For decades, laptop thermal design has followed a script so familiar it may as well have been etched onto the motherboard: the processor heats up, a heat pipe moves the heat, and a fan pushes it out. It has worked – not elegantly, not quietly, but well enough. Then AI showed up and politely asked laptops to behave like miniature data centres. That’s where the script starts to melt.
The industry has been conditioned to think in terms of fans. But cooling isn’t a component decision anymore – it’s a system architecture decision. Or, put less formally: you can’t fix a growing distributed heat problem using an enthusiastic little propeller.
The real story isn’t the CPU; it’s where the memory lives
In conventional laptop design, memory has been something of a polite neighbour: close enough to the CPU to be useful, but far enough away to avoid thermal drama. Cooling strategies were built around the assumption that the processor was the star of the heat show.
AI has changed all of this. Modern inference workloads require that memory sits as close as possible to the processor. The closer the memory, the faster the data moves, and the better the model performs. But memory can run hot, too. As processing and memory are packed tightly together, both generate heat, both demand performance, and they can’t take turns.
The change is that you’re not just cooling a processor anymore. You’re cooling memory, storage, and interconnects that are all tightly coupled together.
In a fan-based system, that’s like trying to cool a crowded elevator by opening the door once in a while. This is helpful but not a long-term solution.
Goodbye fan cavity, hello open floor plan
Fans have been mobile computing’s thermal security blanket for years. But they also occupy prime internal real estate and dictate how everything else must be arranged. Take the fan out, and suddenly the floor plan opens up.
Ventiva achieves this through its Zoned Cooling design approach, which replaces the mechanical fan with solid-state ionic cooling modules. Rather than broadly pushing air through the chassis regardless of where heat is actually generated, a zoned architecture directs airflow precisely to the components that need it most – CPUs, GPUs, and AI accelerators – while leaving the rest of the board undisturbed. The underlying ionic cooling technology uses electrohydrodynamic (EHD) principles to move ionized air molecules within an electric field, creating silent, vibration-free airflow with no moving parts.
The practical upshot: eliminating the fans and the associated ducting returns up to 7,200mm² of motherboard real estate to designers, freeing space that can be allocated to additional memory, larger batteries, or expanded storage, and giving OEMs genuine latitude to place more memory closer to the processor, simplify routing paths to cut board costs, and rethink how a board is laid out from the ground up.
So, instead of clustering memory in fixed locations dictated by airflow limitations, designers can now distribute memory modules around the processor, placing them where they make the most sense for performance and thermals.
Distributed cooling meets distributed memory
Once memory is no longer constrained by fan-driven airflow paths, it can be positioned more strategically, including closer to the processor for lower latency, spread across the board to avoid localised heat buildup, or stacked or layered to increase capacity without increasing footprint.
This isn’t just a layout tweak; it requires a fundamental change in how laptops are architected. With a Zoned Cooling design, cooling follows the workload. Instead of pulling heat away from a single hotspot, airflow is guided across multiple thermal zones (e.g., CPU, memory, storage) like a carefully choreographed breeze.
Why this matters for AI-inference PCs
Local AI inference is the driving force behind all this. Running large language models on-device requires immediate access to huge amounts of data, meaning memory placement is no longer a secondary concern. It’s central to performance.
Zoned cooling enables that changeover in a few key ways:
- Memory without compromise: designers can position memory for performance first, then cool it appropriately, rather than compromising placement to fit airflow constraints
- Thermal load balancing: by spreading both heat sources and cooling paths, the system avoids hotspots that trigger throttling
- Higher density, same footprint: with more flexible layouts, laptops can support more memory (sometimes even using a mix of generations) without overheating or overcomplicating the design
- Better economics: more space and flexibility mean OEMs can choose from a wider range of memory options, easing supply constraints and improving margins
In short, memory gets promoted from a supporting role to co-lead, and finally gets a cooling system that treats it that way.
Airflow that knows where it’s going
Traditional cooling relies on vertical airflow: pull it in here, push it out there, hope for the best in between. That approach creates dead zones where heat lingers. A Zoned Cooling architecture takes a more intentional approach: Ventiva’s ionic cooling modules draw air in from the side and exhaust it out the other side, moving it horizontally along the edges of the device in a targeted flow. Air flows across memory modules, over the SoC, and through the rest of the system in a controlled path. It’s not just about moving air; it’s about controlling where that air goes.
A new design language for OEMs
For laptop OEMs, this shift opens up new possibilities. Without a fan dictating the layout, motherboard designs become more standardised and modular. A single architecture can scale across multiple product tiers: thin-and-light, workstation, or AI-focused devices, simply by adjusting memory and component configurations.
It’s a cleaner canvas. Importantly, it’s one where memory placement becomes strategic, not a constraint.
The bigger picture: cooling as an enabler
What’s happening here isn’t just about making laptops quieter or thinner, although that’s a nice bonus. It’s about enabling a new class of system: the local inference machine. We think these could represent a significant portion of the market. When you combine compute, memory, and cooling in the right way, you can build something entirely new.
That ‘right way’ increasingly starts with memory placement and the ability to cool it effectively wherever it needs to be.
The end of ‘fan-first thinking’
We often use the term ‘fan blindness’. That’s the instinct to design around a fan simply because that’s how it’s always been done. But as AI workloads reshape computing, that instinct is starting to look outdated.
A Zoned Cooling design approach doesn’t just remove the fan; it removes the assumption that cooling must be centralised. Once that assumption is gone, everything else – especially memory placement – can fall into place.
In the AI era, performance isn’t just about how fast your processor runs. It’s about how close your memory sits, how well your system breathes, and whether your laptop can keep its cool when the workload doesn’t.
This article originally appeared in the July’26 magazine issue of Electronic Specifier Design – see ES’s Magazine Archives for more featured publications.
