Turn your idle GPU into income.
Scalattice puts the GPU you already own to work on paid inference jobs. Install one command, keep the majority of every completed job.
- Majority revenue share
- $0 to connect
- Pause anytime
Agent
One command per machine.
Add a GPU on Scalattice Cloud, install the agent with your machine token, and manage everything from the dashboard. Agent source is on GitHub for transparency.
# 1. Add a GPU at scalattice.cloud/providers
# 2. Install on your GPU machine (token required)
curl -fsSL https://scalattice.cloud/install/agent \\
| sh -s -- --token slt_provider_…
scalattice-agent status
# → Scalattice Cloud: connected
Estimate
What could your GPU earn?
We support any device.
Adjust the calculator to fit your earning & specs.
Rates and VRAM requirements are live from the Scalattice catalog. Estimates use published output-token rates and the majority of developer token spend on completed jobs, modelled at Q4 quantisation with throughput scaled by model size. Selected models must fit at least one GPU class you set. Actual earnings vary with live demand, model mix, GPU throughput, quantisation, batching, and uptime, and are not guaranteed. Figures are illustrative only.
Onboarding
Three steps to your first payout.
Sign in, add each GPU on Scalattice Cloud, install the agent with its machine token, and manage capacity from the dashboard.
Register
Sign in at Scalattice Cloud, open Providers, register, and add a GPU to get a machine token.
Install
Run the install command on a Windows or Linux machine with --token Check the open source agent
Earn
Enable models, set your schedule, and track payouts on Scalattice Cloud.
# Token from scalattice.cloud/providers
curl -fsSL https://scalattice.cloud/install/agent \\
| sh -s -- --token slt_provider_…
# Or set the token later:
scalattice-agent set-token --token slt_provider_…
scalattice-agent status
Hardware
Built for real machines.
Consumer and datacenter GPUs on Windows and Linux. NVIDIA recommended for the smoothest setup.
CUDA-ready
From RTX workstations to rack-scale datacenter GPUs. Turn the CUDA hardware you already own into earning capacity.
Control your earning
Choose when each machine is available, or pause earning when you need it back.
GPU and driver licence compliance is your responsibility - Terms of service
Safety
Inference-only jobs.
Customer workloads are inference-only. You control when each machine earns, and can pause from the dashboard.
Platform
Inference hosting on the Scalattice network.
Connect your GPU once. Inference jobs find your hardware when you're available - you keep the majority of developer spend.