If your application depends on the Solana network, the infrastructure that connects your code to the chain determines whether your product succeeds or fails. Dedicated Solana nodes (more about them here: https://rpcfast.com/dedicated-solana-nodes) are the production-grade answer for teams that have outgrown shared endpoints and need predictable, isolated performance.
This FAQ covers the questions we hear most often from engineering leads and CTOs evaluating their options.
What is a dedicated Solana node, and how is it different from a shared endpoint?
A dedicated node is a bare-metal or reserved-resource server running a full copy of the Solana ledger, allocated exclusively to your organization. No other tenants share the CPU, RAM, network bandwidth, or disk I/O.
A shared endpoint pools your requests with dozens or hundreds of other customers on the same infrastructure. During normal traffic, shared works fine. During a token launch, a liquidation cascade, or an airdrop — when everyone hits the same cluster at once — your requests compete for resources with everyone else’s.
The practical difference: dedicated nodes give you consistent sub-3ms RPC response times regardless of what the rest of the network is doing. Shared endpoints give you variable performance that degrades exactly when you need it most.
Who needs dedicated nodes? Is this overkill for my project?
Not every team needs dedicated infrastructure. Here is a rough decision framework:
- Shared endpoints fit MVPs, testnets, low-traffic dApps, and development environments. If you are doing under 10 million monthly requests and your users tolerate occasional slowdowns, shared is fine.
- Dedicated nodes fit production trading systems, DeFi protocols, analytics platforms, copy-trading bots, wallets with real users, and anything where a failed transaction has a dollar cost attached to it.
Typical dedicated setups maintain stable latency under sustained load, while shared endpoints degrade unpredictably during congestion. If your application is revenue-generating and latency-sensitive, dedicated is not overkill. It is the minimum viable infrastructure.
What hardware does a dedicated Solana node require?
Solana is one of the most resource-intensive chains to run. The RPC Fast full guide breaks down the current requirements:
| Component | Minimum spec (2026) | Recommended for production |
|---|---|---|
| CPU | 16+ physical cores (x86_64) | AMD EPYC or Intel Xeon, high clock speed |
| RAM | 512 GB DDR5 | 768 GB to 1 TB for heavy RPC methods |
| Storage | 2 TB NVMe SSD (Gen4) | 4 TB+ NVMe, hot-swap capable |
| Network | 1 Gbps dedicated | 10 Gbps uplink, redundant ISPs |
| Setup | Bare metal only | Cloud is not viable due to traffic volume and cost |
The RAM requirement is what surprises most people. Certain RPC methods — getProgramAccounts, getTokenAccountsByOwner, getTokenAccountsByDelegate — generate separate indexes in memory. If your application uses these methods, you need a higher-tier server configuration. This is not optional. Insufficient RAM means those calls fail or time out under load.
What is SWQoS, and why does it matter for dedicated nodes?
Stake-Weighted Quality of Service is a Solana protocol feature that reserves 80% of a block leader’s connection capacity for staked validators. Transactions routed through staked nodes get priority access to the leader, which directly increases your first-block inclusion rate.
RPC Fast reports an 83% first-block inclusion rate on their dedicated infrastructure with SWQoS enabled. Without staked routing, your transactions compete for the remaining 20% of leader connections alongside every public endpoint user on the network.
For trading bots, this is the difference between landing a trade and missing it. For DeFi protocols processing liquidations, it is the difference between capturing the opportunity and eating bad debt.
What about gRPC streaming and Jito ShredStream? Do I need those?
It depends on your workload.
- Yellowstone gRPC (Geyser) streams raw validator data — account updates, transactions, slot changes — directly to your application in real time. Instead of polling the node repeatedly (“did anything change?”), the node pushes changes to you the moment they happen. This eliminates polling overhead and gives you fresher data with lower latency.
- Jito ShredStream delivers shred-level data from validators, giving you the earliest possible view of new blocks. For trading desks and MEV strategies, this is the fastest data feed available on Solana.
If you are building analytics dashboards, trading bots, or any application that needs real-time chain state, gRPC streaming is a significant upgrade over standard RPC polling. If you are running a wallet or a dApp with moderate traffic, standard RPC methods are sufficient.
How fast is the setup?
Most managed providers get a dedicated node live within 24-48 hours. Initial ledger sync from scratch takes 24-36 hours on a 1 Gbps link, but managed providers use trusted snapshots to accelerate onboarding.
If you need to scale quickly — say, adding a second node during a traffic spike — providers with pre-synced spare inventory handle this in roughly 15 minutes. That is a meaningful operational advantage over self-hosting, where spinning up a new node means waiting a full day for sync.
What is the difference between a dedicated node and a dedicated cluster?
A dedicated node is a single server. A dedicated cluster is multiple nodes working together — typically with read replicas, failover routing, and load balancing across regions.
For most production workloads, a single dedicated node with provider-managed failover is sufficient. Teams running HFT strategies, multi-region applications, or workloads exceeding 50,000+ RPS typically need a cluster setup with nodes in multiple geographies (EU, US, Asia).
The RPC Fast trading infrastructure guide describes the most advanced setups: staked RPC nodes with direct validator peering, co-located in the same data center as trading logic, combined with Jito bundle submission and ShredStream data feeds. That is the ceiling. Most teams do not need to start there, but it is good to know the path exists.
How do I know when it is time to move from shared to dedicated?
Five signals that your shared endpoint is holding you back:
- Transaction failure rates increase during network congestion
- Your team spends more than 10 hours per month on RPC-related debugging
- Users report intermittent slowdowns or failed actions
- You are hitting rate limits during normal operations
- Your application requires getProgramAccounts or other heavy RPC methods at scale
If three or more of these apply, the shared endpoint is costing you more in lost productivity and user trust than a dedicated node would cost in monthly fees. The math is straightforward.
