The grid changes every hour.
Your compute doesn’t have to ignore it.
Linyx continuously reads electricity markets and turns those price differences into actionable routing data for AI workloads.
When power gets expensive in one region, cheaper capacity elsewhere becomes an opportunity.
Real-time energy intelligence for AI infrastructure.
AI compute has an energy problem.
The same H100 can cost dramatically more to run depending on which grid powers it.
Linyx turns that difference into data you can act on.
20 live markets.
Real hourly prices.
Fleet-level modeling.
Workloads that can move.
Your compute is flexible. Your electricity bill should be too.
Why Linyx?
Because AI compute shouldn’t be locked to whatever electricity price its datacenter happens to pay.
Linyx connects compute to live energy markets.
20 regions.
Live wholesale pricing.
Fleet-level cost modeling.
Workload routing.
On-chain settlement.
The hardware stays the same.
Linyx makes where you run it part of the optimization.
What if your AI fleet could react to the energy market?
Linyx is built around that idea.
It continuously compares electricity prices across 20 regions and gives workloads a way to target cheaper power when they’re able to move.
Infrastructure stays the same.
The placement gets smarter.
Compute should follow opportunity — including in the grid.
Most compute infrastructure optimizes for performance.
Linyx adds another variable:
the price of power.
Track live markets.
Compare regions.
Model your fleet.
Identify movable workloads.
Route compute toward cheaper electricity.
Linyx turns energy prices into a compute decision.
Linyx core features:
• Live pricing across 20 electricity markets
• Fleet cost modeling based on real hardware
• Workload routing to cheaper grids
• Relocatable-share controls for flexible compute
• On-chain price oracles
• Bonded capacity with ETH escrow
• Open work market for proof-based bounties
One protocol connecting AI compute with the real-time energy market.
Electricity is a variable cost.
AI workloads don’t have to treat it like a fixed one.
Linyx tracks wholesale power across 20 regions, finds the cheapest available markets, and identifies which workloads can be routed there.
The goal is simple:
use the same compute
pay less for the energy
Power-aware compute starts with Linyx.
AI compute doesn’t have to stay tied to one electricity market.
Linyx watches 20 grid regions and compares live wholesale prices to find where power is cheapest.
If a workload can move, the compute can move with it.
Same hardware.
Same workload.
Different grid.
The difference can be the difference between an expensive fleet and an efficient one.
Earn.
Open the Work tab. Every row marked Open is a funded bounty — the button tells you exactly what it pays.
Hit Solve. Your browser searches for the answer (about a second), MetaMask pops, you confirm. The contract checks your work and pays your wallet on the spot.
How to use Linyx:
→ Open the Linyx console
→ Enter your accelerator, fleet size, utilisation and PUE
→ Choose your home region
→ Set how much of your workload can move
→ Compare your current power cost against 20 live markets
→ See where your fleet could run cheaper
Linyx shows the potential savings before you route the work.
Price the fleet. Find the cheapest power. Route what can move.
How Linyx works:
Linyx reads live wholesale electricity prices across 20 grid regions.
Your AI fleet is priced against each market in real time.
Workloads with a relocatable share can be routed toward cheaper power.
The savings are settled on-chain in ETH, with sites bonded and capacity escrowed.
Instead of moving power, Linyx moves the workload.
Cheaper grid → cheaper compute.
Lynix is live.
CA: 0x5d3cdc77bb3e73909a784dd343bf6cfa868719ba
The same MWh of power clears at $18 in S. Australia and $144 in Norway. Right now. Same commodity, 8x the price.
Power can't move. Compute can.
Linyx routes AI fleets to the cheapest grid on Earth — 20 live wholesale markets, settled on-chain.
https://t.co/efaJUKbotH