Dedicated Monad RPC Node & Monad RPC Endpoint | RedSwitches
// dedicated monad rpc node

Private Monad RPC Endpoints on a Dedicated Node

A private Monad RPC endpoint on single-tenant NVMe bare metal. Full or archive nodes serve Geth-compatible JSON-RPC over HTTP and WebSocket, with zero rate limits and no compute units.

  • Private Endpoint, Zero Rate Limits
  • No Compute Units, Unlimited Requests
  • Full & Archive Builds
  • Geth-Compatible JSON-RPC + WebSocket
  • Parallel EVM, Single-Slot Finality
  • 20+ Global Tier III Locations
deploy.shlive

$ rs deploy monad --type full --region fra

allocating single-tenant bare metal

state-syncing monad-node (monaddb / triedb)

starting monadbft consensus

serving geth-compatible json-rpc + wss

attaching DDoS shield + IP allowlist

private endpoint live · https + wss

region Frankfurt · MonadBFT · ~0.4s blocks · single-slot finality

  • UnlimitedRequests
  • ZeroRate Limits
  • 100%Isolation

Why Teams Run Monad Nodes With RedSwitches

A single-tenant node with people behind it: unlimited throughput, a named account manager, direct engineering access, and billing built for Web3 teams.

Unlimited RPS & Responses

One node, unlimited requests and responses. No compute units, no rate caps, no overage bills. A flat monthly price, run as hard as the hardware allows.

Dedicated Account Manager

A named account manager who knows your setup, not a ticket queue. One contact for provisioning, scaling, and anything urgent.

Direct Engineering Access

Talk to the engineers who run the metal. MonadBFT tuning, MonadDB (TrieDB) NVMe layout, and Geth-compatible RPC config, handled by people who run Monad nodes daily.

20+ Global Data Centers

Place your node beside your users across 20+ Tier III locations. Multi-region for redundancy, split read and write endpoints.

Pay In Crypto

Settle in crypto or fiat, MON included. Flexible billing for Web3 teams, with the same predictable flat monthly price either way.

Tailored Load Balancing

Custom load balancing, failover, and split read/write topology, designed and tuned for your traffic by our engineers.

Configure Your Monad Node

Pick a node type, tell us your workload, and an engineer sizes and quotes it. One flat monthly price, no compute units, no overages.

1 Dedicated Node = Unlimited RequestsNo Compute Units$0 Overages, Guaranteed

Monad Full Node

For dApps, wallets, bots & backend APIs

CPU
16+ cores, 4.5 GHz+ base (Ryzen 9950X / EPYC class)
RAM
32–64 GB DDR5
Storage
2 TB+ PCIe Gen4 NVMe (MonadDB/TrieDB) + NVMe OS disk
Network
10/25 Gbps port (Monad needs 100 Mbit/s+ sustained)
Stack
monad-node + MonadBFT consensus (bare metal only)
Best for
  • eth_call, eth_getLogs, receipts and writes
  • Geth-compatible JSON-RPC over HTTP and WSS
  • newHeads / logs + monadNewHeads / monadLogs streams
Included with every node
  • Unlimited RPS, no rate limits
  • HTTPS & WebSocket (WSS)
  • 99.99% uptime SLA
  • Multi-region endpoints
  • Private networking + IP allowlisting
  • 24/7 Web3 engineering support
From$199/moflat, no compute units

Final price is sized to the node specs your chain needs (full vs archive, storage, region), and typically lands 30-40% below comparable RPC providers.

Node specs above are based on the official Monad documentation.

View official Monad node docs →

Inquiring about: Monad · Full Node

Replies in ~5 minA RedSwitches Web3 engineer specs your private endpoint

No compute units, no rate limits. From $199/mo, flat.

Prefer to talk it through first? Start Live Chat

Stop Fighting For Bandwidth On Shared Monad RPC

Shared Monad RPC pools throttle you, bill you per compute unit, and seat you next to noisy neighbors. A dedicated Monad node is your own private backbone: flat-priced, uncapped, and yours alone.

CapabilityShared RPC PoolRedSwitches Dedicated
Request limitsHard rate caps and compute-unit quotas throttle your Monad calls the moment traffic spikesZero rate limits, your Monad node serves unlimited requests up to what the hardware can push
ResourcesA noisy-neighbor pool where another tenant's mint or airdrop steals the throughput you paid for100% single-tenant CPU, RAM, and NVMe, reserved for your Monad workload alone
BillingPer-compute-unit metering with surprise overage bills at the end of the monthOne flat monthly price for the whole node, $0 overages and no usage math
NetworkShared, throttled bandwidth you can neither see nor controlA dedicated 10 / 25 Gbps port, metered or unmetered, that is yours alone
PrivacyA public, pooled endpoint with a wide, shared attack surfaceA private Monad endpoint behind included DDoS protection and IP allowlisting
History & specsLimited history and fixed plans you cannot resize as you growFull Monad archive with custom RAM and disk, sized to your query depth
ControlNo server access, the provider picks the client, version, and configFull root, KVM, and IPMI, run the Monad client and tuning you choose

Monad Node Specifications

The chain IDs, clients, transports, and JSON-RPC namespaces your dedicated Monad node ships with. Built to a standard so your existing tooling connects with no changes.

