When it comes to our research infrastructure, we’ve put a lot of thought into being innovative and responsible. We use specialized servers in our center to optimize performance while keeping an eye on our environmental impact. Our storage system is designed for fast data retrieval and processing, with strong security measures in place. As we move forward, we’re excited to explore new technologies and approaches that align with our commitment to progress and ethics.

Server Deployment and Management

Custom designed servers meet our specific research demands, positioned globally for reliability and optimal performance. We’re committed to utilizing and repurposing existing resources, reducing the need for new materials and supporting ecological balance.

Supporting Complex Technologies

Our infrastructure backs sophisticated research in Artificial intelligence, blockchain and quantum computing. Given the resource demands of these technologies, we prioritize efficiency and sustainability. This includes adopting energy efficient hardware and exploring innovative cooling technologies to enhance our AI systems energy efficiency.

Server Configuration

For Artificial intelligence, servers like the NVIDIA DGX A100 are chosen for their accelerated computing power, configured with advanced cooling to manage heat efficiently. Blockchain servers are selected for their high performance and energy efficiency, such as the HPE ProLiant DL385. Quantum computing requires specialized infrastructure, like the IBM Q System One, ensuring security and stability for sensitive computations.

Distributed Data Centers

Our infrastructure spans multiple data centers, leveraging geographical advantages for natural cooling and energy sourcing. This strategic distribution ensures redundancy, reliability and environmental efficiency.

Future Directions

We envision an autonomous, AI driven research facility focusing on sustainable architecture and renewable energy sources. This facility will underscore our commitment to innovation, housing advanced projects and managed entirely by AI systems to optimize operations and research contributions.

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