Blog

AI Data Center Power Smoothing - Why Is GrapheneGPU Different?

jussi.pikkarainen@skeletontech.com (Jussi Pikkarainen) — Mon, 11 Aug 2025 08:54:19 GMT

AI data centers do not draw steady power, but instead, the demand can swing from 20 MW at idle to 180 MW at full burst in a few milliseconds, then crash back down just as fast. Depending on the configuration, a single GPU rack can jump from roughly 6 kW at idle to more than 30 kW in under a tenth of a second, a fivefold surge that traditional power infrastructure struggles to handle.

Supercapacitors vs. Batteries: Which Is Better for Peak Shaving?

Inca Paatela — Tue, 17 Jun 2025 14:15:15 GMT

Two of the most common energy storage technologies used for managing peak shaving are supercapacitors and batteries. Both have their advantages, but they serve different purposes when it comes to peak shaving. So, which one is better for peak shaving? Let’s explore the differences between supercapacitors and batteries, and when and why you might choose one over the other for managing peak energy usage.

Why Skeleton’s Industrial Energy Storage is the Best Choice for AI Data Centers

Inca Paatela — Thu, 12 Jun 2025 08:38:10 GMT

As AI continues to evolve and become increasingly integral to industries worldwide, AI data centers have emerged as the heart of this technological revolution. However, these AI data centers face a significant challenge: managing the massive energy demands required to process the complex workloads associated with AI. At Skeleton, we recognize the high power and performance challenges that AI data centers face, and we’ve developed industrial energy storage solutions specifically designed to address these needs.

Keep the lights on - Supercapacitors prevent blackouts

Inca Paatela — Fri, 02 May 2025 12:14:29 GMT

Power outages are no longer the exception, or a seasonal disruption attributed to climate change – they are fast becoming the new normal globally. At the end of April of 2025, major power outages led to a state of emergency in Spain and Portugal, with cities including Valencia and Barcelona left completely without power.

Why AI Data Centers Need Supercapacitors

Inca Paatela — Thu, 24 Apr 2025 08:49:31 GMT

We’re entering a new phase of digital infrastructure where compute performance is outpacing power delivery capabilities. AI data centers aren’t just larger — they’re more electrically volatile. They don’t need more energy — they need better energy management, and that’s something supercapacitors can deliver.

As AI workloads continue to scale, the supporting infrastructure is under increasing pressure to adapt — not just in terms of compute power, but energy delivery. Today’s AI data centers are pushing power systems to their limits, and conventional battery-based solutions alone aren’t built to handle the instantaneous demands of accelerated computing.

This is where supercapacitors are becoming essential. Not optional. Not supplementary. Essential.

The Power Profile of AI Is Changing

Traditional enterprise workloads are relatively predictable. AI workloads are not. They’re characterized by large-scale, parallelized compute that spikes power demand in short, sharp bursts. This is especially true in training large language models or handling concurrent inference at scale. What used to be a steady energy draw is now a highly dynamic, high-intensity profile.

This presents three major challenges for power infrastructure:

Sudden spikes	in energy demand when GPUs or TPUs spin up simultaneously.
Inefficiencies and instability	in power delivery under fast-changing load conditions.
Cost volatility	due to peak demand charges and inefficient energy use.

Batteries can’t respond fast enough to these shifts. Grid infrastructure can’t always accommodate them. That’s why the discussion is shifting from energy capacity to energy responsiveness — and that’s the territory of supercapacitors.

Why Supercapacitors Are the Right Fit for AI Data Centers

Supercapacitors (or ultracapacitors), offer high power density and extremely fast charge/discharge cycles. They don’t store as much energy as batteries, but they respond nearly instantly. That responsiveness makes them ideal for buffering, peak shaving, and short-duration backup.

Key characteristics that matter for data centers:

Response time: milliseconds or less.
Power throughput: high instantaneous current delivery without degradation.
Cycle life: over 1 million cycles without performance loss.
Thermal safety: no thermal runaway or flammability risks.
Operating efficiency: minimal energy lost during charge/discharge.

Where a lithium-ion battery may take several seconds to ramp up, a supercapacitor can deliver peak power in microseconds. That difference is crucial when you have GPU clusters that can draw tens of megawatts in a matter of seconds.

A Material Advantage of Supercapacitors

Skeleton is leading the field with its proprietary Curved Graphene — a material breakthrough that significantly enhances capacitance and conductivity over traditional activated carbon-based supercaps.

Performance benefits of Skeleton’s Curved Graphene-based supercapacitors:

3.7x higher power density than the lithium-ion capacitors.
Up to 50% lower ESR, meaning lower heat losses and higher efficiency.
20+ year lifespan with no chemical degradation.
Broad thermal operating range, well beyond that of typical batteries.
100% maintenance-free operation in mission-critical environments.

The result is a storage and power delivery solution that’s tailor-made for AI data centers where power stability, performance, and resilience are non-negotiable.