Chain Parameters

Networks
Mainnet (live Nov 2025), Testnet
Chain IDs
Mainnet 143 · Testnet 10143
Native token
MON
Consensus
MonadBFT (HotStuff-derived BFT, Proof of Stake)
Finality
Single-slot, ~0.8 seconds
Block time
~0.4 seconds
Execution
Parallel EVM (Geth-compatible bytecode)
Storage engine
MonadDB (TrieDB)
Archive
Full history retained in MonadDB
Explorer
monadscan.com

Supported Clients

Node software
  • monad-node
  • MonadBFT consensus
  • MonadDB (TrieDB)

JSON-RPC Namespaces

  • eth_
  • net_
  • web3_
  • debug_
  • txpool_
  • admin_

You control which namespaces are exposed. Enable debug and trace on archive builds, keep the rest private behind IP allowlisting.

What Teams Build On Monad Nodes

Where a private, uncapped endpoint beats a shared RPC pool.

Public dApp Endpoints

Run a dedicated Monad RPC node as your public RPC for users, partners, and SDK traffic. You keep your own capacity during launches and viral spikes, so onboarding, swaps, and signing flows do not get throttled.

Private Backend RPC

Keep a Monad RPC node private for internal APIs, admin tools, and secure transaction workflows. Route only trusted service traffic through it for stable reads and controlled broadcasting in production.

WebSocket Subscriptions

Run subscription-heavy traffic on a dedicated node for real-time apps that stream newHeads and logs, plus Monad's speculative monadNewHeads and monadLogs. Steady fanout for dashboards, alerts, and notifications during peaks.

Indexer Log Ingestion

Feed indexers and analytics pipelines from your own Monad RPC node instead of fighting provider limits. Pull logs in small ranges with high concurrency and keep ingestion predictable, isolated from user reads.

Explorer Data Layer

Power explorers and analytics UIs with fast reads for blocks, transactions, receipts, and logs. Keep interactive queries responsive while your pipeline continuously ingests new activity from the chain tip.

Bot and Arbitrage

Trading bots need stable reads and reliable transaction routing during volatility. A dedicated Monad RPC node cuts random latency and request failures from shared queues, reserving one endpoint for critical strategies.

From Monad To Private Endpoint In 3 Steps

Pick a node, we provision dedicated bare metal, you get a private, snapshot-ready RPC URL.

  1. 01

    Pick Your Monad Node

    Choose a full or archive node. Monad RPC is Geth-compatible JSON-RPC; tell us the region closest to your users and whether you need WebSocket subscriptions.

  2. 02

    We Provision Bare Metal

    Your single-tenant monad-node deploys on PCIe Gen4 NVMe built for MonadDB, state-synced so you skip the long bootstrap. Monad mandates bare metal, which is all we run.

  3. 03

    Get Your Private Endpoint

    Receive a dedicated Geth-compatible JSON-RPC and WebSocket endpoint with unlimited requests and zero rate limits, private behind IP allowlisting and DDoS protection.

Put Your Node Where Milliseconds Are Won

RPC latency is mostly a function of distance. A dedicated node lets you choose the exact region, so you sit next to the traffic that matters instead of fighting for routing on a shared, far-away endpoint.

Place It Where Your Users Are

Deploy across 20+ Tier III locations in the US, EU, Asia, and Australia. Put your Monad node in the region your traffic actually comes from, not wherever a shared pool happens to route you.

Cut The Round Trips

RPC latency is mostly physical distance. Running in the same region as your users and the Monad network's peers shaves the round-trips a far-away, shared endpoint can never give back, which is what high-frequency reads and transaction submission live or die on.

Multi-Region By Design

Run a primary node plus regional read replicas for fast reads everywhere and built-in redundancy. Split public read endpoints from private admin, debug, and trace endpoints.

Need a node within a target latency budget of a specific region or venue? Tell us the endpoint and we'll recommend the closest facility.

Trusted To Run Production Nodes

Real reviews from Trustpilot, HostAdvice, Cryptwerk, and Google.

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    Set up multiple Solana + Avalanche validators through them. Hardware was clean, latency was low (especially in Europe), and uptime’s been 100% so far.
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    As a sysadmin, I care more about control than flashy dashboards. RedSwitches gives me root access, IPMI, and actual hardware specs I can configure. Good for serious users.
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Frequently Asked Questions

Chain IDs, clients, archive data, getLogs limits, and why dedicated beats compute-unit billing.

