Private Fuel RPC Endpoints on a Dedicated Node

A Fuel RPC node is a Fuel full node that serves your app through GraphQL, not the usual JSON-RPC pattern most EVM teams expect. In practice, that means your app can query balances, blocks, and transactions, then also simulate and submit transactions through the same Fuel GraphQL interface. Fuel full nodes also re-execute blocks locally for verification, so this is not just a thin gateway layer.

Choose a dedicated Fuel RPC node when your app can no longer tolerate shared limits, noisy traffic, or best-effort access. Fuel's own docs say public endpoints are provided on a best-effort basis and recommend provider accounts for commercial projects that need stronger support and rate limits. Our model gives you single-tenant hardware, private endpoint control, NVMe-backed storage, and direct recovery access, so your Fuel RPC stays tied to your workload, not someone else's traffic.

Not in the staking sense. Fuel is a parallel-execution rollup that settles to Ethereum and currently runs a centralized sequencer, so there is no permissionless, stake-to-earn validator like Ethereum or Solana. What we provision is what apps and indexers actually need: a fast, dedicated full or archive RPC node running fuel-core, serving the Fuel GraphQL endpoint.

Yes. For Ignition mainnet, Fuel's node operator docs ask for an Ethereum RPC endpoint during setup, and the reference fuel-core command includes the relayer flag with that Ethereum endpoint. In plain terms, your mainnet node is not only serving Fuel traffic. It also needs a healthy Ethereum side path for relayer duties. You can bring your own Ethereum endpoint or host it with us in the same region for tighter latency, and we treat that dependency as part of the design from day one.

Most teams should start with a standard full node. That is usually enough for live app reads, transaction flows, wallet backends, and normal production traffic. Move toward a history-heavy build only if you need deep historical reads, long-range analytics, heavy replay work, or repeated backfills. We treat that as a sizing and architecture decision, not a box-checking exercise, and can shape the storage and node layout around history depth instead of overspending from day one.

Start with the workload, not the cheapest plan. If your node mainly serves app reads and transaction submission, we usually suggest a production baseline around fast NVMe, solid RAM headroom, and enough CPU to avoid tail-latency spikes under bursts. Our general dedicated RPC guidance points to NVMe IOPS, RAM cache, and network peering as the main pressure points. For many production deployments, that means starting above a test setup and leaving room for growth instead of resizing too late.

For production, we usually recommend more than one node. A single node can work for early stages or internal use, but serious apps benefit from redundancy, failover, and clean maintenance windows. Our dedicated RPC guidance recommends patterns like active and standby pairs, read and write separation, or multi-region routing behind a load balancer. If you are building a Premium Fuel dedicated node cluster, that second node is often the step that turns a working setup into a safer production setup.

We recommend treating the endpoint as a security boundary. Keep it private where possible, place a reverse proxy or gateway in front if needed, then add firewall rules, IP allowlisting, and request controls that match your traffic model. Our dedicated RPC platform supports private endpoints with firewall rules and IP allowlisting, and our dedicated server platform includes DDoS protection plus KVM, root, and IPMI access if recovery is needed.

No. Unlike shared RPC providers that bill per "compute unit" and throttle you past a quota, a dedicated node is a flat monthly price with unlimited requests and zero overages. One node equals all the throughput your hardware can serve. That makes budgeting predictable and removes the surprise bills that come with usage-based RPC pricing.

Shared RPC pools serve thousands of customers from pooled infrastructure, so you inherit rate limits, noisy-neighbor latency, and compute-unit billing. A RedSwitches node runs on single-tenant bare metal that is yours alone: reserved CPU, RAM, and NVMe, a dedicated 10/25 Gbps port, and a private endpoint you control. Performance tracks your hardware, not another tenant's traffic.

No. We provision from current snapshots so your node is live in hours rather than syncing from genesis for days. You can run it yourself with full root access, or choose our fully managed option where our engineers handle the sync, updates, and monitoring. Either way you receive a working private endpoint, not an empty server.

Yes. With 20+ Tier III locations across the US, EU, Asia, and Australia you can place your node in the same region as your users or a chain's sequencer to cut round-trip latency. Tell us your target region and we will recommend the closest facility. You can also run multi-region nodes for redundancy and split read and write endpoints.