Choose full node, archive node, or validator-ready builds on dedicated hardware with NVMe storage, a 99.99% uptime SLA, and KVM, root, plus IPMI access for full control and fast recovery.
We guarantee these dedicated specifications (or better) to ensure optimal node performance and stability.
| Node Type | Dedicated Hardware (Storage / RAM) |
|---|---|
| Full Node | 4 Cores - 8 Cores (Fast CPU) / 16 GB - 64 GB / 2 TB SSD - 4 TB NVMe / 25 Mbps+ |
| Validator Node | 4 Cores - 8 Cores / 16 GB - 32 GB / 2 TB NVMe / 100 Mbps |
| Archive Node | 4 Cores - 16 Cores / 32 GB - 64 GB+ / 15 TB SSD (Geth) - 4 TB NVMe (Erigon/Reth) / 1 Gbps |
Inquiring about: Node
Ethereum RPC performance is storage-led. You need fast NVMe, cache headroom, and stable peering. These specs cover three builds: RPC full node, archive node, and validator-ready.
| Component | Specification Breakdown | Ethereum Benefit |
|---|---|---|
| CPU |
Full Node: 8+ high-clock cores
Archive: 16+ high-clock cores
Validator: 8 high-clock cores
|
Higher clocks keep execution work fast. More cores help sync. |
| RAM |
Full: 32–64GB
Archive: 64–128GB
Validator: 32GB
|
More RAM means more caching and steadier RPC under load. |
| Storage |
Full: 2–4TB NVMe
Archive: 3TB–12TB+ NVMe
Validator: 2–4TB NVMe
|
Fast state reads (Full) & historical capacity (Archive). |
| Network | 10Gbps or 25Gbps Uplink Options | Better peering, faster catch-up, fewer latency spikes. |
| Bandwidth | Metered or Unmetered Options | Unmetered fits sustained sync & high RPC traffic. |
As a dedicated ethereum rpc node provider, RedSwitches puts your node on single-tenant bare metal. You get dedicated CPU, RAM, and disk lanes. This avoids noisy neighbors and helps keep sync progress and RPC response times consistent during spikes.
Ethereum RPC work is storage-led. NVMe cuts state read latency and speeds database writes. You get smoother RPC under load and fewer timeouts. Start with NVMe for full nodes, then scale capacity as state and history grow.
Pick the node type that fits your workload. Full nodes handle most app reads and transaction flow. Archive nodes serve older block state, traces, and analytics. We size RAM and storage around query depth, not a generic template.
Ethereum runs two clients after The Merge. You need an execution client and a consensus client. Tell us your preferred stack, and we install the required clients on request. You keep root control for tuning and updates.
Execution clients reward strong single-thread speed. High clock CPUs help with sync steps, block processing, and busy RPC workloads. When you need more parallel work for archive queries, you can move to higher core counts up to 128 cores .
Public RPC endpoints attract abuse, bots, and traffic floods. DDoS protection helps keep your node reachable during spikes. You still control access rules at the server level, so you can keep RPC private and expose only what you need.
Latency and routing change RPC feel. With 20+ global Tier III data centers, you can deploy closer to users, apps, or trading regions. You can also run multi-region nodes for redundancy or split read and write endpoints.
You get root access plus IPMI and KVM for out-of-band recovery. This matters when a kernel update, firewall rule, or client crash locks you out. You can reboot, reimage, and restore service without waiting.
Zero setup cost keeps ordering simple. Pay with 20+ methods, including crypto. We install the required clients on request. You deploy according to sync time, then run with free 24/7 technical support when you need help.
Run latency-sensitive swaps and arbitrage on your own ethereum rpc node. Dedicated CPU, RAM, and NVMe I/O keep responses stable during market spikes. This fits high-frequency bots that break on shared throttling and need predictable reads and transaction submission.
Build and maintain indexing pipelines that scan blocks, logs, and contract events nonstop. Archive-ready storage options support deeper backfills and historical reads. This fits teams running analytics, alerting, and ETL jobs that cannot depend on public endpoints.
Power block explorers and search APIs that serve constant read traffic. Full nodes handle latest-chain queries, while archive nodes support older state lookups and traces. Dedicated server resources keep pages loading fast even when users spike during major network events.
Support engineers who need deep transaction inspection. Heavy debug and trace workloads stress CPU, RAM, and storage. A dedicated Ethereum RPC node provider setup gives you isolation and headroom so tracing tools do not overload the same node your apps rely on.
Serve balances, nonce checks, token lists, and transaction status from private infrastructure. Dedicated servers reduce timeout risk and keep RPC behavior consistent. This is ideal when wallet uptime affects user trust, support volume, and transaction completion rates.
Deploy nodes close to users across regions to reduce latency and routing variability. Use a primary write node and regional read nodes for scale. With 20+ Tier III data centers, you can design redundancy without relying on a single shared provider region.
Run compliance reporting, dashboards, and internal research on dedicated hardware. Archive access matters when you query older blocks or reconstruct historical state. Upgradeable RAM and NVMe capacity help you match ethereum rpc node requirements as data depth expands.
Public endpoints attract scraping, spam, and traffic floods. Run private-by-default RPC, then expose only what your app needs. DDoS protection plus server-side controls helps keep service reachable while protecting dedicated capacity from unauthorized use.
