Run Aptos RPC on single-tenant bare metal for performance, access control, and recovery. Provision fast; sync depends on chain state.
- Strong 10 & 25Gbps Network (Metered or Unmetered Options)
- DDoS Protection Included
- 20+ Global Tier III Data Centers
- Free 24/7 Technical Support
- 20+ Payment Methods + Crypto Accepted
- Dedicated Account Manager for Enterprise Clients
Not a shared Aptos RPC provider. You run your own dedicated node with clear ownership boundaries, DDoS protection, 20+ global locations, and 24/7 incident support.
Full Node
- ✔ Single-tenant Dedicated Hardware
- ✔ Full Root Access (SSH)
- ✔ DDoS Protected Network
- ✔ 99.99% Uptime SLA
- ✔ Aptos-Core Installed
- ✔ REST API Enabled
Validator Node
- ✔ Single-tenant Dedicated Hardware
- ✔ Full Root Access (SSH)
- ✔ DDoS Protected Network
- ✔ 99.99% Uptime SLA
- ✔ Staking Support
- ✔ Block Proposal
Archive Node
- ✔ Single-tenant Dedicated Hardware
- ✔ Full Root Access (SSH)
- ✔ DDoS Protected Network
- ✔ 99.99% Uptime SLA
- ✔ Transaction Indexing
- ✔ Token Data API
RedSwitches provides dedicated hardware and networking only. Protocol-level responsibilities such as validator keys, staking, slashing risk, governance participation, and key management remain under customer control.
Aptos Hardware Specs
We guarantee these dedicated specifications (or better) to ensure optimal node performance and stability.
| Node Type | Dedicated Hardware (Storage / RAM) |
|---|---|
| Full Node | 16 Cores / 32 Cores - 32 GB / 64 GB - 2 TB NVMe (40K IOPS) / 3 TB NVMe |
| Validator Node | 32 Cores / 64 Cores - 64 GB / 128 GB - 3 TB NVMe (60K IOPS) |
| Archive Node | Custom |
Discuss Custom Plan
Inquiring about: Node
Aptos-Ready Server Specifications
Aptos mainnet nodes degrade under load when CPU, RAM, or storage IOPS fall short. Aptos recommends separate machines for validator and validator fullnode (VFN) roles. For RPC-only deployments, you can start smaller and scale based on real traffic and benchmarks.
Why Choose RedSwitches for Dedicated Aptos RPC Nodes?
Dedicated RPC Hardware
You get single-tenant bare metal for your Aptos RPC workload. CPU, memory, and storage stay reserved for your node only. This keeps request handling predictable and removes resource contention that slows shared endpoints during peak demand.
Sync-Time Provisioning
You provision fast, then your node syncs based on chain state, hardware, and your configuration. RedSwitches provisions the server with zero setup cost, then you bring the node online on your schedule. This fits launches, migrations, and new regions where time-to-ready matters.
RPC Node Builds
Run a production-ready Aptos RPC node role that fits your traffic pattern. Public fullnode style deployments suit app reads and wallet queries. You keep infrastructure ownership while choosing how to expose endpoints and how to scale capacity cleanly.
Cluster-Ready Pairing
Build an Aptos dedicated node cluster with separate machines for validator and validator fullnode style roles when needed. Dedicated isolation keeps workloads from fighting each other under load and gives you clean fault boundaries during upgrades and troubleshooting.
99.99% Uptime SLA
Your endpoint needs a reliability target you can commit to internally. The 99.99% uptime SLA supports production services where downtime breaks deposits, swaps, analytics, and user sessions. It also sets clear expectations for operations teams and stakeholders.
DDoS Protection
Public endpoints face scanning, abuse attempts, and burst traffic. DDoS protection helps keep your Dedicated Aptos RPC Node reachable during disruptive traffic. You still control firewall policy and exposure choices, but you start with a safer baseline.
Global Tier III Footprint
Deploy in 20+ Tier III data centers so you can place RPC close to users and internal services. This supports multi-region designs and helps you meet latency expectations in the USA, UK, India, and global markets without changing providers.
10Gbps and 25Gbps Options
Choose network capacity that matches your traffic profile. Higher uplinks support heavier request volume and cleaner multi-node layouts. This is useful when your endpoint serves many apps, partner traffic, or high-frequency request patterns.
High-IOPS Storage
Aptos nodes depend on storage speed for state reads and sync behavior. NVMe and SSD options let you prioritize IOPS and throughput, then expand as chain state grows. This matters most for indexing and high-volume read workloads.
