Sixtytwo CLI: `sixtytwo rent` reserves reliability-backed GPUs; `sixtytwo` qualifies, monitors, and NCCL-benchmarks your own GPU clusters, with Slurm/SkyPilot integration.
Project description
Sixtytwo Platform Backend
Backend for the Sixtytwo rent platform.
It includes:
- CLI-first agent workflows: qualification, monitoring, trust registry
- Recovery orchestration and job optimization
- Rent-layer commerce surface (catalog / quote / reserve / checkout / settle / credits)
- FastAPI app that serves the rent storefront (static HTML in
../frontend-rent/) - Per-minute meter loop + Stripe billing + Google OAuth
- Prometheus
/metricsexporter for Grafana
Install
cd backend
python3 -m venv .venv
source .venv/bin/activate
pip install -e .
Or point the CLI at an explicit config:
sixtytwo --config /path/to/sixtytwo.yaml init --cluster prod
Main commands
sixtytwo init --cluster prod
sixtytwo setup --provider runpod --cluster prod-runpod --checkpoint-dir /workspace/checkpoints
sixtytwo doctor --json
sixtytwo test --quick --all
sixtytwo test --full gpu-01,gpu-02
sixtytwo console
sixtytwo launch --pre-check --recovery confirm python train.py
sixtytwo nodes
sixtytwo optimize train.sh
sixtytwo dashboard start # boots uvicorn against the FastAPI app
Grafana visualization
sixtytwo metrics serve exposes a Prometheus-format /metrics endpoint backed
by the local TrustRegistry. This is what teams use to chart sixtytwo's
intelligence-layer signals (trust scores, fault counters, recovery downtime,
per-check status, fleet adverse rate) alongside DCGM in Grafana — without
sixtytwo having its own UI.
sixtytwo metrics serve --host 0.0.0.0 --port 9620
Exposed metric families:
| metric | type | labels | what it answers |
|---|---|---|---|
sixtytwo_node_trust_score |
gauge | node_id, gpu_type, provider, status | which nodes you should trust |
sixtytwo_node_faults_total |
counter | node_id, gpu_type, provider | which nodes accumulate faults |
sixtytwo_node_status |
gauge | node_id, status | lifecycle state (always 1) |
sixtytwo_check_status |
gauge | node_id, check, stage | latest qualification result (1/0.5/0/-1) |
sixtytwo_check_metric |
gauge | node_id, check, metric | numeric metrics from each check (TFLOPS, step_ms, ...) |
sixtytwo_fleet_* |
gauge | — | fleet-wide totals and adverse rate |
sixtytwo_recovery_events_total |
counter | status | recovery outcomes |
sixtytwo_recovery_downtime_seconds_* |
counter | — | total/sample-count of recovery downtime |
Wire it into Prometheus:
scrape_configs:
- job_name: sixtytwo
static_configs:
- targets: ["sixtytwo-host:9620"]
Then import the curated Grafana dashboard:
sixtytwo metrics export-grafana --output sixtytwo-overview.json
# Grafana → Dashboards → Import → upload sixtytwo-overview.json
The dashboard correlates sixtytwo trust scores with DCGM XID counters when both data sources are present, so you can see at a glance whether a trust-score drop is being driven by hardware events.
Deployment notes
recovery.live_execute = falseby default, so recovery plans are fully logged before you enable real scheduler actions.SIXTYTWO_CONFIGlets you run the CLI and platform from a fixed config path outside the working directory.SIXTYTWO_HOSTandSIXTYTWO_PORTcontrol uvicorn bind addresses in production.SIXTYTWO_FRONTEND_RENT_DIRoverrides where the rent storefront static files live (used by the container image since site-packages installs break the source-relative lookup).sixtytwo setupwrites a provider profile and a bootstrap script under.sixtytwo/bootstrap/.sixtytwo doctor --all-nodesvalidates SSH reachability,nvidia-smi,dcgmi, topology capture, and checkpoint path access before the first live run.
Provider-ready flow
For a real GPU box such as RunPod, Lambda, Vast, or a colocated Ubuntu node:
sixtytwo setup \
--provider runpod \
--cluster runpod-prod \
--checkpoint-dir /workspace/checkpoints
bash .sixtytwo/bootstrap/install-sixtytwo.sh
sixtytwo doctor --json
sixtytwo test --quick --all
For a small SSH-managed cluster:
sixtytwo setup \
--provider ssh-cluster \
--cluster prod-h100 \
--nodes gpu-01,gpu-02,gpu-03 \
--checkpoint-dir /mnt/checkpoints \
--ssh-user ubuntu \
--ssh-key-path ~/.ssh/id_ed25519
sixtytwo doctor --all-nodes
sixtytwo test --full --all
For topology-aware replacement, add rack / switch / rail metadata and a
standby pool to sixtytwo.yaml; recovery will prefer the standby that best
preserves the failed node's communication shape:
recovery:
standby_pool: [gpu-14-99, gpu-15-99]
topology:
racks:
rack-14:
switch: tor-14
power: [pdu-14a, pdu-14b]
cooling: cdu-7
nodes: [gpu-14-*]
rails:
rail-0: [gpu-14-01:gpu0, gpu-14-99:gpu0]
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