Meeting the Demanding Energy Needs of AI Servers
Explore how innovations in power devices, gate drivers, and DSP-based controllers tackle AI servers'' high energy demands, optimizing efficiency in
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Explore how innovations in power devices, gate drivers, and DSP-based controllers tackle AI servers'' high energy demands, optimizing efficiency in
To meet evolving workload requirements, data center operators need power-delivery systems that scale within existing thermal and physical limits—without increasing cost, power use, or cooling overhead.
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As AI servers scale to meet data center demand, power delivery is becoming one of the most critical and complex engineering challenges, with persistent implications for semiconductor test.
The global market for AI Server Power Modules was valued at USD 5.62 Billion in 2025, marking a period of significant industrial scaling from its 2020 valuation of USD 1.24 Billion.
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Hybrid TCM/CCM control strategy offers a comprehensive approach, combining the strengths of both modes to achieve higher efficiency, performance, and reliability in high-power AI server PSUs.
SOCAMM2 is Samsung''s next-generation LPDDR5X-based server module that brings LPDDR-class power efficiency into a modular form factor purpose-built for
NAND capacity is increasingly allocated to enterprise SSDs, while consumer applications scale back amid cost pressures TrendForce''s latest memory pricing survey reveals that DRAM
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AI energy scaling requires infrastructure designed for exponential growth rather than linear expansion. Traditional data
Learn how GaN technology enables a low-cost, low-profile 6 kW, 800 VDC to 12.5 VDC converter using an ISOP LLC topology. This meets the design
Pfizer needed the ability to scale up to run large SAP workloads. To accomplish this goal, the company selected the IBM® Power® solution as its mission-critical
Flex delivers advanced manufacturing, data center IT and power infrastructure solutions from the grid to the chip, and product lifecycle services to
Texas Instruments Inc. (TI) announced several power management devices and a reference design to help companies meet AI computing demands and scale power management
This trend opens a new segment for hardened, efficient AI Server Power Modules tailored for smaller-scale, decentralized deployments, diversifying the market beyond large hyperscale cloud facilities.
The TDP (Thermal Design Power) of AI server racks, such as the Nvidia GB200 series, has jumped from 700W in the Hopper generation to over 1,200W, necessitating the adoption of liquid
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Hardware # DGX Grace Blackwell rack scale systems are rack scale solutions for graphics processing units (GPUs) connected by NVLink through the
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The first gigawatt-scale AI data centers are arriving this year, and there are five of them. According to research by Epoch AI, five data centers at a scale of one gigawatt or more are expected
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AI energy scaling requires infrastructure designed for exponential growth rather than linear expansion. Traditional data
Rethink power, mechanical, and electrical at scale, including a review of overall system redundancy Large-scale data centers, which primarily serve AI