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Use this page to choose the infrastructure tier for a Superform validator. The node is lightweight: it observes SuperVault PPS values, participates in OCR2 consensus, signs reports, and persists round state. It does not run an archive node, index chains, or replace your RPC provider. In production, most operator cost comes from RPC endpoints, managed Postgres, monitoring, and signing-key custody rather than the validator binary itself.

How much infrastructure do validators need?

For most approved operators, start with the recommended baseline:
  • 2 vCPU / 2 GB RAM validator host
  • static public endpoint for ragep2p on TCP 6690
  • managed PostgreSQL 15+
  • production RPC provider coverage for every assigned chain
  • KMS-backed onchain signing where supported
  • Prometheus-compatible metrics, alerts, and basic logs
The validator can run on AWS, GCP, Azure, Hetzner, OVH, or bare metal. Pick the platform you can operate reliably. A cheap VPS with weak backups, no alerting, and a rotating IP is worse than a slightly more expensive managed setup. Reference production deployment for a single validator: A reference AWS deployment maps this to one t4g.small validator host in eu-west-1, a 16 GB encrypted gp3 root disk, one Elastic IP, RDS PostgreSQL 16 on db.t4g.micro with TLS and deletion protection, an AWS KMS secp256k1 CMK for the onchain signer, AWS Managed Prometheus/Grafana, and alert routing through SNS or an on-call channel. The validator, optional snapshotd IPC sidecar, and metrics collector can run as separate containers on the same host, with localhost-only Prometheus endpoints. This baseline is enough because the node is mostly stateless outside Postgres. OCR2 round state is small and recoverable; RPC quality and network reachability matter more than raw CPU.

Sizing tiers

Minimum is not a production recommendation. Use it to evaluate the software, not to operate a live validator with meaningful stake or uptime expectations.

AWS cost estimate

Approximate AWS eu-west-1 on-demand reference pricing for the recommended baseline. These are maintainable planning numbers, not a quote. They exclude Savings Plans, Reserved Instances, taxes, support plans, and RPC provider fees. RPC fees are separate and may be the largest operating line item. Budget for reliable HTTPS and WSS endpoints on every assigned chain through Alchemy, QuickNode, or an equivalent provider. Adding a separate optional snapshot service host typically adds about $20–25/month for another small EC2 host, EIP, and extra metric ingestion. Redis or other cache costs depend on the deployment shape and whether the service is shared.

Cloud and bare-metal equivalents

Rough equivalents for the recommended tier: Hetzner, OVH, and bare-metal deployments can be cheaper than AWS. The tradeoff is operational ownership: backups, monitoring, failover, OS patching, network reliability, and key custody become your responsibility.

Optional snapshot service

Some vaults need a price provider for cross-asset PPS conversion, such as Pendle, Spectra, or staking-style vaults that report shares in a different unit than the deposit asset. When those vaults are assigned, operators may run snapshotd as either:
  • IPC sidecar: same host as the validator, communicating over a Unix socket. Lowest cost and simplest when one validator consumes it.
  • Standalone HTTP service: separate host with JWT-gated HTTPS, useful when multiple validators or services share one snapshot endpoint.
Both modes can share the same Redis-compatible cache for vault metadata, so a validator restart does not need to re-fetch every vault domain separator. If all assigned vaults are standard ERC-4626 and do not require cross-asset conversion, the validator can read directly from configured vault contracts and the snapshot service may not be needed.

Quickstart

Fast end-to-end checklist once you are approved.

Node Setup

Install the node, configure runtime files, and verify startup.

Configuration Reference

Full config.toml, chains.yaml, KMS, and OCR2 timing reference.

Monitoring

Health endpoints, priority metrics, alerts, and operating habits.