Web3 hosting that keeps every workload in its lane
Map nodes, RPC services, indexers, databases, caches, and workers to dedicated server capacity sized for resource isolation, clearer performance attribution, and regional growth.
Match Web3 infrastructure to workload bottlenecks
CPU for sustained execution
Keep CPU capacity available for RPC logic, node execution, analytics, and workers without shared-capacity contention.
RAM for active working sets
Size RAM for database working sets, cache hit rates, and processes that must remain resident under peak load.
Storage for state growth
Plan storage for ledger growth, write intensity, re-indexing, and the recovery window your team can accept.
Bandwidth for traffic bursts
Choose region and bandwidth around users, peers, synchronization traffic, and the headroom required for bursts.
Available configurations
Need a Custom Build?
Compare your production Web3 workloads when choosing hosting
Production Web3 stacks rarely share one bottleneck. Public RPC paths need response consistency, nodes and indexers compete for storage I/O, databases absorb writes, and caches protect hot reads. Size each role against its working set, catch-up behavior, and traffic pattern before those peaks collide. This shows which role needs protected headroom during recovery.
Both metered and unmetered bandwidth options are available with our isolated dedicated servers. Configure CPU, RAM, storage, and regional placement, then match compute to execution services, storage I/O to ledger and index growth, and RAM to caches or databases. Separate recovery-heavy jobs when public endpoints need protected headroom.
Build Web3 server hosting around explicit workload roles. Separate noisy or recovery-heavy services, consolidate compatible workloads where headroom is measurable, and expand at the bottleneck. At Melbicom, we support the server and network layer; your team controls node software, keys, data, releases, monitoring, backups, and protocol policy.
Control the bottleneck before it moves
Role-based capacity makes resource pressure easier to detect, explain, and budget.
Clearer resource attribution
Reserved endpoint headroom
Planned storage recovery
Defined workload boundaries
Role-based capacity budgets
Regional placement control
Build the bill of materials by role
Choose dedicated servers for Web3 by CPU demand, memory pressure, storage I/O, bandwidth, and region.
Isolated CPU and memory capacity
Role-specific server configurations
Storage sized for active state
Capacity planned for ledger growth
Bandwidth matched to data movement
Regional placement near users
Intel and AMD options by location
Pay with supported crypto or fiat
1000+ ready-to-go server configurations
Custom builds in 3–5 business days
Map your Web3 workload
Share workload roles, resource constraints, and target regions for a practical server plan.
Talk to an expert
Workload boundaries for production Web3 stacks
RPC-facing services
Reserve CPU, RAM, and bandwidth for public RPC endpoints, keeping catch-up and indexing out of response headroom.
Blockchain nodes
Size CPU, storage, and bandwidth for chain state, synchronization, pruning policy, and projected ledger growth.
Indexing pipelines
Match CPU, RAM, and storage I/O to ingestion, reprocessing, and queries while isolating production APIs.
dApp backend services
Run application APIs, gateways, and automation apart from node maintenance, analytics, and recovery work.
Databases and caches
Protect active working sets with RAM and storage I/O, while reserving headroom for writes, compaction, and failover.
Analytics and workers
Allocate CPU and RAM to ETL, reporting, and automation without disrupting customer-facing services or database workloads.
Gateway services
Place gateways near users and peers, then choose bandwidth for request volume, upstream traffic, and regional growth.
Storage and data services
Plan for dataset growth, read patterns, retention, and recovery while keeping storage-heavy roles operationally separate.
FAQ
Which Web3 workloads benefit most from dedicated infrastructure?
Does Web3 hosting include node, application, and key management?
How should teams size nodes and indexers?
When should Web3 workloads share one server?
How do regional choices affect Web3 services?
Can we pay for Web3 hosting with cryptocurrency?
Can you provide custom server configurations?
What technical support do you provide?
How should teams choose metered or unmetered bandwidth?
Can a Web3 deployment expand across regions?
Start with a server plan
Create an account, review ready configurations, and match capacity to your first workload role.
Create an account
Plan your architecture
Share roles, constraints, and target regions so our team can help map the infrastructure layer.
Talk to an expert