What does "dedicated" change versus a shared Monad RPC provider endpoint?

A shared Monad RPC provider puts you on the same pools as everyone else. That means noisy-neighbor contention, sudden request caps, and unpredictable latency during spikes. A dedicated Monad RPC node runs on single-tenant bare metal, so capacity stays reserved for your workloads. You get more consistent p95, cleaner incident triage, and fewer "random" failures that show up only at peak traffic. This matters most for public dApps, wallets, and indexing jobs that cannot pause when traffic surges.

Does Monad need bare metal, or can it run on a cloud VM?

Monad's own hardware-requirements docs state that nodes must run on bare metal, not virtualized or cloud environments. MonadBFT enforces tight, sub-second time windows, and virtualization adds context-switching overhead plus indirect I/O to SSDs and the network that breaks the determinism Monad needs. RedSwitches runs single-tenant bare metal only, with PCIe Gen4 NVMe sized for MonadDB, which is exactly the deployment profile Monad calls for.

Do you support WebSockets, and which subscription streams work on Monad (newHeads, logs, monadNewHeads, monadLogs)?

Yes. We can run WebSockets when your node profile calls for subscription traffic. On Monad, WebSocket subscriptions focus on block and log streams. The standard streams are newHeads and logs. Monad also exposes speculative monadNewHeads and monadLogs that publish roughly a second earlier, with extra blockId and commitState fields. Note: the syncing and newPendingTransactions subscriptions are not supported. We help you choose the right stream, then size the node so subscriber fanout stays stable under high concurrency.

Which RPC methods are supported on your Monad RPC node, and what differs from Ethereum?

You get Geth-compatible JSON-RPC for core reads and writes, across the eth, net, web3, debug, txpool, and admin namespaces. Most dApps and tooling work with standard methods like eth_call, eth_getLogs, eth_getBlockByNumber, and transaction send flows. Differences to plan for: there is no separate trace namespace (use debug tracing), EIP-4844 blob transactions are rejected on submission, and pending-transaction visibility behaves differently under parallel execution. We set expectations early so your team does not ship features that assume Ethereum mainnet behavior.

What is the safest way to pull logs at scale with eth_getLogs without timeouts or missed data?

Use small block ranges and parallelize by time window. Large ranges increase payload size, processing time, and failure rates, especially during backfills. A better pattern is to pull logs in small ranges, checkpoint the last processed block, and retry failed windows with backoff. For heavy indexing, we recommend keeping indexing traffic isolated from user RPC traffic. Your Monad RPC node stays responsive for users while your pipeline ingests logs consistently.

Do you support debug or trace calls, and should I use a separate endpoint for trace-heavy requests?

Yes, via Monad's debug namespace (debug_traceBlockByHash, debug_traceCall, and related). Note Monad does not expose a separate trace namespace. Debug tracing is expensive: it raises CPU and disk pressure and can degrade normal RPC latency if it shares the same endpoint. For production we recommend a separate endpoint or a dedicated archive node for debug-heavy teams. That keeps the main Monad RPC node fast for app reads while developers still get deeper introspection.

How does deploy-by-sync-time work, and when is the endpoint production-ready?

We provision your server quickly, then plan go-live around your sync window. The key variable is time-to-caught-up plus stability checks after catch-up. Production-ready means your node stays at tip, serves reads consistently, and handles your expected concurrency without drifting. If you need a strict launch date, we help you choose a node profile and region that reduces sync risk and gives you a safer buffer.

What history does a full node serve on Monad, and what should I do if my app needs deeper history?

A full node is great for current state reads and historical transactional lookups like blocks, receipts, and logs, retained in MonadDB. If your app needs deeper historical data, design around events and indexing rather than relying on arbitrary old state calls. For deeper transactional history workflows, we can propose a higher-capacity archive-style node based on your query patterns, and we will size NVMe so your Monad RPC node matches your real lookback needs.

Can I keep the endpoint private-only, and what access controls should I use in production?

Yes. Many teams run a private RPC for backends, bots, and internal tools. You can keep your endpoint private by restricting ingress, allowing only trusted IPs, and routing access through your own services. In production, we recommend a layered approach: private-by-default, strict allowlists, and separate endpoints for internal ops versus public app traffic. This reduces attack surface and prevents costly abuse.

Do you charge per request or per compute unit?

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.

How is this different from a shared RPC endpoint?

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.

Do I have to sync the node myself, or wait days for it?

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.

Can I deploy close to a specific region or sequencer?

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.

Monad Developer Resources

Official Monad resources for builders running a node: docs, explorers, source, network status, and faucets. Every link points at the first-party source, not a wrapper.

Launch Your Private Monad Node

From $199/mo flat, sized to your chain's node specs and typically 30-40% below other providers. Snapshot-ready provisioning, zero setup fees, 24/7 Web3 engineers, no compute units, no rate limits.