Support validator operations that need stable performance and reliable uptime. Validator-ready builds prioritize consistency, clean isolation, and recovery access. Root, IPMI, and KVM help you fix issues fast, while 24/7 support reduces downtime risk.
| Features | RedSwitches Dedicated Nodes | Other Providers |
|---|---|---|
| SINGLE-TENANT BARE METAL | ✅ Guaranteed Resources |
❌ Often Virtualized / Shared |
| ALL-NVMe STATE STORAGE | ✅ Standard on all builds |
⚠️ Mixed (HDD / SSD / NVMe) |
| FULL ARCHIVE NODE SUPPORT | ✅ Custom RAM/Disk Sizing |
❌ Limited History or Fixed Specs |
| CUSTOM EL/CL STACK CHOICE | ✅ We install your preference |
❌ Pre-configured / No Choice |
| GLOBAL TIER III LOCATIONS | 20+ Locations Asia, EU, US, AU |
Limited Regions (Mostly US/EU) |
| INCLUDED DDoS PROTECTION | ✅ Always On |
⚠️ Paid Add-on or None |
| 24/7 EXPERT HUMAN SUPPORT | ✅ Included Free |
❌ Tickets / Premium Tiers Only |
| ZERO SETUP FEE | ✅ Instant Deployment |
❌ Often Charged ($100+) |
active Ethereum nodes
average uptime across all Nodes
average support response time
customer retention rate
4.7
4.9
4.9
A dedicated Ethereum RPC node is your own Ethereum node running on a single-tenant server. This rpc node ethereum setup serves your private JSON-RPC traffic. Your apps send JSON-RPC requests to your node, not a shared endpoint used by other customers. On RedSwitches, you run this on bare metal with root access, so you control clients, configs, and capacity.
A shared endpoint serves many customers from pooled infrastructure. That often means throttling, noisy-neighbor I/O, and inconsistent response times during traffic spikes. A dedicated node runs on your server with reserved CPU, RAM, and NVMe I/O. This rpc node ethereum model keeps performance tied to your hardware, not other tenants.
Most production apps work on a full node. It handles current-state reads and transaction flow while keeping storage manageable through pruning. Choose an archive node when you need historical state at older blocks for analytics, explorers, audits, or deep debugging. Archive costs more because storage and query load grow fast.
Our Full node builds target current-chain reads and stable RPC for dApps, wallets, and backend APIs. They keep recent state for safety and prune older state to control disk growth. Archive builds keep historical state so old-block queries work reliably and trace workflows run with fewer failures. Plan extra CPU and RAM for heavy tracing.
If you ask for state at an older block height, many calls need archive data. Common examples include balance and contract state reads like eth_getBalance, eth_call, eth_getCode, and eth_getStorageAt when you pass an older block tag or block number. This is where pruned nodes often fail or time out.
It depends on the execution client and how you want to expose the endpoint. On dedicated servers, you control which modules you enable. Many teams run a separate “debug node” so trace workloads do not impact production RPC. If you need tracing, plan extra CPU, RAM, and archive-grade storage headroom.
Yes. Post-Merge Ethereum runs as a paired stack: one execution client plus one consensus client. You can choose the combination your team prefers, and we can install the required clients on request. If you are unsure, choose a widely used stack and size your server around NVMe and RAM first.
Yes, when your selected clients support them and you enable the interfaces in your config. HTTP/HTTPS fits standard request and response calls. WebSockets fit real-time subscriptions and event-driven apps. For production, keep endpoints private by default and publish only what your app needs.
Yes. A dedicated Ethereum RPC node on RedSwitches runs on single-tenant hardware. Your CPU, RAM, and storage I/O are not shared with other customers. This isolation is the core difference between a dedicated ethereum rpc node provider and a shared RPC service. If you compare the Best ethereum rpc node provider, verify single-tenant isolation first.
Start private, then open access in layers. Use IP allowlisting, a VPN, or a private network path for internal services. Add TLS at the edge if you must expose RPC publicly. Avoid exposing sensitive namespaces, and split public read endpoints from any admin or debug endpoints.
All plans include a 99.99% uptime SLA. RPC workloads need stability because downtime breaks wallets, bots, and backend jobs. When you compare the Best ethereum rpc node provider, check the SLA terms in writing. Pair the SLA with your own node monitoring, alerting, and process restarts so your services recover fast after client issues.
Provisioning the server and syncing Ethereum are two different timelines. RedSwitches provisions the dedicated server quickly after payment confirmation. Sync time depends on node type, client choice, NVMe performance, and bandwidth. Archive nodes take longer than full nodes by design.
Archive sync takes longer because it stores far more historical state. Disk performance and storage headroom matter most. They sit at the center of ethereum rpc node requirements for stable sync. NVMe reduces bottlenecks during database writes, and more RAM helps caching. Bandwidth and peer quality also affect download stages, especially during the first sync.
Yes. You can scale CPU, RAM, storage, and network as your traffic and state grow. This matters because Ethereum storage expands over time and query load increases with product usage. If you plan growth, start with NVMe headroom and leave room for RAM upgrades. That matches ethereum rpc node requirements as state and traffic expand.
Yes. Archive nodes cost more because they require much larger storage and handle heavier queries. Storage needs also vary by client and configuration. If you need historical state and traces, archive is the right fit. If you mainly need current-state reads and transaction flow, full nodes give better cost control.
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