The Role of Custom Magnetics in AI Infrastructure and High-Speed Data Systems
The conversation around artificial intelligence tends to focus on the software side. The algorithms, the models, the training data. But none of that works without the physical infrastructure underneath. AI workloads consume enormous amounts of electricity and generate significant heat. They require data to move quickly between processors, memory and storage. And at the heart of the hardware that makes all of this possible are magnetic components that most people never see.
Custom transformers, inductors, reactors and magnetic amplifiers handle the power conversion and signal conditioning that keep servers running, networking equipment communicating and data centers operating without interruption. As AI infrastructure expands, the demand for these components is growing alongside it. At SI Manufacturing, we have been designing and building these types of magnetic assemblies for decades and we see the shift toward AI-driven applications reshaping what our customers need.
What Magnetic Components Actually Do in Data Systems
Power supplies are the foundation of any electronic system and AI data centers are no exception. The electricity that comes from the grid is alternating current, but the processors and memory modules inside servers run on direct current. Converting AC to DC is the first job. From there, DC-DC converters step voltage up or down to match the requirements of different components. A processor might need a very specific voltage at a very specific current level and any deviation can cause instability or damage.
Transformers are the components that handle these conversions. In the context of AI infrastructure, they aren’t the large utility transformers you see on power poles. These are smaller and more specialized devices designed to work at higher frequencies and with tighter tolerances. A single server rack might contain dozens of transformers, each serving a different power rail. When you multiply that across thousands of racks in a data center, the total number of magnetic components becomes staggering. Our transformers can convert milliwatts to kilowatts or millivolts to kilovolts, which gives us the flexibility to serve a wide range of power requirements within these systems.
Inductors and reactors serve a different purpose. They store energy in a magnetic field and release it when needed. This makes them useful for filtering out noise from power lines and smoothing out voltage fluctuations. In high-speed data systems, electrical noise is a persistent problem. It can corrupt signals, cause errors and slow down data transmission. Inductors help keep power clean so that the sensitive electronics downstream can operate without interference.
Why AI Changes the Requirements
Traditional data centers were built around predictable workloads. Servers ran at relatively steady utilization levels and power demands were consistent. AI training workloads are different. They create sudden, massive spikes in power consumption as thousands of processors kick into high gear simultaneously. The power delivery system has to respond instantly to these changes without letting voltage drop or overshoot.
This is where magnetic amplifiers come into play. These devices use magnetic saturation to control the flow of current to provide a degree of regulation that responds faster than some electronic alternatives. They are also known for their reliability, which matters when a data center is running 24/7 and any downtime costs money. Our magnetic amplifiers are built for exactly these kinds of demanding applications, where consistent performance and safety are absolutely necessary.
The physical environment also affects component selection. Data centers are hot, crowded and subject to vibration from cooling fans and hard drives. Magnetic components need to withstand these conditions without drifting out of specification. Some applications require encapsulation in epoxy, urethane or silicone to protect against moisture and contaminants. Others need vacuum or pressure processing to eliminate air pockets that could affect performance. We offer a full range of encapsulation capabilities (spray, dip, assembly molds and meter-mix processing) so we can match the protection method to the operating environment.
The Shift Toward Higher Frequencies
As data rates increase, power supplies are moving to higher switching frequencies. A higher frequency allows for smaller transformers and inductors, which is an advantage when space is limited. But it also creates new challenges. Core losses increase at higher frequencies, which means the magnetic materials have to be chosen carefully. The winding techniques have to account for skin effect and proximity effect, which cause current to concentrate in certain areas of the conductor.
These aren’t theoretical concerns. They affect the physical design of every transformer and inductor that goes into a server or networking switch. A manufacturer that has experience with precision winding—accommodating wire sizes from heavy to fine configurations—can produce components that perform consistently across a range of operating conditions. Our winding capabilities span wire sizes from 00 to 48 and we specialize in bobbin, coil form, toroidal and air core winding. That range gives us the flexibility to handle the varied requirements of AI infrastructure components.
Integration with Power Supplies
The magnetic components don’t work in isolation. They are part of larger power supply assemblies that include rectifiers, filters and control circuits. Some power supplies are linear, which means they use a transformer followed by a rectifier and a regulator. Others are switch-mode, which means they convert the input voltage at high frequency before applying it to the transformer. Each approach has trade-offs in terms of size, efficiency and cost.
Custom power supplies for AI applications often combine multiple conversion stages. AC-DC converters bring the incoming power down to an intermediate voltage. DC-DC converters then distribute that power to different loads. EMI filters remove the high-frequency noise that these converters generate so that it doesn’t interfere with nearby equipment. The magnetic components in each stage have to be matched to the electrical requirements of that stage. We work with power levels up to 5KW, covering AC/DC and DC-DC configurations as well as switch-mode and linear power supplies.
Our Approach to Quality and Testing
Every magnetic component that goes into an AI data center has to perform consistently over its entire service life. A failure in a single transformer or inductor can take down a rack of servers or disrupt network traffic. That is why testing matters. We inspect every component through electrical, functional, visual, mechanical and environmental testing. This covers not the basic electrical parameters but also how the component holds up under temperature cycling, vibration and other stressors it will encounter in actual operation.
The industries we serve (including space, mil-spec, medical and high-grade industrial applications) have taught us what thorough testing looks like. Those sectors don’t tolerate shortcuts and neither does AI infrastructure. When a data center is running at full capacity, there is no room for components that drift out of specification or fail prematurely.
Applications Beyond the Data Center
The same magnetic components that support AI infrastructure also serve other industries. Railway systems use transformers and inductors for traction power and signaling. Military applications require components that can operate in extreme environments. Medical equipment demands high isolation and low leakage current. The underlying principles are the same in each case but the specific requirements vary. The experience we have gained across these industries informs how we approach new projects, including those in the AI space.
The demand for high-speed data processing isn’t going to slow down. As AI models get larger and more complex, the infrastructure behind them has to scale accordingly. That means more servers, more networking equipment and more power conversion components. The magnetic components inside these systems aren’t glamorous, but they are essential. They turn raw electricity into the clean, regulated power that processors and memory need to do their work. At SI Manufacturing, we build those components with the same attention to detail whether they are going into a data center, a railway signaling system or a military aircraft.