The rapid advancement of AI is driving a shift in the delivery of key components, particularly MLCC ceramic capacitors.
Nichicon has reportedly issued a price increase notice for its full aluminum electrolytic capacitor lineup, citing rising material and energy costs as AI server and power system demand
Aluminum electrolytic capacitors and polymer aluminum capacitor s are mainly used in power supplies, AI servers, electric vehicles and other high-power equipment. Film capacitors are
Both designs are optimized for use with Infineon''s broad AI server power delivery portfolio, spanning the full power chain from grid to core. This includes solid-state transformers and circuit breakers, power
In AI servers, capacitor selection must be holistic — matching electrical behavior, frequency response, thermal reliability, and aging. There is
Select the right capacitors for AI servers by considering voltage, ESR, ripple current, and temperature to ensure reliable, high-performance
But as power integrity requirements intensify across AI servers and high-performance computing (HPC), another component is drawing increasing attention: silicon capacitors.
These requirements make AI server PCB manufacturing much more challenging than conventional multilayer PCB fabrication. The board must provide stable signal transmission, reliable
The demands of AI data centers are applying pressure to all electronic technologies, from measurements to power converters and capacitors
AI Server & Data Center Capacitor Demand Acceleration: AI accelerator servers require up to eight times more MLCCs per unit than conventional servers, driven by dense power delivery
News: Microelectronics 29 June 2026 Infineon adds two new high-efficiency server power solutions for AI data-center PSUs With artificial intelligence workloads redefining the power requirements of
MLCCs, polymer tantalum capacitors, resistors, ferrite beads and inductors are all affected by different combinations of raw material cost, AI demand, automotive qualification and industrial reliability
AI servers need thousands of MLCC capacitors to stabilize voltage, filter noise, and support high-performance GPUs and CPUs during rapid workload changes.
MuRata plans to raise prices on high-end MLCCs as AI server demand surges, with supply tight, production near full capacity, and high-end units in short supply.
In this article, we will explore the critical role of MLCCs in AI server PDNs, how many capacitors are required for modern GPU boards, component selection criteria, and the essential PCB design rules
Learn how capacitor technologies stabilize 800 VDC architectures and manage GPU load transients in high-power AI racks.
As AI workloads continue to drive unprecedented power requirements in data centers, traditional power distribution architectures are
With the rapid expansion of AI servers, automotive electronics, industrial automation, and smart devices, global demand for MLCC (Multilayer Ceramic Capacitors) is rising at an
High-capacitance Multi-Layer Ceramic Capacitors (MLCCs) are entering a period of restricted availability as tier-one manufacturers divert
MLCC manufacturers including Yageo, Murata and Samsung Electro-Mechanics raise prices 15%-35% as AI server demand for high-capacitance capacitors strains production capacity
The shift from DDR4 to DDR5 memory architectures and the adoption of PCIe 5.0 and PCIe 6.0 bus interfaces are raising the decoupling capacitor requirements
The company describes AI servers as a growth driver for IT infrastructure and identifies power supply as a critical bottleneck in AI servers. It also states that it is strengthening
Taiwanese companies are also working to enter NVIDIA''s GB300 power system and supercapacitor supply chain. For example, Delta Electronics
Samsung Electro-Mechanics disclosed on the 30th that it signed a 450 billion won supply contract for multilayer ceramic capacitors (MLCCs) for artificial intelligence (AI) servers with global big
Goldman Sachs calls it the ''largest and longest'' MLCC cycle ever: AI servers now demand up to 28,000 of the tiny capacitors per unit — 13 times a standard server — while Nvidia''s
In this article, we will discuss what kind of performance is required for capacitors, which contribute greatly to supplying power to processors for generative AI based on solutions actually
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