How many SSDs are too many SSDs? For most people, the answer lies somewhere between “just enough” and “as many as I can fit.” If you’re in the latter camp, Framework has some exciting news for you. Known for its modular laptops, Framework has now unveiled the Dual M.2 Adapter — a nifty add-on that lets you jam even more storage into your laptop.
Framework, for those unfamiliar, is shaking up the tech scene with laptops built for modularity. You don’t throw away a Framework laptop when it gets old — you upgrade or swap out parts. It’s like LEGO, but for tech-savvy adults who want full control over their hardware. This philosophy makes Framework laptops a standout choice for those tired of being locked into rigid, unupgradable systems.
The latest piece of the puzzle is a simple yet powerful innovation: the Dual M.2 Adapter. It expands your laptop’s capability to house up to four SSDs — or, potentially, much more.
What Is the Dual M.2 Adapter and What Can It Do?
As the name suggests, the Dual M.2 Adapter gives you two additional M.2 slots. If you’re already squeezing two SSDs into your Framework laptop, this little module doubles your storage capacity. It’s plug-and-play, keeping in line with Framework’s promise of user-friendly upgrades.
What’s especially interesting is how versatile it is. Framework envisions the adapter being used beyond just adding storage. It supports M.2-based AI accelerators, for instance, which are becoming more common as machine learning tasks find their way into consumer workflows. The possibilities don’t stop there, though. The company jokingly (or perhaps not-so-jokingly) points out that some clever tinkerers will probably attach a PCIe adapter to this module and hook up a desktop GPU. Yes, you read that right — a GPU on a laptop, using this tiny adapter as the bridge.
But for most of us, the real headline is the storage. With four M.2 slots at your disposal, the sky is truly the limit.
Four SSDs in a Laptop: What Could You Do With 32TB of Storage?
If you’re scratching your head wondering what anyone could do with that much storage, you’re not alone. Framework’s own example uses 8TB SSD sticks, which, when multiplied across four slots, adds up to 32TB of storage. That’s enough space to house:
- An entire library of 4K movies.
- Multiple backups of your PC, gaming consoles, and phones.
- Massive software projects, including hefty AI models and video production files.
- Pretty much anything you could throw at it — and then some.
For a laptop, this kind of capacity is unheard of. Desktops have traditionally been the go-to for storage monsters, but Framework is proving that laptops can be just as formidable. And while most people don’t need that kind of capacity, those who do will find the Dual M.2 Adapter to be a game-changer.
The Price and Availability
One of the most impressive things about this expansion module is its cost. You’d expect such a clever upgrade to come with a premium price tag, but Framework is selling the Dual M.2 Adapter for just $39.
That’s it. Forty bucks, and you get two extra slots for SSDs, AI accelerators, or whatever else you can think of. Given how pricey storage upgrades can get in pre-built laptops, this affordable module feels like a steal. It also underscores Framework’s commitment to making modularity accessible to everyone.
Why Framework’s Modular Approach Matters
Framework’s modular approach isn’t just about giving people cool hardware upgrades — it’s about changing how we think about laptops. In a world where most laptops are designed to be disposable after a few years, Framework is doing the opposite. Need more storage? Add an adapter. Want better performance? Swap the motherboard.
The Dual M.2 Adapter might seem like a small addition, but it highlights the power of modular design. Users can customize their machines to match their needs, whether that’s more storage, more performance, or more flexibility for experimental setups.
For tinkerers, tech enthusiasts, and even professionals with big storage needs, this device feels like an open invitation to push their laptops to the limit.
