Advanced AI Ready Data Center Solutions & Services
Powering Your Generative AI Workloads with Purpose-Built Infrastructure
The swift rise of Generative AI is pushing the limits of what we thought was possible, calling for extraordinary computational power, lightning-fast connectivity, and top-notch cooling systems—things that traditional facilities just can’t handle. To avoid infrastructure slowdowns and overheating issues, businesses need a tailored environment.
At OneAsia, our AI ready data center solutions are purpose-built to bridge this gap. Our infrastructure is high-density, scalable, and energy-efficient, specifically designed to support your most demanding AI models, from complex parallel processing to heavy-duty machine learning. By migrating to our optimized facilities, organizations can rapidly enhance their AI capabilities while keeping costs in check and ensuring peak performance.
What Our AI-Ready Data Center Services Offer
High-Performance Computing
Advanced servers with powerful processors like GPUs, Tensor Processing Units (TPUs), and specialized AI accelerators, high-speed networking, and massive storage systems.
Advanced Cooling Systems
Efficient cooling solutions like air cooling, Rear Door Heat Exchangers (RDHx), immersion cooling, and direct-to-chip cooling to manage the substantial heat generated by AI workloads.
Efficient Power Distribution
Precision power delivery, high power usage effectiveness (PUE), redundancy and fault tolerance, and renewable energy integration.
Why Choose OneAsia For Your AI Ready Data Center Solutions?
OneAsia offers a comprehensive AI-ready data center ecosystem that sets us apart from the competition. Here are some key advantages:
OAsis: Our Proprietary AIOps Portal
OAsis provides a centralized platform for managing and optimizing Gen AI and GPU workloads, simplifying operations and improving efficiency. With IBM’s watsonx integrated into OAsis, Gen AI can be deployed with just a few clicks.
Advanced Servers for AI Training
Our data centers are equipped with cutting-edge servers and high density server racks optimized for AI training and high-performance computing (HPC), delivering exceptional performance.
High-Speed Network and Connectivity
We have established strategic partnerships with leading technology partners such as Cisco, Huawei, and New H3C Technologies, to provide high-speed network infrastructure.
GPU as a Service
Benefit from flexible resources through our GPU as a Service offering, allowing you to scale capacity based on your specific needs. Our GPU as a service offering allows flexibility with consumption based pricing and billing.
Comprehensive Cooling Solutions
Our data centers employ advanced cooling technologies such as immersion cooling and RDHx to maintain optimal operating conditions and minimize energy consumption.
Robust Cybersecurity
We prioritize multi-layered cybersecurity and physical protection to ensure the absolute integrity of your mission-critical AI workloads. Our facilities comply with stringent international standards (such as ISO 27001 and SOC 2) and dedicated on-premises infrastructure to ensure strict data sovereignty and privacy, keeping your proprietary training datasets secure.
How Do AI-Ready Data Centers Benefit Your Business?
Accelerated Business Growth
By providing the essential infrastructure for developing, deploying, and scaling AI applications, leading to faster insights, better decision-making, and a competitive advantage.
Enhanced Efficiency
By optimizing power distribution, cooling systems, and workload management, a dense-compute infrastructure can significantly reduce energy consumption and operational costs.
Scalability and Flexibility
These centers can easily adapt to evolving AI workloads by scaling up or down resources as needed, ensuring optimal performance and cost-effectiveness.
How Can An AI-Ready Data Center Be Efficient?
AI infrastructure requires meticulous optimization to ensure efficient operations. Given the energy-intensive nature of AI workloads, prioritizing efficiency is crucial for both performance and cost-effectiveness.
Power Optimization
Precision Power Delivery (PPD): Ensuring servers receive the exact amount of power needed prevents energy waste and improves system stability.
Power Usage Effectiveness (PUE): Implementing strategies to reduce PUE, such as optimizing cooling systems and utilizing energy-efficient hardware, is essential for cost savings and environmental sustainability.
Redundancy and Fault Tolerance: Building redundancy into the power distribution system helps prevent downtime and data loss, ensuring continuous operations.
Advanced Cooling Systems
Liquid Cooling: Adopting liquid cooling technologies, like immersion cooling or direct-to-chip cooling, can significantly enhance cooling efficiency compared to traditional air-cooling methods. These systems can handle higher heat densities and reduce energy consumption.
Airflow Management: Optimizing airflow within the data center is essential for preventing hot spots and ensuring efficient heat dissipation. Using hot and cold aisle containment, along with proper rack layout, can improve cooling performance.
Infrastructure Optimization
Modular Design: Adopting a modular approach to AI data center infrastructure allows for flexible expansion and optimization, enabling organizations to scale resources based on changing workloads and technological advancements.
Workload Optimization: Analyzing and optimizing AI workloads can help identify opportunities to reduce computational requirements and energy consumption. Techniques such as workload consolidation and scheduling can improve efficiency.
Real-Time Monitoring and Control: Implementing advanced monitoring and control systems enables real-time optimization of power and cooling resources based on changing conditions. Predictive analytics can help identify potential issues and prevent downtime.
Streamlined Onboarding Process
Transitioning to a high-density environment should be effortless. Our expert team guides you through every step:
- Consultation & Design: Assessing your computational needs and thermal requirements.
- Rapid Deployment: Quick provisioning of GPU resources and customized cooling architectures.
- Ongoing AIOps Support: 24/7 monitoring and optimization via our proprietary OAsis platform.
Evolve With An Upgraded AI operation Today
Don’t let outdated infrastructure hold back your ambition. Contact our team of experts today to schedule a personalized consultation, and discover how our advanced AI data hub services can accelerate your business growth.
FAQ
It is a specialized facility designed to handle the immense computing power required for artificial intelligence. These centers are equipped with high-performance hardware, advanced cooling systems, and efficient power infrastructure to support the demanding workloads of AI applications.
It directly accelerates business growth by providing the essential infrastructure for AI initiatives. It offers the computing power, scalability, and efficiency needed to develop, deploy, and scale AI applications. This leads to faster insights, better decision-making, and a competitive advantage in the market.
The main difference lies in computational and cooling capacity. An AI-ready data center is built specially for intensive and massive computational demands of artificial intelligence to handle the complex algorithms and large datasets, whereas the traditional one is designed only for general IT operations with some computing tasks, focusing on storing and managing data.
Primary challenges include securing massive energy resources, managing complex infrastructure, and controlling high operational costs. Since AI technology evolves rapidly, these facilities also require constant hardware upgrades, advanced thermal management, and a highly specialized (and often scarce) IT workforce to operate effectively.
