Private Sonic RPC Endpoints on a Dedicated Node

A dedicated Sonic RPC node is a Sonic node that runs on single-tenant infrastructure reserved for your workload. You do not share CPU, RAM, storage, or network capacity with unrelated users, which gives your app more control, steadier performance, and a cleaner path for scaling private or public RPC traffic.

Public Sonic RPC endpoints work well for testing and light use. A dedicated setup gives you reserved resources, tighter access control, custom server sizing, and more predictable behavior under production traffic. That matters when your app depends on stable reads, WebSocket sessions, and controlled transaction broadcasting.

Choose a standard full node if you mainly need current-state reads, contract calls, and transaction submission. Choose archive when you need full historical state, deep log scans, explorer-style lookups, replay work, or analytics. Sonic's docs state that archive nodes handle historical data requests, while validator nodes focus on real-time operations rather than general API requests.

The best fits are wallets, exchanges, trading systems, partner APIs, event-driven apps, explorers, indexers, and analytics pipelines. If public endpoints feel fine until traffic spikes, a dedicated Sonic RPC node is usually the next step. It gives you private capacity for heavier reads, longer backfills, and more consistent production behavior.

A dedicated Sonic node removes shared-resource contention and gives you more control over subscription traffic, polling traffic, and write traffic. Sonic also recommends putting public RPC behind a proxy such as HAProxy or Nginx to moderate request volume and reduce dropped subscriptions, timeout spikes, and unstable bursts.

Sonic is fully EVM-compatible, so a dedicated Sonic RPC node supports the standard Ethereum-style JSON-RPC flow most apps already use for reads, contract calls, logs, receipts, and transaction submission. Sonic also publishes an official WebSocket endpoint, though exact API exposure can vary by client version and node configuration.

Yes, and that is often the better production design. You can keep read traffic on one endpoint while restricting transaction broadcasts behind private routing, auth rules, or IP allowlists. Sonic's node guidance supports moderated public RPC access, which fits this split-endpoint model well for safer operations.

For Sonic, storage latency and RAM headroom matter a lot. A practical private RPC baseline is 8+ modern cores, 64 GB RAM, and local NVMe. For archive-heavy or busier production workloads, plan around 128 GB RAM or more. Sonic explicitly recommends local NVMe or local SSD and warns that remote block storage, such as EBS, does not provide the required latency and IOPS performance.

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.