Latest news with #WaterUsageEffectiveness
The Sun
a day ago
- Business
- The Sun
Rethinking cooling in AI era
MALAYSIA is accelerating towards AI leadership. The recent launch of Southeast Asia's first sovereign, full-stack AI infrastructure signals a strategic shift, bringing compute, data, and digital sovereignty under national control and placing the country at the forefront of regional digital transformation. But as momentum builds, so do demands on the systems supporting it. One of the most pressing and often underestimated challenges; heat. Growing thermal challenge AI workloads are becoming increasingly compute-intensive. Large language models and GPU clusters generate significant heat, placing immense strain on data centre cooling systems. In a tropical climate like Malaysia's, this issue is amplified. The country's data centre footprint is expanding rapidly, with over 1,300MW in development. Projections suggest electricity demand from data centres could exceed 5,000MW by 2035. At the same time, Malaysia faces rising water stress, and power supply applications from data centre operators now make up more than 40% of Peninsular Malaysia's total capacity. This is not merely an energy efficiency issue, it is a national capacity concern. Without addressing thermal limits head-on, infrastructure could become the Achilles' heel of Malaysia's digital ambitions. Newer liquid cooling technologies offer scalable solution Many data centres still operate with air-based cooling systems designed for a very different era. Even direct-to-chip liquid cooling – once considered advanced – is being pushed to its limits by high-density, next-gen AI deployments. Newer liquid cooling technologies, particularly hybrid systems that combine direct and immersive methods, offer a more scalable solution. These systems remove heat at the source, enabling higher rack densities while significantly reducing energy and water consumption. Deployments of such systems have achieved up to 40% reductions in cooling-related energy use and up to 90% reductions in water consumption. These gains are not just technical, they have direct environmental and operational benefits. Recognising the need for more sustainable infrastructure, Malaysia introduced the Guideline for the Sustainable Development of Data Centres back in Budget 2022. The framework sets clear national benchmarks for Power Usage Effectiveness (PUE), Water Usage Effectiveness (WUE), and Carbon Usage Effectiveness (CUE), aligned with ISO/IEC standards. It also complements incentives under the Digital Ecosystem Acceleration (DESAC) programme, which rewards investment in green infrastructure. Designing for density, resilience and ESG With much of Malaysia's upcoming data centre capacity still in planning or construction, there is a rare opportunity to build smarter from the ground up. Several practical considerations can support that goal: - Planning for high-density environments: AI and HPC workloads require more compute power per rack. Designing for higher density from the outset can help optimise space and performance. - Prioritising thermal stability: Advanced cooling systems ensure uptime even under extreme loads, while reducing dependency on energy- and water-intensive processes, especially important in resource-constrained regions. - Aligning with ESG and regulatory standards: As investors and global partners place growing emphasis on sustainability, facilities that meet national efficiency targets will be better positioned for future growth and collaboration. These aren't just engineering upgrades, they are infrastructure decisions that will influence Malaysia's competitiveness in the region's digital future. Cooling has traditionally taken a backseat to compute and connectivity. But in an AI-driven economy, it's quickly becoming a defining factor in performance, sustainability, and viability. Malaysia has made strong progress in laying the foundations of its digital economy. Ensuring that progress is supported by efficient, forward-looking infrastructure, especially in how heat is managed, will determine how far and how fast the country can go. This article is contributed by Iceotope APAC director Jason Low (pic).
