Running an XRPL Node or Validator: What It Takes and Why It Matters

Most blockchain developers interact with public RPC endpoints. Operators who run their own XRPL nodes get lower latency, better reliability, and direct participation in the network that underlies their business.

Every XRPL application talks to the ledger through an RPC endpoint. In development, that is a public node. In production, relying on public nodes introduces latency variability, rate limiting, and single points of failure outside your control. Serious XRPL operators run their own nodes.

There are two categories of XRPL node: stock nodes (full participants in the network, not validators) and validators (full participants who also propose and vote on transactions). For most operators, a stock node is sufficient. Validators are for entities who want direct participation in network consensus and governance.

Stock Node Requirements

A production XRPL stock node requires more resources than most blockchain nodes because the full ledger history is large and growing. Minimum recommended specifications for a node with complete history: 8 core CPU, 32GB RAM, 4TB+ NVMe SSD storage. The full ledger history as of early 2026 is approximately 2.5TB and growing at roughly 200GB per year.

Operators who do not need full history can run a node with "online deletion" configured — keeping only the most recent N ledgers (typically 3,000–50,000) and deleting older data. This reduces storage requirements to under 100GB but means the node cannot serve historical queries beyond its retention window.

Running rippled

The XRPL reference implementation is called rippled. It is open source (ISC license) and available on GitHub. Installation on Ubuntu via apt repository is the simplest path. The configuration file (rippled.cfg) specifies: the server section (peer port, admin RPC port, public RPC port), the node database and shard database paths, the validator list URLs (for UNL configuration), and the network ledger entry limits.

Initial sync takes 2–7 days depending on bandwidth and hardware. The node downloads ledger history from peers in parallel. Monitor sync progress via the server_info RPC command, which reports the number of complete ledgers held.

Becoming a Validator

Validators participate in the consensus process: they broadcast their opinion on which transactions to include in each ledger close. They do not mine, stake, or receive rewards — validator operation is a service contribution to the network.

To run a validator: generate a validator keypair using the validation_create command, add the validator public key to your rippled.cfg, and publish a validator list file so others can include you in their UNL. Getting onto the default UNL (the trusted validator list distributed with the rippled software) requires demonstrated uptime and community vetting — typically 6–12 months of reliable operation and a public identity.

Cloud vs Bare Metal

XRPL nodes run reliably on cloud infrastructure (AWS, GCP, Azure) with the appropriate instance types. For a stock node with online deletion: an AWS c6i.2xlarge (8 vCPU, 16GB RAM) with a 200GB GP3 NVMe volume covers the compute requirement at approximately $200/month. Full history nodes require dedicated hardware or high-performance cloud instances due to the storage I/O requirements.

Geographic distribution matters for production reliability. Running two nodes in different availability zones with a load balancer provides redundancy for RPC-dependent applications.