Compute at Global Scale

Route batch AI workloads to verified underused GPUs from schools, labs, and companies worldwide. Security first, transparent pricing, carbon aware.

Starting with verified schools, labs, and companies

Cost Efficiency

Price per GPU Hour (H100 equivalent)
Coranor Recommended $0.35/hr
95% LESS
Major Cloud Providers $3.80/hr
Save up to $3.45/hr per GPU

How it works

Three steps from idle GPUs to running workloads

provider-node — -zsh
$ coranor-cli start-node --gpu=h100
✓ System Check Passed
✓ Secure Enclave Verified
Connecting to mesh network...
> Node ID: node_8f2k9x01
> Status: Online (Idle)
Waiting for jobs...
1

Supply

Verified organizations connect their underused GPUs to the network. Schools, labs, and companies share compute when not in use.

2

Verify

Every provider goes through verification. We prioritize trust, security, and reliable operations over raw capacity.

Identity Verified

Tier 1 Provider

submit_job.py
import coranor

# Submit a batch job
job = coranor.submit(
image="sdxl-inference:v1",
gpu_type="h100",
priority="high"
)

print(f"Job {job.id} running on verified node")
3

Run Jobs

Submit batch AI workloads. We route them to verified nodes with workload isolation, signed jobs, and auditable logs.

Security First

Built for trust

We start with verified organizations because trust matters. Every aspect of Coranor is designed with security at the core.

  • Verified organizations first
  • Workload isolation
  • Signed jobs and auditable logs
  • Abuse prevention and rate limits
  • Secure node onboarding

Ready to get started?

Whether you need compute or have GPUs to share, we'd love to hear from you. We read everything.