When traffic spikes, shared NEAR RPC endpoints throttle you. Run a NEAR dedicated node cluster with single-tenant CPU, RAM, and NVMe for stable reads and reliable sends.
A Dedicated NEAR RPC Node Provider built for production teams: predictable reads, safer endpoint exposure, and a clean upgrade path from NEAR RPC to NEAR archival when you need deep history.
We guarantee these dedicated specifications (or better) to ensure optimal node performance and stability.
| Node Type | Dedicated Hardware (Storage / RAM) |
|---|---|
| Full Node | 8 Cores (AVX Req) / 16 Cores - 24 GB / 64 GB - 1 TB NVMe / 2 TB NVMe - 100 Mbps |
| Validator Node | 8 Cores (AVX Req) / 16 Cores - 24 GB / 64 GB - 1 TB NVMe / 2 TB NVMe - 100 Mbps |
| Archive Node | 8 Cores / 16 Cores - 32 GB / 64 GB - 15 TB HDD / 20 TB SSD - 1 Gbps |
Inquiring about: Node
NEAR RPC performance is NVMe-first. You need fast NVMe, enough RAM for cache, and CPU support for AVX. Use a NEAR RPC node for current-state reads. Use a NEAR archival node only if you must query deep history.
Get Dedicated NEAR RPC Node Servers on single-tenant CPU, RAM, and storage. You avoid shared throttling and noisy neighbors. Your NEAR RPC stays predictable during traffic spikes, bot bursts, and heavy view-call workloads.
RedSwitches is a dedicated NEAR RPC node provider with real infrastructure control. You receive dedicated hardware, private access, and the flexibility to establish your own security and performance policies. You are not boxed into hosted endpoint limits.
Choose fully managed operations or go unmanaged for full control. Managed fits teams that want uptime without on-call. Unmanaged fits teams that already run DevOps. Either way, you run on dedicated servers built for production node workloads.
Managed service covers the core operational work: nearcore install and configuration, safe RPC exposure, sync status checks, routine health checks, upgrade assistance, and incident escalation through 24/7 technical support. You keep visibility and control while we handle the grind.
Use NEAR RPC for current-state reads and production app traffic. Use a NEAR archival node when you need deep history for analytics, explorers, compliance, or backfills. We size the build to match your query depth and retention needs.
NEAR RPC performance is NVMe-first. Fast NVMe reduces latency and timeouts when parallel requests hit the node. RedSwitches offers NVMe and SSD storage options so state reads stay quick and stable under sustained traffic.
RAM drives cache headroom and read stability. RedSwitches supports upgradeable DDR4 and DDR5 memory sized to your concurrency target. You reduce response jitter during peak traffic and keep view calls steady under load.
NEAR nodes need specific CPU instruction support and enough cores for concurrency. RedSwitches provisions compatible builds and scales up to 128 cores. You get headroom for sustained throughput, multiple services, or growth without replatforming later.
Production RPC needs a failure plan. RedSwitches supports a NEAR dedicated node cluster approach with multiple dedicated servers and clean cutover paths. Run active-active for resilience or hot-standby for cost control, based on your risk level.
You need visibility, not guesswork. Track sync lag, service health, disk pressure, RPC errors, and latency trends using your monitoring stack. For managed deployments, we help watch service health and support incident response through 24/7 technical support.
Public NEAR RPC endpoints attract abuse. RedSwitches includes DDoS protection and gives KVM, root, and IPMI access. You stay reachable during attacks and recover fast when the node needs hands-on troubleshooting.
Deploy NEAR RPC close to users with 20+ Tier III data centers and strong 10 and 25Gbps connectivity, with metered or unmetered bandwidth options. Pay with 20+ methods or crypto, so procurement never blocks a production rollout.
Wallets depend on fast NEAR RPC reads for balances, access keys, and account state. Dedicated NEAR RPC Node Servers keep responses consistent during login spikes, airdrops, and peak usage. Your users stop seeing stalled screens, and your backend stops retrying the same calls.
