training and Inference Solutions

AI Training and Inference Solutions

Applications: Deep learning, data training, inference computation, cloud computing platforms, etc.

Industrial AI & Smart Manufacturing Solutions

Industrial AI & Smart Manufacturing Solutions

Applications: Machine vision, production line automation, predictive maintenance for equipment, etc.

Cloud Computing & AI Data Center Solutions

Cloud Computing & AI Data Center Solutions

Applications: Large-scale parallel computing, big data processing, AI service provision, etc.

AI Medical Solutions

Applications: Medical image analysis, AI diagnostic systems, personalized healthcare, etc.

FinTech Solutions

FinTech Solutions

Applications: High-frequency trading, risk prediction, intelligent investment advisors, etc.

customize AI solution

Customized Solution

We can customize AI solution based on your needs. Contact our experts to get your tailored solution.

Success Stories

To protect our clients’ privacy and business secrets, the company information of our clients will be concealed in the following success stories.

Case 1: Cloud Computing & AI Data Center — Optimizing AI Service Delivery

Client Background:
A global leading cloud computing company planning to build a large data center supporting AI computing, aiming to provide efficient, scalable cloud AI services to meet growing data processing demands.
Challenge:
The client needed to deploy high-performance computing hardware to support large-scale deep learning training and inference, along with high-capacity storage and low-latency networking requirements.
Solution:
We provided the client with NVIDIA H100 GPUs, Mellanox InfiniBand networking devices, and PM883 enterprise-grade SSDs to build an efficient data center architecture. The customized hardware setup met the client’s needs for high-performance computing and big data storage.
Results:
After the data center was successfully deployed, computational power was significantly improved, and the cloud platform could efficiently handle AI applications for global clients, with enhanced performance and scalability.

Client Background:
A leading smart manufacturing company aimed to transform its traditional production line into an AI-based automated line to enhance productivity, reduce labor costs, and achieve predictive maintenance for equipment.
Challenge:
The client required a high-efficiency AI computing hardware solution to support machine vision, data analysis, and predictive maintenance tasks, with real-time response and high reliability.
Solution:
We provided the client with NVIDIA A40 GPUs and Mellanox 100GbE NICs, combined with ultra-high-speed SSDs, to build an integrated smart manufacturing solution. An edge computing platform was also deployed to help the company achieve real-time data processing and intelligent decision-making.
Results:
With our solution, the client saw a 40% increase in production line efficiency, predictive maintenance for equipment, and a significant reduction in downtime, improving production efficiency.

Client Background:
A leading hospital group sought to use AI technology to enhance medical image analysis for more efficient disease diagnosis, especially in early screening for major diseases such as cancer and heart disease.
Challenge:
The client required powerful AI computing hardware to support fast processing and analysis of medical images while ensuring data security and privacy protection.
Solution:
We provided the client with NVIDIA DGX Stations, Tesla T4 GPUs, and high-performance NVMe SSD storage to ensure fast image data loading and processing. The GPU-based acceleration platform significantly improved the efficiency of medical image analysis.
Results:
After the system was deployed, diagnostic accuracy and processing efficiency improved significantly, reducing diagnosis time by 30% and greatly enhancing patient treatment outcomes.

Client Background:
A financial technology company focusing on high-frequency trading and intelligent investment. The client wanted to leverage AI technology to optimize investment decisions and risk prediction models to improve trading efficiency and market responsiveness.
Challenge:
The client needed powerful AI computing hardware to process large volumes of real-time financial data, support risk prediction, market analysis, and automated trading decisions, with a strong focus on latency and processing speed.
Solution:
We provided the client with a high-performance computing platform based on NVIDIA A100 GPUs, equipped with high-speed NVMe SSD storage and low-latency 100GbE network devices to ensure efficient and stable real-time data processing.
Results:
After deployment, the fintech platform greatly improved trading speed and data processing capabilities, increasing the accuracy of real-time risk prediction and trading decisions, helping the client gain a competitive edge in a fast-paced market.

Client Background:
A major pharmaceutical company dedicated to leveraging AI and big data technology to provide personalized treatment plans for patients. The client aimed to analyze patients’ genetic data, medical images, and historical medical records to offer precise treatment recommendations.
Challenge:
The client required an efficient, scalable computing platform to support big data processing, AI algorithm training, and real-time analysis while ensuring data privacy and security.
Solution:
We provided the client with a customized NVIDIA DGX A100 system, along with NVMe SSD storage and Mellanox 200GbE networking, to create an integrated data analysis and AI inference platform. Additionally, we offered an AI healthcare application development framework to help the client rapidly deploy personalized treatment solutions.
Results:
The personalized healthcare diagnosis platform was successfully launched, achieving a 25% improvement in diagnosis accuracy and helping patients receive more precise treatment recommendations.

Client Background:
An automation equipment supplier planned to introduce AI technology to enhance robot work efficiency, especially in complex assembly tasks, reduce manual intervention, and improve production quality.
Challenge:
The client needed a powerful computing platform for robots to support real-time visual recognition and dynamic decision-making, ensuring the system could operate in harsh environments.
Solution:
We provided the client with NVIDIA Jetson AGX Xavier and Tesla T4 GPUs, supported by industrial-grade SSD storage and Mellanox 100GbE networking, providing robust computing power and high-speed data transmission. Through deep learning and image processing technology, the automation level of robots in the assembly process was enhanced.
Results:
After implementation, the client’s robotic automation production line efficiency increased by 50%, with a significant improvement in quality stability and a 30% reduction in production errors.

Our One-Stop Solution Advantages

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Guidelines & Resources

FAQs

How to choose the right AI server based on different business needs?

When selecting an AI server for your business, it’s important to consider the specific AI workloads you plan to run, such as machine learning, deep learning, or data analytics. Key factors include the required GPU capabilities, the server’s processing power, memory, and storage. For high-performance tasks, look for servers with powerful GPUs (like the NVIDIA A100 or H100), ample RAM, and fast storage solutions (like SSDs). Additionally, scalability and future-proofing should be considered to handle increasing workloads over time. Collaborating with IT professionals to assess your needs and match them with server specifications is crucial to making the right decision.

To ensure efficiency and stability in AI solutions, you need to focus on proper hardware, software optimization, and system monitoring. Hardware like powerful GPUs, ample RAM, and high-speed storage are fundamental. On the software side, it’s essential to optimize machine learning models for faster processing and reduced resource usage. Regular performance monitoring through specialized tools can help you catch potential issues early. Additionally, implementing backup and failover systems ensures high availability and minimal downtime. Routine updates and maintenance also play a key role in keeping the solution running smoothly.

Yes, we provide ongoing technical support and maintenance services after purchase. This includes software updates, troubleshooting, hardware replacement, and performance monitoring. We also offer premium support options, which may include dedicated support teams, 24/7 assistance, and on-site visits. It’s important for us to ensure that our clients are fully supported, and we clarify the terms of support and maintenance at the time of purchase to meet their specific needs.

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