DDR4 DDR5 Scaling
Upgrade memory as cache demands rise. DDR4 and DDR5 options give you room to scale read performance and reduce disk pressure. This is a practical lever when your node outgrows its first tier and you want a smooth upgrade path.
Full Access Recovery
KVM, root, and IPMI access on eligible hardware give you direct recovery paths when something breaks. You can troubleshoot boot issues, apply your own OS hardening, and manage upgrades on your terms. This is essential for teams that need operational control.
Crypto Payments Ready
Buy and renew using 20+ payment methods, with crypto accepted. This reduces procurement delays for global teams and helps you provision capacity fast when you need a new region, a standby node, or a bigger server tier.
How RedSwitches Dedicated Aptos Nodes Solve Real Problems
Exchange Wallet Rails
Power deposits, withdrawals, and confirmation checks with a dedicated endpoint you can lock down. This setup favors reliability and clean recovery for incident response when volumes spike. Most teams start with a 32-core server and 64-128GB RAM, then scale CPU and memory as traffic grows.
Wallet App Backend
Mobile wallets generate heavy read traffic with bursty writes during growth waves. A dedicated Aptos RPC endpoint keeps sessions responsive and reduces failed requests as MAUs rise. A practical baseline is 32 cores with 128GB RAM, then increase memory first if reads start to slow.
Trading Bot Stack
Bots need stable latency and fast state reads under load. A dedicated node cuts performance variance and keeps request loops consistent when strategies scale. Many teams begin at 32-48 cores with 128GB RAM on NVMe, and choose 25Gbps when they run high-frequency request patterns.
DeFi Frontend Traffic
DeFi frontends and aggregators see unpredictable demand during launches and market moves. Dedicated resources keep your endpoint steady for swaps, quotes, and state reads when users pile in. Start with 32 cores and 128GB RAM, then add a second node once peak demand becomes repeatable.
Indexing Pipelines
Indexers stress storage and database growth more than most apps. This use case benefits from higher CPU, more memory, and fast NVMe as datasets expand. A strong starting point is 48-64 cores with 128-256GB RAM on NVMe, then scale storage and bandwidth as ingestion rises.
Game Launch Bursts
Games hit RPC in waves during login rewards, mints, and seasonal events. Dedicated nodes keep player sessions stable during sudden surges and marketing-driven spikes. A common starting point is 32 cores with 128GB RAM, then scale horizontally by spinning up nodes in each major player region.
Partner API Delivery
If you expose RPC or data APIs to partners, you need controlled access and predictable performance. Dedicated servers support strict firewall rules, allowlists, and clear separation between partner traffic and internal operations. Many teams start with 32 cores and 64-128GB RAM, then choose metered or unmetered based on steady partner volume.
Multi-Region Failover
Run two nodes in separate regions and route traffic to the healthiest endpoint. This reduces the impact of regional routing issues, upstream outages, or planned maintenance windows. Most teams deploy two matching servers, often 32 cores and 128GB RAM per region, so failover does not change performance profiles.
Validator VFN Pair
Aptos recommends isolating validator and validator fullnode roles on separate machines. Dedicated servers support clean separation and private connectivity between the pair for stability under load. A typical baseline is two servers, each with 32 cores and 64GB RAM, then scale storage and memory as chain state grows.
Dev Staging Prod
Separate environments reduce rollout risk. Keep development and staging isolated from production so testing traffic never harms real users. Teams often run a smaller dev box at 16-32 cores, then reserve production capacity around 32 cores with 128GB RAM for stable app-facing RPC.
Incident Cutover
Keep a standby node ready for fast cutover during OS issues, config mistakes, or unexpected load. Dedicated access supports runbook-driven recovery and reduces time-to-restore. A solid pattern is one production node plus a warm standby in a second region with similar CPU and RAM so switching stays painless.
Compliance Operations
Teams with tighter controls prefer dedicated infrastructure with clear ownership boundaries. You can document recovery procedures, lock down exposure, and apply consistent policies across environments. Many start with a production node sized for their peak traffic, then add a second node for redundancy and separate monitoring to keep audit trails clean.