Fashion Value Chain
04-07-2025
- Business
- Fashion Value Chain
Astrikos.ai Launches AI-Powered Data Center Intelligence Platform – S!aP Cognus
a leader in AI-driven infrastructure intelligence, is excited to announce the launch of its cutting-edge AI-Powered Data Center Intelligence Platform. This advanced solution is designed to transform data center operations by enabling predictive maintenance, real-time analytics, and enhanced operational efficiency. Leveraging AI and machine learning, the platform ensures higher uptime, reduced costs, and proactive issue resolution, making it a critical tool for modern data centers. The platform, named S!aP Cognus, brings together machine learning (ML), 3D modeling, and advanced analytics to optimize data center performance. With its scalable architecture, S!aP Cognus is capable of monitoring thousands of devices while providing predictive insights and real-time visibility into the most critical aspects of data center management. Key Features of the Platform: AI-Powered Predictive Maintenance: Utilizes machine learning models to predict failures in vital systems such as UPS, HVAC, and battery banks, significantly reducing unplanned outages. KPI Engine Compliant with ISO/IEC Standards: Tracks energy efficiency and operational performance according to recognized benchmarks like Power Usage Effectiveness (PUE), Water Usage Effectiveness (WUE), and Energy Reuse Effectiveness (ERE), aligning with global sustainability and compliance mandates. Real-Time 3D Visualizations: Offers a dynamic digital twin of data centers, helping operators identify issues, simulate potential failures, and monitor live conditions. Modular & OEM-Agnostic Architecture: Supports a wide range of protocols (e.g., Modbus, SNMP, BACnet) and integrates with popular hardware from Schneider, Siemens, APC, and others, reducing deployment friction. Role-Based Dashboards: Delivers tailored dashboards for various stakeholders including Data Center Managers, Sustainability Officers, and Finance Teams to support informed decision-making. Low-Code ML Model Builder: Provides an intuitive interface to design and deploy custom Machine Learning models for specific data center needs without requiring advanced coding expertise. 'With the exponential growth of data and cloud infrastructure, enterprises need intelligent, AI-driven platforms that go beyond traditional monitoring,' said Chinmay Hegde, CEO & Managing Director of 'Our new Data Center Intelligence Platform empowers operators with real-time insights, predictive analytics, and automation to significantly improve efficiency, reduce downtime, and enhance overall sustainability.' Chandrashekar SK, CTO of added, 'Traditional data center management is reactive, leading to inefficiencies and unexpected failures. S!aP brings a proactive approach, enabling AI-powered predictive maintenance, interactive 3D modeling, and seamless third-party integrations to transform how data centers operate in the digital age.' S!aP Cognus platform is designed to deliver energy efficiency, reliability, and sustainability in data center operations. By leveraging AI and machine learning, the platform enables trend analysis, scenario planning, and infrastructure optimization, facilitating strategic decisions that enhance operational agility and resilience. The S!aP platform has already been implemented successfully across several high-profile projects, including Uttar Pradeshs UP 112, the worlds largest Next-Gen Emergency Response Support System (ERSS). The platform also played a pivotal role in the 2025 Prayagraj Kumbh Mela, supporting critical emergency response efforts. And also, 29+ pilot projects which includes 10+ smart cities, 3 data centers across 4 geographies. 'With the increasing demands on data centers to deliver continuous uptime and meet sustainability goals, S!aP Cognus is a game-changer,' said Suresh Bulusu, Director of Sales of 'This platform not only provides predictive insights and operational intelligence but also empowers our clients with actionable data that drives smarter decisions, lower costs, and enhanced performance across their data center ecosystems.' The platform represents a significant advancement in intelligent infrastructure management, contributing to energy savings and sustainability goals while ensuring operational resilience through AI-driven analytics. To know more about the product, visit Astrikos S!aP Cognus or contact us at: connect@ About Founded in 2017 by a team of seasoned professionals, led by Dr. Chinmay Hegde, an innovator, technologist, and thought leader in space, is a pioneer in building advanced AI and ML platforms that are revolutionizing key infrastructure sectors with a key focus on leveraging Urban Analytics. As a centralized intelligence platform, heralds a new era of sophisticated solutions designed to propel sustainable and forward-thinking operational strategies. By leveraging the platform, organizations can experience up to a 30% increase in revenue growth, a 10%-30% increase in planning efficiency, and a 10%-30% reduction in expenses. Intelligence Platform is implemented in the ambitious Uttar Pradesh's UP 112, the world's largest Next-Gen Emergency Response Support System (ERSS). The Platform also played a crucial role in supporting emergency response efforts during the 2025 Prayagraj Kumbh Mela or the Maha Kumbh. Being a 'Make in India platform for the Globe', Astrikos AI has spread their wings across Pan-India, Middle East and North Africa, ASEAN and North Americas.
