Shared RPC infrastructure pools one set of nodes across many customers. Dedicated RPC infrastructure gives one customer isolated nodes and endpoints. The difference is invisible in a demo and very visible in production: on shared infrastructure, another customer's traffic spike slows down your requests too. On dedicated infrastructure, it can't.
Most Web3 teams start on shared or public endpoints because that's what's free or cheapest at low volume, and that's the right call early on. The problem shows up later, when traffic grows and the app that worked fine in testing starts timing out during exactly the moments users care most: a busy mint, a liquidation cascade, a network congestion event.
This piece compares what each model actually gets you, where shared infrastructure holds up fine, and what specifically changes once you move to dedicated nodes.
What shared RPC infrastructure means in practice
Shared and public RPC endpoints run one pool of nodes serving many customers at once. You get access to a chain without provisioning anything yourself, which is exactly why most teams start here.
Two things define shared infrastructure. First, resource contention: your requests sit on the same hardware as everyone else's, so when another customer's indexer or bot hammers that node, your latency suffers too, even though you did nothing differently. Second, usage-based limits: most shared providers meter usage in compute units or credits, where calls like eth_getLogs, trace methods, and archival lookups cost far more than a plain balance check. A busy event on a contract you don't control can burn through a shared allotment in an afternoon.
None of this makes shared RPC a bad choice. For prototypes, testnets, and low-volume internal tools, it remains the right call. The real question is whether your traffic, compliance needs, or uptime commitments have outgrown what a shared pool can guarantee.
What dedicated RPC infrastructure changes
A dedicated node belongs to one customer. No resource contention, no shared rate limits, full control over client configuration, sync mode, and any custom RPC methods you want to expose.
That isolation is the entire value proposition. Your performance doesn't dip because another tenant is having a busy day. Your bill doesn't move because someone else's traffic spiked. And because you're not sharing a rate-limit pool, you can size your infrastructure to your own traffic pattern instead of a provider's shared-tier assumptions.
Dedicated infrastructure also opens up options shared endpoints rarely offer: full and archival node access as first-class resources rather than metered add-ons, documented uptime SLAs with real remedies attached, and compliance certifications like SOC 2 that regulated entities and institutional partners increasingly require during due diligence.
Where the gap actually shows up
Two real incidents illustrate why this distinction matters beyond theory.
When Ronin Bridge was hacked for roughly $625 million in 2022, the failure traced back to infrastructure and validator-key management, not a flaw in Ethereum or Solidity itself. It's a reminder that the infrastructure layer, not just the smart contract layer, carries real risk when it's under-resourced or improperly isolated.
Ethereum's CryptoKitties congestion event in December 2017 showed the same failure mode from a different angle: a single popular application overwhelmed shared network capacity and degraded the experience for everyone else on it. Shared infrastructure, whether it's the base chain or an RPC pool sitting in front of it, gets tuned for the average day. The gap between "fine most of the time" and "unusable during a spike" is where most production incidents live, and it's precisely the gap dedicated infrastructure is built to close.
Dedicated vs shared RPC infrastructure, side by side
| Factor | Shared RPC | Dedicated RPC |
|---|---|---|
| Resource isolation | Pooled across many customers | Isolated to one customer |
| Performance under load | Dips when other tenants spike | Stays consistent regardless of other traffic |
| Rate limits | Shared cap across the whole tier | Ceiling set by your own plan only |
| Customization | Standard methods only | Custom methods, client config, sync mode |
| Compliance | Rarely offers SOC 2 or a contractual SLA | SOC 2 Type II and uptime SLAs are common |
| Cost model | Usage-based, hard to forecast at scale | Flat or predictable tiered pricing |
| Best fit | Prototypes, testnets, low-volume apps | Production apps, regulated entities, high-traffic services |
That cost-model row matters more than it looks. Usage-based, compute-unit pricing is exactly why RPC bills get unpredictable at scale, since heavier methods cost far more per call than basic reads. If pricing forecasting is the main pain point rather than performance isolation, our breakdown of transparent vs compute-unit RPC pricing covers that comparison in more depth.
When shared RPC is still the right call
Shared infrastructure isn't a compromise for every team, it's the correct choice for a specific stage. If you're prototyping, running a testnet, or serving low, predictable traffic, the isolation and SLA guarantees of dedicated infrastructure solve a problem you don't have yet. Paying for dedicated capacity before you need it is its own kind of waste.
Signals it's time to move to dedicated
A few patterns reliably show up right before teams switch:
- You're hitting rate limits or compute-unit ceilings during normal usage, not just during spikes.
- Latency gets inconsistent in ways that don't correlate with your own traffic, a sign another tenant is affecting your node.
- A partner, auditor, or investor asks for an uptime SLA or a SOC 2 report your shared provider can't produce.
- You need archival access as a core part of your product, not an occasional query.
- Your team wants custom RPC methods or sync configurations a shared, standardized endpoint won't expose.
If more than one of these already applies, shared infrastructure is likely costing you more in workarounds than dedicated infrastructure would cost in fees. Instanodes runs dedicated Nodes-as-a-Service across 50+ blockchains, backed by a 99.95% uptime SLA and multi-region failover. Our guide to what to check before switching providers walks through the SLA, failover, and compliance questions worth asking before you sign with anyone.
FAQ
What's the difference between dedicated and shared RPC infrastructure?
Shared RPC infrastructure pools nodes across many customers, so performance and rate limits depend partly on other tenants' traffic. Dedicated RPC infrastructure isolates nodes and endpoints to a single customer, so performance, rate limits, and cost stay tied only to your own usage.
When should a team move from shared to dedicated RPC?
Usually when rate limits or compute-unit ceilings get hit during normal traffic, when noisy-neighbor latency spikes start appearing, or when a compliance requirement like a documented uptime SLA or SOC 2 report becomes non-negotiable.
Is dedicated RPC infrastructure more expensive than shared?
Not necessarily at scale. Shared, usage-based pricing gets unpredictable once traffic grows and heavier methods dominate the request mix. Dedicated infrastructure often runs on flatter, more predictable pricing that's easier to forecast even though the sticker price looks higher at low volume.
Does dedicated RPC infrastructure include archival nodes?
It should, though providers vary. Ask whether archival access is offered as a first-class dedicated resource or bolted on as a separately metered add-on. That distinction affects both cost and reliability for analytics, indexers, and reporting tools.
Can a small project start with dedicated RPC, or is shared always the right first step?
Shared RPC is usually the right first step for prototypes and low-traffic apps, since dedicated infrastructure solves problems around isolation and compliance that a small project typically hasn't run into yet. Teams move to dedicated once traffic, compliance needs, or reliability requirements outgrow what a shared pool guarantees.
If your app is still on the shared endpoint you launched with and you're starting to see the cracks, talk to us about what a dedicated setup would look like for your actual traffic, not a generic tier.