-
Data Center Cold Aisle Liquid Cooling
Liquid cooling—specifically Direct-to-Chip (D2C) or Cold Plate technology—has emerged as the standard solution for heat rejection in modern data centers. However, shifting from air to fluid introduces complex challenges in hydraulics, water chemistry, and leak prevention. Most vendors are unveiling product roadmaps that include hybrid (liquid-air. Enterprises are adopting high-performance computing (HPC) for artificial intelligence (AI) and machine learning (ML) model training and inference, causing a fast rise in chip, server, and rack densities, power consumption, and heat levels. Data center cooling is now a first-order design constraint, not an afterthought, as AI, hyperscale cloud, and semiconductor workloads drive higher power densities. Effective data center thermal management combines airflow strategies, such as hot aisle/cold aisle and containment strategies, with. There are four base design options for liquid cooling to consider: traditional hot/cold aisle containment, rear-door heat exchangers, direct-to-chip cooling and immersion cooling. The latter three options outperform traditional air-cooling systems, which may be insufficient for cooling the.
[PDF Version]
-
Liquid cooling has more potential than optical modules
HPC and AI applications are the primary factor driving the adoption of liquid cooling. Meanwhile, pluggable copper and optical IO module power consumption exceed MSA-specified limits, necessitating more effective cooling methods for front-panel pluggable form-factor. Thermal management plays a pivotal role in enhancing the reliability and efficiency of high-power pluggable optical modules. Read Time: 6 Min Bandwidth for chip-to-chip and chip-to-memory. Traditional air-cooling solutions can no longer meet the thermal demands of high-performance chips such as GPUs, ASICs, and optical chips. According to IDC, the global liquid-cooled data center market will exceed USD 20 billion by 2027, with a compound annual growth rate (CAGR) of 25%. 2 Liquid. Liquid cooling is a heat transfer mechanism in which the coolant (typically a dielectric fluid or water), via direct or indirect contact with a high-power component like the ASIC or the optical module, removes the heat dissipated by the component and, thereby, controls its temperature.
[PDF Version]
-
Why does AI need an optical module
Optical modules convert electrical signals into light to move data quickly and reliably in AI systems, enabling fast and smooth data processing. Understanding their role is key to building efficient, scalable AI systems. 8Tbps of switching. High-quality optical modules play a crucial role in this process, providing stable high-bandwidth and low-latency links for training and inference tasks, and effectively reducing data transmission error rates in large-scale clusters. There was a time when optics was considered as the basis for a potential com puting technology2, but it became difficult for optical. As networks scale rapidly, the role of optical modules and DAC/AOC cables in enabling data transmission has become increasingly critical, with their quality a vital factor for performance, reliability, and cost efficiency. This article explores why high-quality optics are essential in AI networks.
[PDF Version]
-
Why are AI servers increasing
The AI server market continues its explosive growth, fueled primarily by demand for GPUs – particularly from Nvidia. As the customer base broadens beyond hyperscalers and neoclouds to include enterprise buyers, hardware manufacturers face a new challenge: differentiation. Image:. As part of CRN's AI Week 2024, check out a sampling of AI servers from a number of server vendors and system builders. Cutting Through The Hype On AI Servers AI has been studied for decades, and generative AI has been used in chatbots as early as the 1960s. It's projected that AI servers will climb to about a 41. Dell, Supermicro, HPE are the big 3. But ODM direct sales dominate as Microsoft, Amazon, Google and Meta continue to custom order their own servers. A key driver of this shift is NVIDIA's new Grace Blackwell superchip, which.
[PDF Version]
-
Fiji Micro-Module Data Center
Telecom Fiji Limited's head of ICT, Shalvin Narayan, has announced plans for the construction of a data center set to commence in 2026. Google is set to build a FJ$200 million (US$89. In a recent YouTube video with Vijay Narayan, deputy Prime Minister Manoa Kamikamica said Google connectivity brings "serious opportunities" for Fiji to become a regional hub for the Pacific. The project, which is expected to span approximately 24 months, marks a significant development for both Fiji and the broader Pacific region. Mr Narayan was among the delegates attending the 2025 EXTRA Fiji Architecture Conference and Trade Exhibition at the Sheraton Fiji Golf. Fiji is set to step into a digitally advanced economy, paving the way for greater opportunities and innovation. A. The American multinational corporation and technology company is planning a FJ$200 million Fiji-based data centre, as some Pacific nations face challenges integrating new technologies. Fiji's Prime Minister Sitiveni Rabuka celebrated the.
[PDF Version]
-
How to Choose a Data Center Rack Model
Newer Open Rack (OCP) designs are modular and built for better cooling and easier maintenance in large data centers. Common sizes are 42U or 48U, but smaller 24U racks fit compact setups. Regular maintenance and proper installation are key to ensuring the longevity and efficiency of server racks, with a focus on grounded connections and airflow management. Server racks are the backbone of any data center rack, providing essential support for IT systems. Size: Heights ranging from 24U to 48U (1U = 1. 75 inches), standard widths of 19 inches, and depths of 24 to 48 inches. Effective cooling strategies, whether traditional methods or innovations like liquid cooling, must address escalating thermal loads in data centers driven by high-density computing.
[PDF Version]
-
Thailand Micro Module Data Center 2U
Ending the traditional ways of implementing IT infrastructure by dedicated server which consumes lot of space, power consumption and hardly maintain. Converged infrastructure has rapidly growth due.