Supercapacitors in Action

Peak Shaving

Data centers are subject to peak power tariffs — fees based on the highest short-term power consumption during a billing cycle. For AI facilities with variable workloads, this can be financially punishing.Supercapacitors can handle these peak loads by discharging rapidly during demand spikes, reducing draw from the grid and cutting peak demand costs without impacting operations.

UPS Bridging and Fast Transfer

Conventional uninterruptible power supplies (UPS) often rely on batteries and generators. But there’s a gap — a critical few seconds between a grid fault and generator ramp-up. Supercapacitors bridge that time with zero latency, ensuring no interruptions to sensitive compute workloads. With Skeleton’s systems, that bridging happens seamlessly — no relay delays, no voltage dips.

Load Leveling and Voltage Stabilization

AI clusters — especially those built around high-density GPU arrays — create unpredictable, transient demand patterns. Supercapacitors smooth out these fluctuations, acting as dynamic buffers between the load and the grid or local generation assets. This not only protects hardware but reduces wear on power conversion systems and improves overall facility power quality.

Renewable Integration

Many data centers are increasing reliance on solar and wind, but these sources are inherently intermittent. Supercapacitors are well-suited to firming renewable power by absorbing and releasing energy at high speed without cycling limitations. They don’t just store energy — they manage how and when it’s delivered.

Why Traditional Batteries Fall Short

It’s not that batteries are obsolete — they’re just insufficient on their own. Lithium-ion systems have slower response times, finite cycle lives, and require complex thermal management systems. They’re good for energy capacity, not instantaneous power.

Trying to make lithium batteries handle fast, spiky AI loads is like asking a cargo ship to drag race. Supercapacitors, on the other hand, are the drag racers of the energy world. Fast. Durable. Efficient. Designed for precisely the kind of electrical dynamics AI data centers generate.

Pairing batteries with supercapacitor systems allows operators to optimize both energy storage and high-speed power delivery — without compromising safety or efficiency.

Nowadays AI data centers increasingly face ESG pressure to reduce lifecycle emissions. Supercapacitors support that by eliminating the need for frequent battery replacements, reducing thermal footprint, and avoiding the use of hazardous materials.

To explore Skeleton Technologies’ full range of solutions for AI data centers, visit: 🔗 skeletontech.com/datacenters

How to Build an Energy-Efficient AI Data Center

Inca Paatela — Wed, 23 Apr 2025 07:50:04 GMT

In the fast-paced AI economy, data centers are the backbone of nearly every business now. However, with increasing demands for computing power, the energy consumption of these AI data centers has grown significantly. For businesses aiming to stay competitive while being responsible stewards of the environment, building an energy-efficient AI data center is a crucial step.

Energy-efficient AI data centers aren’t just about cutting costs; they’re also about reducing the environmental impact of large-scale computing operations. With the right design, innovative cooling technologies, renewable energy integration, and smart energy management systems, you can create a AI data center that maximizes both performance and sustainability.

In this article, we’ll explore the best practices for creating an energy-efficient AI data center and how supercapacitors are helping to make AI data centers smarter and more greener.

What is Peak Shaving in AI Data Centers?

Inca Paatela — Mon, 14 Apr 2025 05:38:49 GMT

AI data centers are pivotal for supporting a wide range of services, from machine learning and data analytics to cloud computing. These centers handle vast amounts of data and perform complex computations, making them the backbone of AI-driven applications across industries. As the demand for AI-powered services grows, so does the energy consumption of these data centers, leading to significant challenges in managing efficiency, cost, and environmental impact.

AI data centers now face increasing difficulty in managing their energy consumption efficiently due to fluctuating computing power demand. One strategy that has emerged as crucial for optimizing energy use and reducing costs in AI data centers is peak shaving.

This article will introduce the concept of peak shaving and explain why it is essential for AI data center operations.

Supercapacitors 101: Maintenance and Lifespan of Supercapacitors

jussi.pikkarainen@skeletontech.com (Jussi Pikkarainen) — Tue, 18 Feb 2025 07:38:55 GMT

Supercapacitors offer impressive durability and handle heavy cycling far better than battery technologies. However, they aren’t magic—like all electronic components, supercapacitors, even ones from Skeleton, have their limits. However, by carefully managing voltage, temperature, and other stress factors, you can make supercapacitors last for decades or millions of lifecycles while delivering reliable power on demand.

Supercapacitors 101: Understanding How Supercapacitors Work

jussi.pikkarainen@skeletontech.com (Jussi Pikkarainen) — Wed, 05 Feb 2025 12:06:06 GMT

Everyone knows what batteries are and how they’re used, even if most people don’t fully understand the underlying principles or the specifics of different battery chemistries and technologies.

Supercapacitors 101: Introduction to Supercapacitors

jussi.pikkarainen@skeletontech.com (Jussi Pikkarainen) — Wed, 29 Jan 2025 08:56:29 GMT

Supercapacitors are energy storage devices meant for applications that require high power, long lifetime, reliability, fast charge and discharge, and safety.