Dedicated RPC Node Servers

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.

Bare Metal Server

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.

Dedicated RPC Nodes for 25+ Blockchains

Select a network category to view supported RPC nodes

Ethereum RPC

EVM • Full & ArchiveView pricing →

Polygon PoS RPC

EVM • ScalableView pricing →

Polygon zkEVM RPC

ZK • Layer 2View pricing →

Arbitrum RPC

Layer 2 • RollupView pricing →

Optimism RPC

Layer 2 • RollupView pricing →

Base RPC

Layer 2 • EVMView pricing →

BNB Chain RPC

EVM • High ThroughputView pricing →

Fantom RPC

EVM • Fast FinalityView pricing →

Avalanche RPC

EVM • SubnetsView pricing →

Linea RPC

ZK • EVMView pricing →

Scroll RPC

ZK • EVMView pricing →

zkSync Era RPC

ZK • RollupView pricing →

Starknet RPC

ZK • CairoView pricing →

Solana RPC

High TPS • ValidatorView pricing →

Aptos RPC

Move • High TPSView pricing →

Sui RPC

Move • Parallel ExecView pricing →

Near RPC

Sharded • High TPSView pricing →

Algorand RPC

Pure PoSView pricing →

Tezos RPC

Liquid PoSView pricing →

Cardano RPC

Ouroboros • PoSView pricing →

Hedera RPC

DAG • EnterpriseView pricing →

TON RPC

High ThroughputView pricing →

Bitcoin RPC

UTXO • Full NodeView pricing →

Ripple RPC

XRPL • PaymentsView pricing →

Cosmos RPC

IBC • ModularView pricing →

Polkadot RPC

Substrate • RelayView pricing →

Kusama RPC

Substrate • CanaryView pricing →

Dedicated RPC Node Server Specifications

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.

Component
Production baseline (typical ranges)
Why it matters for RPC
CPU
EVM/L2: 8+ high-clock cores (16+ for archive/trace)
Solana-class RPC: 2432+ cores
UTXO: 2–4 cores
Faster sync, lower tail latency, fewer timeouts on heavy calls.
RAM
EVM/L2: 32–64 GB (64–128 GB for archive)
Solana-class RPC: 512 GB+ when indexing is enabled
UTXO: 8–16 GB
More cache. Fewer disk hits. Steadier WebSockets.
Storage
NVMe for production.
EVM/L2 full: 2–4 TB NVMe
EVM/L2 archive: 4 TB to 14 TB+ (chain/client dependent)
Solana-class: separate NVMe devices for hot databases
UTXO: ~1 TB SSD for full history
Prevents state DB stalls and “node fell behind” incidents.
Uplink
1 Gbps+ for production
10 Gbps for high-throughput chains
RedSwitches: 10 or 25 Gbps options
Better peering. Faster catch-up after restarts.
Bandwidth
Metered or unmetered
Unmetered fits heavy sync, backfills, and high-RPS reads
Avoids overages during bursts and events.

Why Choose RedSwitches for Dedicated RPC Nodes?

🧱

Single-Tenant Bare Metal

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.

🔌

HTTP + WebSocket Access

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.

🧩

Required Client Installed

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.

🗃️

Full, Archive, Indexed Builds

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.

NVMe + SSD Storage Options

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.

🧠

Up to 128 CPU Cores

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.

🧬

DDR4/DDR5 RAM Upgrades

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.

🚀

10Gbps / 25Gbps Network Uplinks

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.

📶

Metered or Unmetered Bandwidth

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.

🌍

20+ Global Tier III Data Centers

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.

🧰

KVM, Root, IPMI Access

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.

🛡️

DDoS Protection Included

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.

📈

99.99% Uptime SLA

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.

💳

Crypto + 20+ Payments

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.

🧑‍🔧

Managed or Unmanaged Choice

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.

Benefits of Dedicated RPC Node Servers

🎯

Stable User Experience

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.

📉

Predictable Cost Planning

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.

🔁

Clean Failover Architecture

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.

🧯

Faster Outage Recovery

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.

🧪

Safer Planned Maintenance

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.

🔐

Tighter Access Control

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.

🧩

Less Provider Lock-In

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.

🧭

Clear Workload Separation

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.

📈

Upgrade Without Replatforming

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.

🌐

Lower Latency Variance

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.

RedSwitches Dedicated RPC Nodes Vs Others

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

1000+

active RPC nodes

99.99%

average uptime across all Nodes

5 min

average support response time

100%

customer retention rate

hosting advice logo

4.8

4.7

4.9

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4.9

FAQs

What is a Dedicated RPC Node, and how is it different from a shared rpc node?

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.

When should I move from public RPC or “node as a service” plans to a dedicated node?

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.

Do you support HTTPS and WebSocket (WSS) endpoints for production workloads?

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.

Which node type do I need: full node, archive node, indexed, or pruned?

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.

Can I use debug/trace methods (like debug_traceTransaction) on a dedicated setup?

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.

What uptime and reliability should I expect, and what does 99.99% uptime SLA cover?

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.

How do you protect Dedicated RPC Node servers from DDoS and request flooding?

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.

Can I keep my endpoint private and enforce IP allowlisting for access?

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.

Do you offer managed vs unmanaged dedicated nodes, and what does each include?

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.

Do I get root access, KVM, and IPMI for troubleshooting and recovery?

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.

How do you handle traffic bursts during launches, mints, or market volatility?

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.

What is the recommended setup for redundancy and failover with dedicated nodes?

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.

How do I estimate the dedicated RPC node price based on traffic and node type?

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.

How fast can you deploy, and how does sync time affect the go-live timeline?

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.

Which regions and data centers can I deploy in for low latency globally?

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.

Get in touch today!

Get in touch today!