I have a friend with a ~$5K PC.

• 5090 GPU
• 16-core CPU
• 64GB RAM
Absolute monster. And he mostly uses it to play OSRS.
But hey, I’m not one to judge how people spend their money.
It did make me think how much hardware around us sits idle, though. Mini PCs, edge devices, and consumer GPUs.
@nunet_global is trying to put that spare capacity to work inside infra that already exists.
Not replacing the cloud. Just using what’s already there. Here's a quick overview ↓
1️⃣ What it does
What makes this more interesting to me is that it’s not really a "rent your spare GPU" story.
It’s more about orchestration.
The point is not only finding idle hardware. It’s figuring out where a workload should run in the first place. Some jobs need to stay close to the source, while others are light enough to run locally.
The idea is to make existing hardware work like one coordinated system instead of a bunch of disconnected machines.
2️⃣ NuNet is working with AL'MA
What’s cool is that they already tested it in a live setup where Energy369 Agents, the building’s local energy-management layer, handled local energy logic while NuNet coordinated how workloads were split across on-site devices and the cloud.
In the test:
- Energy decisions were handled on-site
- AI workloads ran locally on consumer hardware, from Raspberry Pis to GPU devices
- Heavier workloads ran in the cloud
3️⃣ Broader proof
This is not only a housing use case.
NuNet is also being used by a data center partner to stress-test hardware before deployment.
4️⃣ Why it matters
To me, this isn’t about turning every home into a data center.
It’s about letting compute and energy systems run closer to where the infrastructure already exists.
In practice, that means:
- Lower latency
- More resilience
- Less dependence on centralized infra
This is real infrastructure solving a real problem, and that's what I mean when I say real-world utility.