Enhancing R&D Capabilities
Technology Committee
Inventec’s business group establishes cross-departmental Technical Committee and dedicated unit to effectively manage issues related to product R&D, design, quality verification, and project management within the business group. In addition to incorporating relevant advanced knowledge and staying abreast of technology development trends, this initiative employs a horizontal operation approach to connect internal and external resources, facilitate project discussions, consolidate resources, provide education and training, and propose improvement measures. Inventec promotes interdisciplinary exchange and management of technology, design, and quality across various units. Furthermore, Inventec actively nurtures R&D talents, enhances R&D capabilities, and strengthens the core competencies of R&D in innovative product design.
Diverse Industry- Government-Academy-Research Cooperation
Inventec actively seeks diverse opportunities for collaboration with industry, government, academia, and research institutions with an open mind and proactive mindset. Through partnerships with experts and organizations from various sectors, we establish a two-way connection. By focusing on key R&D areas within the Inventec group, we not only enhance our own innovation capabilities but also aim to cultivate globally competitive technology and management talents. This effort contributes to building a strong talent pool for the industry.
Strategic Initiatives
- Excellence talent scholarship program
- Internships and pre-employment program
- Industry experts' lecture
- Talent training workshop
- Industry-academia alliance program
- Research project
- Innovation competition
- Business networking
- Industry-academic master program
Innovation and R&D Incentive Mechanism
The Inventec group recognizes the importance of innovative R&D and intellectual property value creation. To enhance the quality of patents and maximize their value, Inventec has established a mechanism that includes creative proposal submissions, review procedures, and generous incentives. This mechanism aims to encourage employees to continuously improve and innovate, accumulate R&D capabilities, and enhance the overall competitiveness of the enterprise.
R&D Technology and Applications
Stormtrack Gaming Laptop
Won the German iF Design Award
Inventec is dedicated to the R&D and innovation of computer products, aiming to deliver the best technological experience. Through continuous refinement and the drive for design value, Inventec has designed the world's first ultra-slim and cutting-edge notebook computer.
- System thickness of only 1cm
- Support 210W powerful performance
Inventec Naboo Ultra Thin Mini Desktop
Won the German iF Design Award
This ultra-thin mini desktop computer is different from traditional computer devices. Important data can be taken with you, and it is convenient to carry to any work place. Through the connection, the complex work environment can be simplified. With the size of a mobile phone, it easily fits into bags or pockets for effortless portability. Furthermore, it features fingerprint recognition to protect data security.
- The body is only 1cm thick, the same size as a mobile phone
- Support two 4K displays simultaneously
- IPX5 waterproof, safeguarding against the impact of environmental issues on use
Inventec Fanless Notebook
Won the German iF Design Award
The fanless notebook computer designed by Inventec delivers up to 4 times the performance of any comparable fanless products in the market, reducing the device failure rate by 30% and also providing users with a quiet and comfortable environment.
- Fanless design with a maximum performance of 18W
- Through the special hinge design, the heat is dispersed to the screen side, increasing the heat dissipation area
- Zero noise:provides users with a quiet and comfortable experience
- Zero worries:no longer worry about dust entering the device through the air inlet
- Design flexibility:the fanless design provides more internal design space that can increase battery capacity, audio space, or an SSD
R&D History and Plan of AI Thermal Management Technology
Data centers or server rooms are experiencing rapid growth in order to meet the strong demand required by various emerging technologies such as 5G and Internet of Things. In order to ensure high computing performance and high stability, it has become a global trend to adopt energy-saving and high-efficiency cooling solutions. Regardless of the type of server, cabinet, or data center, effective thermal management solutions with highly efficient cooling technologies are essential to reduce carbon footprint and enhance computing performance. Inventec’s AI thermal management technology uses the historical data of the past 20 seconds to accurately predict the trend change after 10 seconds, and use this information for pre-control to achieve precise temperature control and optimize heat dissipation and energy consumption.
Description of Technical Principles
Extracting various crucial features within servers or cabinets and utilizing a deep learning model with multi-variable and multi-step time series, we train and predict the changing trends of temperature or required information for future time intervals. Combining this prediction with algorithmic design, we develop optimal cooling control. The objective is to identify approximate optimal control parameters within a limited search space, aiming to achieve low energy consumption and high efficiency.
- Understanding Physical Systems
- Data Acquisition
- Initial Model Evaluation
- Defining Input Features and Target Variables
- Model Training
- Identify Control Objectives (Temperature, Energy Consumption)
- Define Objective Functions (Temperature, Energy Consumption)
- Optimize Objective Functions Based on Model Inference Results (Rotational Speed)
Technology Milestones
Inventec is actively engaged in the development of emerging energy-efficient technologies, aiding clients in attaining more efficient data center solutions. Through projects such as "Air Cooling Management Technology" and "Liquid Cooling Management Technology", Inventec has integrated AI deep learning modules to optimize both traditional air cooling and next-generation liquid cooling server and cabinet thermal management technology. This optimization aims to conserve energy and enhance energy efficiency of the data center, thereby promoting the advancement of cloud computing, edge computing, and high-performance computing applications.
CPU Temperature Prediction
Using Neural Network Models
PCIe high-speed peripheral component interactive connection device expansion card chip temperature prediction
Root mean square error (RMSE) of temperature prediction 0.48 °C
Cabinet Wireless Monitoring
Use temperature prediction as the basis for cabinet fan control
Research on Airflow Control of Cabinets
Enhancing Airflow Control Efficiency
Closed single-phase liquid cooling plate control
Improve the efficiency of server airflow and CPU pump linkage control