DeFi hosting with isolated capacity sized for each workload
Run API, RPC, indexing, database, and worker workloads on isolated dedicated servers sized by CPU, RAM, storage I/O, and bandwidth so queue depth, lag, and contention are easier to trace.
Match DeFi infrastructure to workload constraints
Protect API request paths from contention
Isolate API and RPC request paths with reserved CPU and network capacity during sudden concurrency bursts.
Isolate storage I/O for indexing pipelines
Run event ingestion on separate cores and storage so indexing lag points to a measurable bottleneck.
Align memory with hot database working sets
Size database and cache nodes to the active working set, query pressure, and recovery headroom under load.
Plan network capacity around regional bursts
We offer both metered and unmetered bandwidth for public endpoints, data movement, and worker queues.
Available configurations
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Compare production DeFi workloads when choosing infrastructure
Market bursts do not arrive one workload at a time. API concurrency, customer-operated RPC traffic, event ingestion, transaction simulation, database writes, and liquidation queues can climb together. Shared CPU, memory, storage I/O, and bandwidth pressure then turns into slower request paths, rising indexing lag, and harder bottleneck attribution.
At Melbicom, we provide dedicated servers for DeFi with isolated hardware, ready-to-go configurations, custom builds, and regional choices for CPU, RAM, storage, and bandwidth. Teams can assign capacity and spend by service role, while our engineers provide 24/7 technical support for the physical hardware and network infrastructure behind those workloads.
Separate latency-sensitive APIs and RPC-facing services from ingestion, analytics, databases, caches, simulations, and background workers when demand profiles conflict. Consolidate compatible roles when measurements justify it. Your team keeps control of code, protocol logic, data, keys, monitoring, releases, and operations—and a capacity plan it can defend.
Expose bottlenecks in DeFi workloads
Track queue depth, indexing lag, cache headroom, and contention as market load shifts.
Lower API queue depth
Reduced indexing lag
Reduced simulation contention
Measured cache headroom
Workload-aligned capacity spend
Bounded worker concurrency
Match hardware to workload roles
Choose regional CPU, RAM, storage, and bandwidth while your team retains application and data control.
Isolated hardware for critical services
Dedicated capacity for public endpoints
CPU and RAM matched by role
Storage I/O matched by role
Metered and unmetered bandwidth
Dedicated coverage on 5 continents
1000+ ready-to-go server configurations
Custom builds in 3–5 business days
Supported crypto or fiat payments
24/7 technical support for infrastructure
Build around workloads
Map concurrency, memory, storage I/O, bandwidth, and recovery by server role.
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Allocate capacity across APIs, data, and workers
Public API services
Separate request concurrency from ingestion so queue depth stays measurable during market traffic bursts.
RPC-facing services
Run customer-operated RPC software on dedicated CPU, memory, and network capacity near regional demand.
Event indexing pipelines
Route event ingestion off query workloads so indexing lag exposes storage I/O pressure during peak market load.
Transaction simulation
Reserve compute for pre-execution checks so burst demand does not contend with APIs, databases, or background jobs.
Risk calculation workers
Give risk models dedicated CPU and memory around pricing inputs, recalculation cycles, and market bursts.
Liquidation worker pools
Set worker concurrency, queue depth, and network capacity for liquidations while protocol logic stays customer-managed.
Application databases
Match RAM, storage I/O, and recovery headroom to the active working set, write pressure, and restore needs under load.
Caches and analytics
Place hot data near request paths and isolate broad scans when they would compete with latency-sensitive services.
FAQ
Which production DeFi workloads benefit most from dedicated servers?
Does DeFi hosting include application, protocol, and key management?
How should teams size infrastructure for market bursts?
How should APIs, indexers, and workers be separated?
Can compatible DeFi roles share one server?
How do regions affect a DeFi deployment?
What technical support is available?
Are ready and custom configurations available?
How should teams choose metered or unmetered bandwidth?
Can DeFi hosting orders be paid in cryptocurrency?
Choose your configuration
Create an account, review servers, and choose supported cryptocurrency or fiat payments.
Create an account
Plan your deployment
Share concurrency, storage, memory, bandwidth, and recovery needs for a DeFi server hosting plan.
Talk to an expert