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.
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.
$ 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
A single-tenant node with people behind it: unlimited throughput, a named account manager, direct engineering access, and billing built for Web3 teams.
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.
A named account manager who knows your setup, not a ticket queue. One contact for provisioning, scaling, and anything urgent.
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.
Place your node beside your users across 20+ Tier III locations. Multi-region for redundancy, split read and write endpoints.
Settle in crypto or fiat, MON included. Flexible billing for Web3 teams, with the same predictable flat monthly price either way.
Custom load balancing, failover, and split read/write topology, designed and tuned for your traffic by our engineers.
Pick a node type, tell us your workload, and an engineer sizes and quotes it. One flat monthly price, no compute units, no overages.
For dApps, wallets, bots & backend APIs
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 →For indexers, explorers & deep history
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 →Thanks. A Web3 engineer will spec your private endpoint and reach out shortly.
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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.
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.
You control which namespaces are exposed. Enable debug and trace on archive builds, keep the rest private behind IP allowlisting.
Where a private, uncapped endpoint beats a shared RPC pool.
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.
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.
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.
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.
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.
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.
Pick a node, we provision dedicated bare metal, you get a private, snapshot-ready RPC URL.
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.
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.
Receive a dedicated Geth-compatible JSON-RPC and WebSocket endpoint with unlimited requests and zero rate limits, private behind IP allowlisting and DDoS protection.
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.
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.
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.
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.
Run validators, RPC, and archive nodes across the chains your stack depends on, all on the same dedicated bare metal, with the same isolation, speed, and control.
Real reviews from Trustpilot, HostAdvice, Cryptwerk, and Google.
Port speeds on cloud were capped and shady. With RS I actually get the 25Gbps they say. No throttle bs.
Network has been rock solid. They’ve got Tier 1 carriers like Arelion, GTT, and TATA… We just ping them on Telegram and they sort things out quickly.
Set up multiple Solana + Avalanche validators through them. Hardware was clean, latency was low (especially in Europe), and uptime’s been 100% so far.
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.
We were searching for a truly reliable and stable hosting provider with maximum uptime and a powerful network infrastructure to ensure the lowest possible latency. RedSwitches not only met but exceeded our expectations.
RedSwitches gave us full control over our infrastructure without the vendor lock-in we kept running into with cloud hosts. Customizable builds, fast provisioning, and actual humans handling support tickets. It’s refreshing.
My website works smoothly, thanks to their 99.99% uptime guarantee. The support team is another plus for me, as I always have been able to get help whenever I needed it in just 5 minutes on average.
Deployed a few Ethereum and Bitcoin nodes here. Uptime’s been flawless, and sync speed was great thanks to their storage config.
They provide what they promise, I got no throttling while running my RPC Nodes. I got server in a Amsterdam for the best price.
I am using their 10gbps streaming server for last 6 months and I have no complaints. Extremely quick live chat support and I love that they accept crypto.
A really great hosting provider - what stands out the most is the stability of the network connection and the wide selection of bare metal servers. We’re very satisfied, and RedSwitches covers all of our needs.
Pros: Extremely reliable hardware, low-latency network, transparent billing… Great choice if you need raw power without cloud complexity. Works well for our dev environment and some AI workloads.
I have worked with OVH and Contabo in the past, but RedSwitches hit a better balance of price vs. support. Not the cheapest, but I get better performance and faster help.
Been using RedSwitches for 6 months now for my small game server biz. Uptime has been great, and I haven’t run into any hidden charges.
Using the storage servers to archive logs and snapshots from our AI pipeline… I also love that I could pick the datacenter closest to our team.
Support is super responsive. I had an issue with an OS reinstall and they jumped in within 10 minutes… Transparent pricing = win.
They have an instant delivery section… they delivered it within 120 mins with all my requirements fulfilled (OS/RAID/Software configured etc).
A dedicated server has been installed within 30 minutes. Thirty minutes. It takes DAYS for some famous providers out there, but these guys do their work right.
I have been using their services for over 5+ years… Uptime: 10/10, Network: 10/10, Hardware Quality: 10/10, Customer Support: 20/10 (No, That’s Not A Typo).
They offer top quality hardware, excellent uptime and very responsive support… They helped us scale our business exponentially and we went from 1 server to 14 dedicated servers in less than a year.
Great hardware, non congested network and excellent service. Already using them for over a year and would definitely recommend Redswitches if you are looking for a reliable hosting provider.
With servers available in numerous strategic locations, RedSwitches offers exceptional versatility and performance for our company’s diverse hosting needs. Plus, their no setup fee policy really helps keep costs down.
"Your server is ready" - I read this message within 30 mins of starting the chat with their Sales Team… Excellent DELL Hardware and 100% Uptime.
The dedicated server I got from RedSwitches has been incredibly reliable and fast. Their bare metal cloud solutions offer excellent performance, and the cloud VPS options are perfect for scaling. Highly recommended!
I have been using their dedicated server from 9 months now. Starting from pre-sales till today I have not experienced downtime or lack of support.
First of all, all services work as expected - secondly - support is outstanding, no matter when you start the conversation with colleagues at support they have knowledge to help you out.
We have been using Red Switches for several years since 2021. I have never experienced such fast customer service.
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Chain IDs, clients, archive data, getLogs limits, and why dedicated beats compute-unit billing.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.