Dedicated Sui RPC Node Servers

With Dedicated Sui RPC Node Servers, you run your own Sui RPC node on single-tenant hardware. Shared Sui RPC providers place many apps on the same pool, so traffic spikes can trigger throttling and inconsistent latency. Dedicated Sui Nodes give you predictable compute, RAM, and NVMe IOPS, plus full control over access rules, upgrades, and workload separation. [Image of dedicated single-tenant RPC architecture versus shared multi-tenant RPC pool]

Yes. Most apps should plan for gRPC now, and GraphQL RPC where it fits. Sui is shifting away from legacy JSON-RPC, and GraphQL RPC is currently in beta. Use gRPC when you need low latency, high throughput, and streaming-friendly data paths. Use GraphQL RPC for structured queries in dashboards, wallets, and analytics where it fits your data model and rollout plan. If you tell us your read patterns, we map the right interface and spec for your Sui RPC workload.

Yes, and you should plan capacity for it. gRPC indexing increases disk usage and adds a write-heavy load while indexes build and retention windows expand. This is where sui node requirements matter most because storage and IOPS drive stability. On Dedicated Sui RPC Node Servers, you can isolate indexing behavior through disk layout choices and keep production RPC traffic stable during index build phases.

For production full node use, a common baseline is 8 physical cores, 128GB RAM, and 4TB NVMe, then scale based on retention, query volume, and indexing needs. Heavy backfills, explorers, and analytics often need more NVMe headroom and stronger CPUs. We size your Dedicated Sui Nodes based on your actual endpoints, expected request rate, and whether you need indexing-heavy workloads on the same node.

Use cursor-based pagination and request only what your app needs per call. Large reads can time out when you pull wide result sets in one response, especially during peak usage. We recommend strict limits, caching where it makes sense, and splitting heavy queries across services. If your app runs frequent queries, Dedicated Sui RPC Node Servers give you the predictable performance profile to tune those patterns without fighting shared limits.

Yes, and it is a clean way to protect user-facing performance. Many teams run one Sui RPC node for app traffic and a second node for checkpoint backfills, event scans, and indexing tasks. This reduces noisy internal jobs from affecting public APIs. RedSwitches can provision Dedicated Sui Nodes per role, so your production endpoints stay responsive while data pipelines run continuously. [Image of architecture separating RPC traffic from indexing workloads]

We include a 99.99% uptime SLA for infrastructure availability. You also get root, KVM, and IPMI access to reduce incident time when the OS or node process needs recovery. If you choose managed service, you also get operational help that reduces downtime risk through monitoring and upgrade support. For mission-critical launches, we recommend redundancy planning across two Dedicated Sui RPC Node Servers.

We start by sizing based on peak demand, not averages. Spikes often hit object reads, transaction status checks, and event tracking at the same time. Dedicated infrastructure removes shared throttling, and NVMe-backed storage keeps read paths consistent under concurrency. If you expect a big event, tell us early so we can right-size Dedicated Sui Nodes and reduce p95 slowdowns during the surge.

The fastest path is provisioning based on sync time and starting from a recent snapshot. This avoids long initial sync paths that waste time and disk. We confirm region, spec, managed or unmanaged, and your access rules, then deploy your Dedicated Sui RPC Node Servers accordingly. You get a production-ready endpoint once the node is synced and verified against the expected chain progress.

Yes. Dedicated servers give you straightforward upgrade paths because you are not stuck inside a shared plan tier. If your app grows, we adjust CPU, RAM, and storage based on what is actually limiting you, usually NVMe IOPS, retention, or indexing load. When needed, we use a parallel-node approach so your Sui RPC endpoints stay live while you shift traffic to the upgraded node.

Use two regions: one primary for main traffic and one secondary for failover and overflow reads. This reduces latency for global users and limits the impact of regional incidents. For product teams, this translates into fewer user-visible outages and better consistency during spikes. RedSwitches makes this practical with 20+ data centers and Dedicated Sui Nodes built for predictable performance. [Image of multi-region failover architecture for RPC nodes]

Unmanaged gives you dedicated hardware, root access, KVM, IPMI, DDoS protection, and network choices so your team runs everything end to end. Managed adds setup help, monitoring, upgrade assistance, and operational support around the node lifecycle. Both options keep you on dedicated infrastructure, so your Sui RPC node has consistent resources and predictable behavior under load.

Yes. Many teams keep Sui RPC endpoints private and expose access only to app servers, CI, or partner IPs. You can enforce firewall rules, restrict inbound access, and allowlist known sources. This reduces abuse risk and keeps the endpoint clean for production use. If you need public access, you can still limit it with rate controls and strict observability.

Sui nodes must stay current to remain compatible with the network’s protocol changes. In managed mode, we assist with upgrade planning, apply updates in a controlled way, and verify sync health after changes. In unmanaged mode, we provide the infrastructure and access you need to run upgrades on your schedule. Either way, Dedicated Sui RPC Node Servers give you the operational control to avoid surprise downtime.

We treat observability as part of running stable Dedicated Sui Nodes. You should track checkpoint progression, sync lag, RPC latency, error rates, and storage growth, especially if indexing is enabled. Managed plans can include active monitoring and alerting support. Unmanaged customers can integrate their own monitoring stack while still using KVM/IPMI for fast recovery when issues appear.

You get root access for full control, KVM for console-level troubleshooting, and IPMI for out-of-band power and recovery actions. This matters when a node becomes unresponsive or needs a clean reinstall. These controls reduce incident time because you do not depend on shared provider tooling. They are a core reason many teams move from shared Sui RPC providers to Dedicated Sui RPC Node Servers.