KilawattCloud

A few months ago I kept watching the same failure pattern: an AI team's training run would stall mid-job because their one GPU provider ran out of stock. No fallback, just a dead task and wasted money. That's the problem Kilawatt Cloud actually started as, routing compute across multiple providers so one outage doesn't kill your job.

But building the failover logic made me notice something bigger. Every cloud platform today, including ours at first, assumes a human is the one deciding to spend money. Log in, pick an instance, click confirm. That assumption is already starting to crack. AI agents are beginning to provision their own compute mid-task, with no person clicking anything.

When that happens, something still has to sit in the middle. Verify there's balance. Pick the right provider in real time. Route around failures. Settle the payment. All of it invisible, machine to machine. Basically a toll booth for compute.

I didn't build that part speculatively. It's already running. Every job on Kilawatt checks wallet balance and pre-authorizes cost before it starts, the same mechanic a machine-to-machine toll booth would need. We route across four GPU providers with real automatic failover, tested live, not just diagrammed. And the control layer is MCP-native, published on npm and the official MCP registry, so an agent can already provision compute directly, no dashboard required.

I don't know exactly when machine-to-machine billing becomes normal. Could be later than I think. But the toll booth mechanics don't cost anything extra to have ready early, and if that world does arrive, I'd rather already be standing there than scrambling to bolt it on after everyone else has moved.

Launching on Product Hunt tomorrow, September 9th. Built solo, every number tested before it's claimed.

Communities across the country are pushing back hard on new data center construction, real grid strain, real water concerns, political fights strong enough to flip elections in the last year.

That fight is about who gets to build new physical facilities. Kilawatt Cloud doesn’t build data centers, we route compute across providers who already have infrastructure, RunPod, Vast.ai, Lambda, Hyperstack, choosing whichever has real capacity and the best price right now.

We’re not fighting county boards for permits or explaining diesel generators to a city council. Not because we’re clever, just because we don’t need to own the dirt under the servers.

As physical expansion keeps getting harder, models that don’t require new land, water, or grid capacity get more resilient by comparison. Curious if others building in this space have been thinking about this too.

kilawattcloud.dev

published Kilawatt Cloud, a GPU orchestration platform that routes AI/ML workloads across RunPod, Vast.ai, Lambda, and Hyperstack with automatic failover, so a training run doesn’t die just because one provider ran out of stock.

Self-serve, per-second billing, zero egress fees. Built this from a two-bedroom apartment after watching too many builders lose runs to GPU stockouts.

Live now at kilawattcloud.dev. Would genuinely love feedback from anyone here who’s hit this exact problem.`