Access · Freedom · Ownership

Own your AI.

Access was never the hard part. Freedom is. Every Renewable Revolt workstation — except our three entry models — can grow into a private AI host that runs on your desk, answers only to you, and never sends your data anywhere.

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Rethinking Access

Access isn’t the problem you think it is.

There’s a common assumption that “access to technology” means giving devices to students and the less fortunate. But look closer. In the United States, those groups already have devices. There are free phones for low-income households. There are school Chromebooks for nearly every student.

The device isn’t missing. Something else is.

What’s missing — and what a lot of people lack regardless of their income — is the freedom to use the device the way they want. The free phone runs the same data-harvesting software as everyone else’s. The school Chromebook adds a second cage on top: it decides which sites and which content you’re allowed to reach.

Access without freedom isn’t access. It’s a leash with a longer cord.
The Trade You Didn’t Agree To

You bought it. You don’t own it.

Spend $1,200 on an off-the-shelf gaming PC. Spend far more on a Mac Studio. Either way, the machine you “own” is working a second job you didn’t authorize:

The free phone does it. The Chromebook does it, and restricts you on top. The premium machine does it with a nicer logo.

You’re not the owner. You’re the product, the renter, and the next upgrade cycle’s customer — all at once.

The Renewable Revolt Difference

Repairable. Upgradeable. Yours.

We build from recovered enterprise hardware and run it on lean software. That combination isn’t a compromise — it’s the whole point. Recovered hardware is built to be serviced. Lean software stays out of your way. Together they make a machine that you can open, fix, upgrade, and actually own.

Our software image, RR Turbo, strips out the mandatory, always-on AI and telemetry that modern systems force on you. Removing that bloat does two things at once: it stops the machine from watching you, and it frees up enough headroom that older, recovered hardware runs beautifully — the same hardware the throwaway economy wrote off.

We’re not chasing “best.” “Best” is a marketing treadmill. We build for capability matched to your use case, with access and freedom as the non-negotiables. A machine that does what you need, that you control completely, beats a faster machine that controls you.

AI On Your Terms

You don’t need a frontier model. You need a good one that’s yours.

The AI industry wants you to believe you need the biggest, newest model in someone else’s data center. For most real use, you don’t.

What you need is a good model that:

A private local model handles the everyday work — drafting, summarizing, answering questions, searching your own documents — without a subscription and without a connection to anyone else’s cloud. It’s not about having the most powerful AI. It’s about having AI that’s yours, permanently, on your terms.

Why It Actually Works

Big-model smarts. Small-machine speed.

It’s a fair question: can a recovered workstation really run AI that’s any good? A few years ago, not really. Today, yes — because the best open models stopped trying to get smarter by getting bigger, and started getting smarter about what they switch on.

Modern open models use a design called mixture-of-experts. Picture a large, well-read model that, for every word it writes, wakes only the small part of itself that’s actually relevant and leaves the rest asleep. You get the knowledge and judgment of a big model at the speed and memory footprint of a small one.

That is the trick that makes private, local AI practical on recovered hardware. A single dedicated 16 GB card holds the whole model, and because only a sliver of it runs at any instant, it answers quickly — on a machine the throwaway economy already wrote off. Not a stripped-down toy. A genuinely capable assistant that happens to live on your desk.

A model that’s mostly asleep is a model that runs anywhere — including the machine you already own.
How It Works

Add a brain. Keep your machine.

Local AI needs dedicated memory and compute. Rather than make you buy a whole new machine, we let you add a second card built for exactly this: a recovered datacenter AI accelerator, given a second life and dropped in alongside your existing graphics card.

Your main card keeps driving your displays and doing your creative work. The compute card sits beside it with its own pool of high-speed memory and hosts your private AI. One machine, two specialized cards, one private model that belongs to you.

These accelerators are themselves recovered enterprise hardware — the same Recover, Revive, Redeploy story as the rest of our builds. The AI brain in your workstation used to live in a server rack. We brought it back.

The card matches your build’s graphics vendor, so the two share one clean driver path — and either way you get a full 16 GB of dedicated high-speed memory for the model, on top of your gaming card’s own VRAM:

Your build’s graphicsAI compute cardDedicated AI memoryTotal usable VRAM
AMD Radeon (8 GB or larger)Radeon Pro WX910016 GB HBM2up to 24 GB
NVIDIA GeForce / RTX (8 GB or larger)Tesla P10016 GB HBM2up to 24 GB

AI Integration: $350 — or $250 on builds that already ship the heavier power supply (Dreadnought, Banshee Workstation, Ironclad).  The $100 difference is just the power supply, passed straight through — if your machine is already provisioned for it, you don’t pay for it twice.  One flagship model, one 16 GB card, both vendor paths the same price.

One honest nuance. On our AMD builds, the Radeon Pro WX9100 pulls double duty — it hosts your AI and genuinely accelerates GPU creative work in DaVinci Resolve and Blender. On NVIDIA builds, the Tesla P100 is focused on AI — expect marginal editing gains at most. Same price either way; we won’t pretend a card speeds up your edit when it doesn’t.

Where You Can Add It

Available across the line.

We designed AI Integration into every build with an 8 GB or larger graphics card. If your build qualifies, you can add private AI now or later — your choice, your timeline.

X79 Nightmare
DDR3 quad-channel gaming line
The Forge
X79 ECC workstation line
X99 Fleet
DDR4 quad-channel workstation line
The exceptions — the Revenant line (Raider, Relic, Rogue).

These ship 4 GB graphics cards, which can’t host the model at usable quality and speed — so we don’t offer AI Integration on them, rather than sell you something that runs poorly. They stay focused on what they do best: the lowest-cost path to a capable, private, telemetry-free machine. Start there, and step up to an 8 GB+ build when you’re ready for private AI.

Day One

Your private AI, day one.

This is everyday AI you own outright — ideal for personal, study, and small-business work. It’s not built to train frontier models or replace a data center. That’s not the point. The point is a capable, private model that’s permanently yours.

Access. Freedom. Ownership.
Pick a build.

Every machine we sell is repairable, upgradeable, and free of the software that watches you. Most of them can grow into a private AI host whenever you’re ready. That’s not a premium feature. That’s the whole idea.

Browse Upgrade-Ready Builds → See the Upgrade Matrix → Learn About RR Turbo →