The Wire
04-07-2025
- Business
- The Wire
Astrikos.ai Launches AI-Powered Data Center Intelligence Platform – S!aP Cognus
Bengaluru, Karnataka, India (NewsVoir) a leader in AI-driven infrastructure intelligence, is excited to announce the launch of its cutting-edge AI-Powered Data Center Intelligence Platform. This advanced solution is designed to transform data center operations by enabling predictive maintenance, real-time analytics, and enhanced operational efficiency. Leveraging AI and machine learning, the platform ensures higher uptime, reduced costs, and proactive issue resolution, making it a critical tool for modern data centers. The platform, named S!aP Cognus, brings together machine learning (ML), 3D modeling, and advanced analytics to optimize data center performance. With its scalable architecture, S!aP Cognus is capable of monitoring thousands of devices while providing predictive insights and real-time visibility into the most critical aspects of data center management. Key Features of the Platform: • AI-Powered Predictive Maintenance: Utilizes machine learning models to predict failures in vital systems such as UPS, HVAC, and battery banks, significantly reducing unplanned outages. • KPI Engine Compliant with ISO/IEC Standards: Tracks energy efficiency and operational performance according to recognized benchmarks like Power Usage Effectiveness (PUE), Water Usage Effectiveness (WUE), and Energy Reuse Effectiveness (ERE), aligning with global sustainability and compliance mandates. • Real-Time 3D Visualizations: Offers a dynamic digital twin of data centers, helping operators identify issues, simulate potential failures, and monitor live conditions. • Modular & OEM-Agnostic Architecture: Supports a wide range of protocols (e.g., Modbus, SNMP, BACnet) and integrates with popular hardware from Schneider, Siemens, APC, and others, reducing deployment friction. • Role-Based Dashboards: Delivers tailored dashboards for various stakeholders including Data Center Managers, Sustainability Officers, and Finance Teams to support informed decision-making. • Low-Code ML Model Builder: Provides an intuitive interface to design and deploy custom Machine Learning models for specific data center needs without requiring advanced coding expertise. "With the exponential growth of data and cloud infrastructure, enterprises need intelligent, AI-driven platforms that go beyond traditional monitoring," said Chinmay Hegde, CEO & Managing Director of "Our new Data Center Intelligence Platform empowers operators with real-time insights, predictive analytics, and automation to significantly improve efficiency, reduce downtime, and enhance overall sustainability." Chandrashekar SK, CTO of added, "Traditional data center management is reactive, leading to inefficiencies and unexpected failures. S!aP brings a proactive approach, enabling AI-powered predictive maintenance, interactive 3D modeling, and seamless third-party integrations to transform how data centers operate in the digital age." S!aP Cognus platform is designed to deliver energy efficiency, reliability, and sustainability in data center operations. By leveraging AI and machine learning, the platform enables trend analysis, scenario planning, and infrastructure optimization, facilitating strategic decisions that enhance operational agility and resilience. The S!aP platform has already been implemented successfully across several high-profile projects, including Uttar Pradesh's UP 112, the world's largest Next-Gen Emergency Response Support System (ERSS). The platform also played a pivotal role in the 2025 Prayagraj Kumbh Mela, supporting critical emergency response efforts. And also, 29 pilot projects which includes 10 smart cities, 3 data centers across 4 geographies. "With the increasing demands on data centers to deliver continuous uptime and meet sustainability goals, S!aP Cognus is a game-changer," said Suresh Bulusu, Director of Sales of "This platform not only provides predictive insights and operational intelligence but also empowers our clients with actionable data that drives smarter decisions, lower costs, and enhanced performance across their data center ecosystems." The platform represents a significant advancement in intelligent infrastructure management, contributing to energy savings and sustainability goals while ensuring operational resilience through AI-driven analytics. To know more about the product, visit Astrikos S!aP Cognus or contact us at: connect@ About Founded in 2017 by a team of seasoned professionals, led by Dr. Chinmay Hegde, an innovator, technologist, and thought leader in space, is a pioneer in building advanced AI and ML platforms that are revolutionizing key infrastructure sectors with a key focus on leveraging Urban Analytics. As a centralized intelligence platform, heralds a new era of sophisticated solutions designed to propel sustainable and forward-thinking operational strategies. By leveraging the platform, organizations can experience up to a 30% increase in revenue growth, a 10%-30% increase in planning efficiency, and a 10%-30% reduction in expenses. Intelligence Platform is implemented in the ambitious Uttar Pradesh's UP 112, the world's largest Next-Gen Emergency Response Support System (ERSS). The Platform also played a crucial role in supporting emergency response efforts during the 2025 Prayagraj Kumbh Mela or the Maha Kumbh. Being a "Make in India platform for the Globe", Astrikos AI has spread their wings across Pan-India, Middle East and North Africa, ASEAN and North Americas. (Disclaimer: The above press release comes to you under an arrangement with Newsvoir and PTI takes no editorial responsibility for the same.).