RedSwitches Dedicated Aptos Nodes Vs Others
| Features | RedSwitches Dedicated Nodes | Other Providers |
|---|---|---|
| BARE METAL PERFORMANCE |
✅ 100% Dedicated Hardware |
❌ Shared VPS / Noisy Neighbors |
| HIGH IOPS NVMe STORAGE |
✅ Optimized for Jellyfish Merkle Tree |
⚠️ Standard SSD / IOPS Bottlenecks |
| APTOS CORE (RUST) STACK |
✅ Native Rust/Move Environment |
❌ Generic Container / Restricted |
| NETWORK UPLINK |
10Gbps / 25Gbps Unmetered Available |
1Gbps / Capped Bandwidth |
| GLOBAL APTOS 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 |
500+
active Aptos nodes
99.99%
average uptime across all Nodes
5 min
average support response time
100%
customer retention rate
4.7
4.9
4.9
FAQs
Shared endpoints throttle, queue requests, and shift performance when other tenants spike traffic. A Dedicated Aptos RPC Node runs on single-tenant hardware, so your CPU, RAM, and storage stay reserved. You control exposure, rate limits, and scaling. This fits production apps that cannot tolerate random latency swings.
Our Dedicated Aptos RPC Node Servers include a 99.99% uptime SLA, zero setup cost, and provisioning aligned to your node sync plan. You also get DDoS protection, KVM, root, and IPMI access for recovery, plus upgradeable DDR4 or DDR5 RAM and NVMe or SSD storage. We offer 20+ Global Data Center Locations, strong 10Gbps and 25Gbps network options, and free 24/7 technical support for infrastructure and provisioning.
Start from your real workload, not TPS marketing numbers. If you expect steady app reads, wallet calls, and occasional spikes, begin with a 32-core server and 64-128GB RAM, then scale memory first when read latency rises. For heavy indexing or analytics, plan for more CPU, more RAM, and NVMe. If you want to verify sizing, you can run Aptos performance benchmarks on the target build before you go live.
A dedicated Aptos RPC node on single-tenant hardware keeps resources reserved, so spikes do not turn into noisy-neighbor slowdowns. You can also scale in two practical ways: upgrade the server tier, or add a second node and split traffic. For launches, a common approach is to deploy a standby node early, then cut traffic over if demand stays high.
Yes. RedSwitches supports multi-region deployment across 20+ Tier III data centers. Many teams run two or three endpoints and route users to the closest region for lower latency. This approach also supports regional redundancy. If one region has routing issues, you can shift traffic to another region fast.
Failover works best when you plan it as an architecture pattern, not an emergency step. We recommend at least two dedicated servers in separate regions for production. Keep one active and one warm. Use health checks and routing to direct traffic to the healthy node. With KVM, root, and IPMI access, you can also troubleshoot and restore a node without waiting for platform-level limitations.
If you need a private endpoint, you can restrict inbound access to your application servers or partner IPs. Keep admin and inspection services closed to the public. If you expose a public REST endpoint, add authentication or rate limits at your edge. This keeps your Aptos RPC usable for real users while reducing abuse risk.
We include DDoS protection at the infrastructure level, which helps keep your public endpoint reachable during disruptive traffic events. You still control how you expose the Aptos RPC service, and you can add your own edge controls for request shaping. This layered approach is what most production teams use.
Aptos applications commonly rely on the REST API for core reads and writes. Many teams also run indexing for analytics, dashboards, and richer queries. On a dedicated setup, you can run the node role you need, and you can also run a separate indexing pipeline when your product requires it. If your workload is indexing-heavy, we recommend dedicated resources for the indexer rather than mixing everything on one box.
Yes. Teams often run testnet for staging releases and mainnet for production. You can deploy separate servers for clean environment separation, or run multiple environments when you have strict isolation at the network and process level. For most production teams, separate machines stay simpler and safer.
You control the upgrade timing and process because you own the server. Most teams follow a safe pattern: update the standby node first, validate sync and RPC behavior, then upgrade the primary node. If you run a two-node setup, you can cut traffic over during maintenance windows with minimal disruption.
You can, but it depends on your load. Indexing and analytics can stress storage and memory, which may hurt RPC latency if everything shares one server. If analytics are critical, we recommend a separate machine for the indexer and keep the Dedicated Aptos RPC Node focused on serving application traffic.
Yes. Aptos recommends resource isolation for validator and validator fullnode roles. RedSwitches can provision two independent dedicated machines to form an Aptos dedicated node cluster. You can keep the validator-to-VFN connection private and expose only what your design requires.
Yes. You get KVM, root, and IPMI access, which matters for production operations. You can harden the OS, control packages, manage kernel updates, and recover from boot-level issues. This is one of the biggest differences between a dedicated server and a managed shared platform.
Yes. RedSwitches supports 20+ payment methods and crypto acceptance. This helps global teams procure infrastructure without delays, especially when you need to add a region, deploy a standby node, or scale capacity quickly during growth periods.
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