Indexers scan blocks and receipts at scale, then replay data for analytics, alerts, and ETL pipelines. Dedicated capacity prevents queue buildup during long runs. When you need deep history, pair the workload with a NEAR archival node plan built for long-range backfills.
Explorers handle nonstop read pressure for blocks, transactions, receipts, and contract pages. Shared endpoints often collapse during high-attention events. A dedicated node keeps your explorer APIs responsive, so search results load reliably and detail views return complete data instead of partial failures.
Audit and research workflows need old receipts, contract state changes, and long-range investigation data. That is where a NEAR archival node matters. You get dependable deep-history access for compliance checks, incident reviews, and forensic traces without slowing your production NEAR RPC traffic.
Global users feel latency variance first. Deploy Dedicated NEAR RPC Node Servers close to users in the USA, UK, India , and other regions. You reduce jitter for reads and writes, and you can route traffic by geography instead of forcing all requests through one location.
Exchanges and custody systems rely on constant monitoring for deposits, withdrawals, and confirmations. Dedicated NEAR RPC reduces missed events caused by throttling and timing drift. Your platform tracks activity with steadier reads, fewer retries, and cleaner downstream reconciliation for accounting and risk.
Automation flows break when response times spike and requests start queuing. Dedicated resources keep bot reads consistent and lower the chance of missed execution windows. This supports trading bots, treasury automation, liquidation triggers, and alert systems that depend on timely NEAR RPC calls.
When a node falls behind, your app, bot, or indexer starts missing fresh state. Dedicated capacity helps you catch up without competing for shared resources. You shorten the gap between “behind” and “serving normally,” so user-facing services recover faster.
Public endpoints attract scans, junk traffic, and abusive request patterns. RedSwitches works as a Dedicated NEAR RPC Node Provider with DDoS protection and dedicated capacity, so hostile traffic does not choke real users. You stay reachable during launches and network-wide spikes.
| Features | RedSwitches Dedicated Nodes | Other Providers |
|---|---|---|
| BARE METAL NEAR PERFORMANCE |
✅ 100% Dedicated AVX-Ready Hardware |
❌ Shared VPS / Weak Single-Core |
| ARCHIVAL STATE STORAGE |
✅ NVMe (Hot) + HDD (Cold) Split |
⚠️ Expensive All-Flash / Capped |
| CUSTOM CLIENT STACK |
✅ Nearcore + Full Config Access |
❌ Fixed API / No Root Access |
| NETWORK UPLINK |
10Gbps / 25Gbps Unmetered Available |
1Gbps / Capped Bandwidth |
| GLOBAL NEAR LOCATIONS |
20+ Regions Low Latency Peering |
Limited (US/EU Only) |
| DDoS PROTECTED RPC |
✅ Always On Protection |
⚠️ Paid Extra / None |
| SETUP FEE |
✅ Zero (Free Setup) |
❌ High Setup Costs |
active Near nodes
average uptime across all Nodes
average support response time
customer retention rate
Shared endpoints batch you with other users. When traffic spikes, you compete for CPU, RAM, and disk IOPS. That leads to throttling, higher latency, and inconsistent responses. With Dedicated NEAR RPC Node Servers, your endpoint runs on single-tenant resources. You get predictable throughput, stable reads, and cleaner send reliability. You also control server access, upgrade timing, and how you expose the endpoint. [Image of dedicated vs shared RPC node architecture]
Use a standard Dedicated NEAR RPC Node when your app mainly needs current state. That fits wallets, dApps, bots, and most backend APIs. Choose a NEAR archival node when you must query deep history for analytics, investigations, compliance, or long-range backfills. Archival is the right choice when “recent state” is not enough and you cannot accept missing older receipts or historical data.
