RPC endpoint hosting cost: AWS vs dedicated infrastructure (2026)
A single RPC endpoint workload (16 vCPU, 64 GB RAM, 4 TB NVMe net of replication) costs $1,112 per month on AWS before a single byte of egress is billed. The same workload fits on a $219 whole server. That gap is wider than the equivalent gap for an Ethereum validator or a Chainlink node, and the reason is network egress. RPC endpoints are the only crypto infrastructure workload where bandwidth is a meaningful monthly cost driver, and bandwidth is the line hyperscalers price most aggressively.
This page runs the actual numbers for one RPC endpoint workload across the providers an operator actually compares, then explains why the gap looks the way it does.
The workload
A production RPC endpoint at modest institutional scale needs:
- 16 vCPU steady-state under JSON-RPC load
- 64 GB RAM at the archive-feature ceiling for Ethereum execution plus consensus client memory plus JSON-RPC connection pool overhead
- 4 TB NVMe net of replication for state, recent trie depth, recent block storage
- continuous high-bandwidth ingress and egress for JSON-RPC traffic
- 99.99% uptime target
Most RPC cost comparisons treat the workload as "big servers." The cost shape is actually unusual. CPU sits high under sustained load instead of spiking. Memory hits a ceiling that does not move. Storage grows aggressively with archive features and recent trie depth. Egress dominates the bill on public RPC endpoints in a way it does not for any other crypto workload.
Side-by-side pricing
All monthly figures in USD, as published by each provider at the time of writing.
| Provider | Monthly cost | Pricing model |
|---|---|---|
| AWS EC2 | $1,112 | Per-resource, egress on top |
| Servers.com SBM | $1,219 | Whole server, smallest SBM that fits |
| Latitude.sh | $720 | Whole server |
| Hetzner AX162 | $219 | Whole server, fits one workload |
Two numbers stand out. AWS is more than 5x the cheapest whole server before egress is added, and egress is where the AWS bill really grows. Hetzner is the only low-cost option in the table and it sells one server, not one workload. The economics under each model are not the same conversation.
LinkPool is not in the table. Our managed RPC endpoints are quoted as one fixed monthly cost per endpoint, sized to the chains, traffic profile and archive requirement, with bandwidth bundled. There is no public rate card to put in a row, and pricing for LP MKS, our self-service bare-metal Kubernetes platform, will be published when it launches.
Why the gap is wider for RPC than for validators
Egress is the single biggest difference. AWS data transfer out runs $0.09 per GB after the first GB. A moderately-loaded public RPC endpoint serves multiple terabytes of egress per month under sustained JSON-RPC traffic. That alone is several hundred dollars per month before any compute, memory, or storage cost.
State bloat is the second. The 4 TB net figure today is projected to climb to 5-6 TB by the end of 2026 for archive-feature endpoints. NVMe at scale is priced differently on a hyperscaler than on a colocation host.
Read-replica scaling is the third. Hyperscalers price read replicas aggressively. Dedicated infrastructure runs replicas on the same fabric without per-replica licensing or egress between zones.
When each option is the right call
AWS suits short-lived test and development RPC setups, integration environments, and any case where the workload runs less than full-time. The hourly billing model and the surrounding service catalogue carry real value when usage is bursty.
Hetzner is the right call for operators running one or two RPC endpoints per server, accepting the platform risk that comes with consumer-grade infrastructure for production crypto work. In November 2022 Hetzner enforced its terms-of-service against 1,000+ Solana validators in a single policy change. That risk has not gone away.
Managed infrastructure on burstable QoS fits production RPC work where steady-state cost matters and traffic is predictable. RPC workloads handle burstable well because their CPU sits high under load rather than spiking.
Guaranteed QoS fits RPC work where any throttling under contention or any read-replica scaling pressure is unacceptable. Institutional ETH endpoint operators, large dApp backends, and any workload sensitive to JSON-RPC tail latency belong on a guaranteed tier.
What else changes the bill
Three line items that do not appear in a sticker-price comparison but matter at the bill level.
Hypervisor overhead adds 0.3-1.2ms per network hop on shared-tenant hosts. For JSON-RPC traffic that is a measurable tail-latency tax.
DIY dedicated-infrastructure operations overhead runs £4,000-£13,000 per month in engineering time on a self-managed build. That figure does not appear in a per-server quote. It does appear in the headcount budget.
Manchester. Our infrastructure runs across three availability zones in Manchester. That is the location reference operators audit when an institutional buyer asks where the workload runs.
Common questions
How much does it cost to host an RPC endpoint on AWS?
One RPC endpoint workload (16 vCPU, 64 GB RAM, 4 TB NVMe) costs approximately $1,112 per month on AWS. Egress is charged on top at $0.09 per GB, a significant additional cost for public endpoints with sustained JSON-RPC traffic.
Why are RPC costs higher than validator costs on cloud?
Egress. RPC endpoints serve JSON-RPC traffic continuously. A moderately-loaded public endpoint generates multiple terabytes of outbound data per month. Bandwidth is what hyperscalers price most aggressively, and it is the one crypto workload where that matters.
What is the cheapest RPC endpoint hosting option?
Per server, Hetzner's AX162 at $219 per month is the cheapest option, but it sells a whole server rather than a workload and does not bundle egress. Managed infrastructure with a fixed monthly cost and bundled bandwidth removes the egress line entirely, which is the line that dominates the AWS bill for a public endpoint.
Burstable vs guaranteed QoS for RPC: which should I use?
Burstable suits most RPC workloads. CPU sits high under sustained load rather than spiking, which burstable handles well. Guaranteed QoS is the right call when JSON-RPC tail latency matters or when read-replica scaling pressure is unacceptable.
Related reading
- ETH validator hosting cost: AWS vs dedicated infrastructure in 2026, page 1 of this comparison series
- Archive node hosting cost: cloud vs dedicated infrastructure, the storage side of the same comparison
- Bare-metal Kubernetes hosting: cloud vs dedicated infrastructure, the architecture context
- What goes into running a Chainlink Data Streams node, shared workload-shape framing
Frequently asked questions
How much does it cost to host an RPC endpoint on AWS?
One RPC endpoint workload (16 vCPU, 64 GB RAM, 4 TB NVMe) costs approximately $1,112 per month on AWS. Egress is charged on top at $0.09 per GB, a significant additional cost for public RPC endpoints with sustained JSON-RPC traffic.
Why are RPC endpoint costs higher than validator costs on cloud?
Egress. RPC endpoints serve JSON-RPC traffic continuously. A moderately-loaded public endpoint generates multiple terabytes of outbound data per month. AWS charges $0.09 per GB after the first GB free tier. That alone adds several hundred dollars per month before any compute or storage cost.
What is the cheapest RPC endpoint hosting option?
Per server, Hetzner's AX162 at $219 per month is the cheapest option, but it sells a whole server rather than a workload and does not bundle egress. Managed infrastructure with a fixed monthly cost and bundled bandwidth removes the egress line entirely, which is the line that dominates the AWS bill for a public endpoint.
What is the difference between burstable and guaranteed QoS for RPC hosting?
Burstable QoS handles most RPC workloads well. CPU sits high under sustained load rather than spiking, which burstable handles. Guaranteed QoS is worth the premium for archive-feature endpoints or any workload where JSON-RPC tail latency matters, because it eliminates throttling under contention.