Stop relying on throttled shared endpoints. Run your own single-tenant RPC node on dedicated hardware with NVMe, DDoS protection, and a 99.99% uptime SLA. Choose managed or unmanaged.
A Dedicated RPC Node on single-tenant servers with zero setup cost, deploy-by-sync-time provisioning, and endpoints you can keep private with firewall rules and IP allowlisting.
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RPC performance is usually limited by NVMe IOPS, RAM cache, and network peering. EVM/L2 nodes are storage-led. Solana-class nodes are RAM and I/O-led. UTXO nodes are light.
Your Dedicated RPC Node runs on single-tenant dedicated hardware, not shared pools. You avoid noisy-neighbor contention on CPU caches, NVMe I/O, and memory bandwidth. This keeps your RPC node behavior consistent under load and during chain activity spikes.
Run HTTP(S) for JSON-RPC calls and WebSockets for subscriptions and live updates, based on your node client and configuration. This supports real-time event listeners, dashboards, and bots. Dedicated resources reduce stream instability when traffic surges and blocks fill quickly.
On request, we preinstall the required blockchain client and dependencies for your selected protocol and node type. You start from a clean baseline you can harden for production. This reduces setup friction while keeping full control of configs, upgrades, and operational tooling on your dedicated node.
Choose full nodes for most production reads and transaction broadcasts. Choose archive or indexed builds for deeper history, traces, and analytics workflows. This lets you match performance to query depth and avoid forcing heavy workloads through the wrong node profile.
Run hot state on NVMe for fast reads and stable sync. Add SSD capacity when you need more space for growth and retention. This design supports chains where storage I/O drives performance and helps keep response times steady under concurrency.
Scale compute for high request concurrency, heavy serialization, and burst traffic. Up to 128-core servers give you a direct capacity path without shifting plan rules. This suits teams comparing high-performance RPC node providers and needing predictable headroom.
Increase RAM as caching needs grow. More memory improves database caching, reduces disk pressure, and helps handle concurrent reads. RedSwitches supports DDR4 and DDR5 upgrades, so you can size the dedicated node to real workload demand.
Use strong uplinks for faster sync, better peering, and higher throughput under load. This matters for heavy reads, global apps, and indexers. Stable networking reduces latency spikes and keeps your Dedicated RPC Node closer to chain tip.
Choose metered bandwidth for steady usage patterns or unmetered bandwidth for heavy sync, backfills, and analytics pulls. This makes cost planning clearer and helps you align dedicated RPC node price decisions with traffic reality, not guesswork.
Deploy closer to users across the USA, UK, India , and more regions. Tier III facilities improve power and network resilience. Multi-location availability also supports redundancy planning when your RPC node becomes a production dependency.
Get KVM console access, full root control, and IPMI for out-of-band recovery. This improves troubleshooting speed during upgrades, storage expansion, and OS tuning. You keep direct control of the infrastructure layer that many Node-as-a-Service plans hide.
RPC endpoints attract abuse, scans, and traffic floods. DDoS protection helps keep services reachable during hostile events and sudden demand surges. You can add rate limits and allowlists at your edge for tighter control. This supports production uptime goals and reduces risk when you expose endpoints behind your own routing and security.
Your infrastructure is backed by a 99.99% uptime SLA at the server and network layer. This helps production teams set internal SLOs, plan redundancy, and reduce the operational risk of relying on public endpoints for critical reads and broadcasts.
Pay with 20+ payment methods and crypto when your finance team prefers on-chain settlement. This removes procurement friction for global buyers and speeds up deployment decisions. It also supports teams comparing the best RPC node providers for Web3 across regions.
Choose unmanaged when you want full control over your server and node operations. Choose managed when you want reduced operational load while staying on dedicated hardware. This flexibility fits both technical teams and new investors building long-term stacks.
Dedicated infrastructure reduces random RPC slowdowns that cause stuck loaders, failed reads, and inconsistent confirmations. Your app feels faster because your RPC node processes only your traffic. This is the practical reason teams move from shared endpoints to dedicated nodes.
Dedicated pricing maps to known server resources instead of shifting request-unit billing and surprise tier jumps. This helps forecast dedicated RPC node price using capacity, traffic patterns, and growth targets. Buyers get clearer budgets than many Node-as-a-Service models.
Dedicated endpoints make redundancy easier to design. You can run active/standby pairs, route traffic through load balancers, and keep predictable behavior across endpoints. This supports production reliability goals without depending on opaque shared routing policies or throttling rules.
When incidents hit, you control the infrastructure layer and can respond immediately. Root, KVM, and IPMI access shorten restore time during failed boots, client crashes, or disk pressure events. You avoid long support loops common with shared platforms.
Client updates, reindexing, cache tuning, and storage expansion are normal node operations. Dedicated servers make planned maintenance safer because you can stage changes, validate performance, and roll back cleanly. You avoid platform constraints that can block urgent fixes.
Dedicated nodes let you enforce your own endpoint exposure rules. You can apply firewall allowlists, private networking, VPN access, and internal logging policies that match your risk tolerance. This is valuable when RPC node access becomes a production security boundary.