We size for your request pattern first, not generic tiers. Tell us what you run: wallet reads, explorer traffic, indexer backfills, or automation bots. Then we map that to dedicated resources. For NEAR RPC, disk speed matters a lot, so we prioritize NVMe for state reads. We scale RAM for cache headroom and concurrency. We scale CPU cores when you need more parallel request handling. If you expect sustained high load, we plan a scale path instead of waiting for incidents.
Traffic spikes usually create two problems: request queuing and state-read pressure. On a dedicated server, you have reserved resources, so you avoid shared contention. If you outgrow the current box, we can upgrade CPU, RAM, and storage tiers, or move you into a NEAR dedicated node cluster design for higher availability and distribution. The goal is to scale without breaking your endpoint strategy.
Unmanaged means we deliver the dedicated infrastructure and you run node operations. You get root access, full control, and you manage installs, upgrades, and monitoring. Managed means we handle core node operations with you. That includes NEARcore setup, service health checks, upgrade assistance, and incident escalation through 24/7 technical support. Managed is built for teams that want reliability without full-time on-call.
Security starts at the network edge. We support firewall controls so you can restrict who can reach your NEAR RPC endpoint. Many teams keep RPC private and allow only backend IPs. We include DDoS protection to reduce downtime risk from volumetric floods. For access control, you can add an allowlist model at the server and network level. If you need stricter patterns, we can align the deployment around your security policy.
Yes, many production teams keep NEAR RPC off the public internet. You can run the node behind private access rules and expose it only to your application servers. This reduces abuse traffic and keeps performance predictable. It also helps when you run multiple services around the node and want to keep internal traffic isolated.
NEARcore upgrades should be planned, not rushed. With managed service, we schedule upgrades, validate service health, and follow a controlled rollout approach. With unmanaged, we can still advise on safe upgrade timing and operational practices. If you need uptime guarantees during upgrades, use a NEAR dedicated node cluster approach so you can upgrade one node while the other continues serving traffic.
Good RPC service depends on visibility. You should track node sync lag, service health, disk pressure, memory usage, and request errors. On RedSwitches infrastructure, you keep full access to the system, which means you can run your preferred monitoring stack. With managed coverage, we help monitor service health and support incident response when issues appear.
Sync time depends on current network conditions, your hardware profile, and whether you run NEAR RPC or a NEAR archival node. A dedicated server helps because you are not sharing disk and CPU during catch-up. We set expectations based on your target height and workload. If you want faster time-to-ready, the best lever is sizing storage and memory correctly from day one so the node does not hit I/O bottlenecks during catch-up.
Yes. Many teams start with NEAR RPC and move to archival when product needs change. The main change is storage design and capacity planning, not your entire stack. We can plan the upgrade path so you do not get stuck with a rebuild when you add historical requirements. If you expect eventual archival needs, we design with that in mind.
Yes. Archival history grows, and storing everything on premium NVMe is expensive. Split storage is a practical approach: keep hot data on faster disks, and push older history to colder storage. This keeps performance where it matters while controlling long-term storage cost for a NEAR archival node. [Image of NEAR archival node split storage architecture]
Yes. If RPC uptime matters, plan for redundancy. A NEAR dedicated node cluster uses multiple dedicated servers, traffic routing, and clean cutover paths. This gives you failover during maintenance, upgrades, or unexpected issues. It also helps you scale read traffic by distributing load instead of overloading a single machine.
We offer both metered and unmetered models. Metered fits predictable usage patterns. Unmetered fits sustained sync, heavy read traffic, and indexer-style workloads that generate consistent throughput. If you serve public NEAR RPC at scale, bandwidth planning matters. We will match the plan to your traffic profile so you do not get surprised later.
RedSwitches supports 20+ payment methods and crypto payments. This helps teams that want fast procurement or flexible billing routes. If you need invoicing and a clean purchasing workflow, we can support team buying flows so you can deploy Dedicated NEAR RPC Node Servers without delays.
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