Dedicated infrastructure keeps you close to standard node operations and tooling. You can move clients, configs, and observability stacks without relying on a proprietary gateway layer. This matters when you outgrow the best RPC node providers' plans and need flexibility.
You can isolate workloads on separate dedicated servers, such as production reads, transaction broadcasting, and indexer backfills. This prevents one heavy job from degrading everything. It also improves performance consistency when analytics and user-facing traffic run together.
As demand grows, you scale your dedicated node by upgrading CPU, RAM, or NVMe instead of migrating to a new pricing tier or API model. This keeps operations simpler and reduces risk when traffic grows faster than expected in production.
Deploy nodes closer to users to reduce latency swings, not just average latency. Multi-region options help apps serve global traffic with steadier p95 response times. This is a real advantage for wallets, dashboards, and services used across time zones.
| Features | RedSwitches Dedicated | Other Providers |
|---|---|---|
| SERVER INFRASTRUCTURE |
✅ Single-Tenant Bare Metal |
❌ Shared VPS / Cloud Pools |
| ACCESS CONTROL |
✅ Root, KVM & IPMI |
⚠️ Restricted / API Only |
| STORAGE PERFORMANCE |
✅ NVMe for Hot State |
❌ Standard SSD / Shared I/O |
| NETWORK UPLINKS |
10Gbps / 25Gbps High Throughput Peering |
1Gbps / Capped Speed |
| BANDWIDTH COST |
Unmetered Option Predictable Flat Rate |
Per-Request / Overages |
| SETUP FEE |
✅ Zero (Free Setup) |
❌ High Onboarding Costs |
active RPC nodes
average uptime across all Nodes
average support response time
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A Dedicated RPC Node runs on single-tenant hardware reserved for your workload. A shared rpc node pools resources across many customers, so spikes from other apps can impact your latency and error rate. With dedicated resources, your throughput is hardware-bound and predictable.
Move when your app depends on consistent reads, stable WebSocket streams, and reliable transaction broadcasting. If you see rate limits, random p95 latency spikes, or failed reads during volatility, you have outgrown typical Node as a service plans. A dedicated node removes noisy-neighbor risk.
Yes. We can provide HTTPS for standard JSON-RPC calls and WebSocket (WSS) for live subscriptions and event streams. This supports dashboards, wallets, bots, and backends that need real-time signals. Dedicated capacity keeps streams steadier when request volume climbs.
A full node fits most production reads and transaction broadcasts. An archive node fits deep historical state queries and trace-heavy workflows. An indexed build fits analytics patterns that require faster lookups. A pruned setup reduces storage but limits historical query depth. Tell us your query patterns and we’ll recommend the right fit.
Yes, when your chosen client and node mode support it. Trace methods are compute-heavy and can degrade regular reads if mixed into one endpoint. On a dedicated node, you can isolate trace workloads on a separate instance or reserve capacity so production traffic stays stable.
Our plans include a 99.99% uptime SLA at the infrastructure layer. That means stable power, network, and server availability for your Dedicated RPC Node. For application-level reliability, we recommend redundancy, monitoring, and clean maintenance windows, and we can support that with managed options.
We include DDoS protection and build the setup so you can control exposure. Most teams place a reverse proxy or gateway in front of the RPC node, add IP allowlists, and enforce request controls. Dedicated capacity helps, but protection works best with layered controls.
Yes. You can restrict access using firewall rules and IP allowlisting, so only your backend servers or trusted networks can reach the node. This is one of the biggest advantages of a dedicated node compared to public endpoints, where the attack surface is wider by default.
Yes. With unmanaged dedicated servers, you get full server control, and we focus on infrastructure availability. With managed dedicated servers, our team handles key server-level operations and support workflows. You keep full control of node configs. Either way, you stay on single-tenant hardware.
Yes. Our dedicated server plans include root access, plus KVM and IPMI. This matters when you need console access, emergency recovery, OS changes, or rapid troubleshooting during updates. It also helps DevOps teams keep incident response fast and predictable.
We size dedicated hardware for your expected peak, not just averages. If you expect bursts, we recommend extra CPU/RAM headroom, fast NVMe, and a caching layer for repeated reads. Dedicated infrastructure avoids shared throttling, so you control how your app behaves under load.
For production, use at least two nodes. Common patterns include active/standby failover, read/write separation, or multi-region endpoints behind a load balancer. This reduces downtime risk if a node needs maintenance or reindexing. Redundancy turns a single dedicated node into a production-ready system.
Start with node mode and query depth. Full nodes cost less than archive or indexed builds because storage and compute needs are lower. Next, map traffic to capacity: concurrency, WebSocket subscriptions, and heavy methods drive CPU and RAM needs. We can help you scope a realistic dedicated RPC node price once you share your request profile.
Deployment is fast, but sync time depends on chain, node type, and whether you need full history. Full nodes can be quicker to bring online than archive builds. We’ll provision according to your sync requirements so you can plan launches around real timelines, not guesses.
We support deployment across 20+ global Tier III data centers. Choose regions closer to your users to reduce latency variance and improve consistency. Many teams start with one region, then expand to multiple regions as usage grows and production reliability requirements tighten.
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