Trading leadership
Connect infrastructure variance with execution quality, hedge consistency, fill behavior, and PnL sensitivity.
Benchmark-Driven Infrastructure for Trading Workloads
Find the compute, network path, and runtime that perform best for each trading workload.
HFTCloud benchmarks real compute candidates, network paths, and runtime behavior under one controlled methodology, then deploys the best-performing measured configuration across Managed Cloud, Customer Cloud, or Self-Hosted environments.
Start with one venue, one workload, and one performance objective. The initial benchmark runs alongside the current environment.
5 business daysInitial benchmark sprint for qualified teams
p99+ and jitterTail behavior, stability, and rare events across the full latency distribution
3 operating modelsManaged Cloud, Customer Cloud, or Self-Hosted
Production rolloutThe measured decision becomes a repeatable deployment
Who HFTCloud is for
Built for teams where infrastructure quality affects trading outcomes
HFTCloud gives trading, infrastructure, execution, and data teams one measurable process for selecting, deploying, and revalidating latency-sensitive infrastructure.
Platform and infrastructure teams
Benchmark, select, and deploy latency-sensitive infrastructure without building an internal measurement and orchestration platform.
Market making and execution teams
Reduce jitter and tail events, stabilize quoting and hedging, and control the path between the strategy and the exchange.
Quant and market data teams
Use a reproducible runtime for research, replay, validation, market data processing, and production monitoring.
Infrastructure decisions
The questions HFTCloud makes measurable
Compare compute candidates, network paths, runtime behavior, and deployment models under one controlled methodology.
Which compute candidate performs best for the workload?
Compare actual candidates by observed CPU, memory, network, and host behavior.
Which network path provides the most stable latency distribution?
Compare median, jitter, p95, p99+, outliers, packet behavior, and path diversity in the same measurement window.
How much candidate-to-candidate variance exists?
Measure differences caused by host placement, network topology, contention, and cloud infrastructure.
Which runtime configuration reduces tail latency?
Evaluate CPU, memory, network, timekeeping, and operating-system settings against the target workload.
Which deployment model fits the operating boundary?
Deploy through Managed Cloud, Customer Cloud, or Self-Hosted delivery.
How should performance be revalidated?
Repeat the benchmark when hosts, routes, kernels, or workload behavior change.
HFTCloud platform
One platform from measured selection to production operation
HFTCloud combines infrastructure benchmarking, a latency-oriented runtime, and the control plane required to deploy and revalidate the selected configuration.
Benchmark and selection engine
Measures feasible compute candidates and network paths, then ranks them for the selected venue and workload.
- Current-path baseline
- Candidate-level compute comparison
- Network-path and tail analysis
- Ranked production shortlist
Tuned production runtime
Applies the CPU, memory, network, timekeeping, and operating-system posture required by latency-sensitive workloads.
- HFTKernel runtime layer
- Topology-aware configuration
- Release-aligned measurement tools
- Post-boot validation
Deployment and control plane
Turns the approved benchmark result into a repeatable deployment across Managed Cloud, Customer Cloud, or Self-Hosted environments.
- Workspace and access flow
- Deployment artifacts
- Rollout and validation status
- Rebenchmark capability
Operational flow
From measurement scope to production validation
Each benchmark feeds directly into the deployment and validation workflow, keeping the selected configuration measurable after launch.
Scope
Select the venue, workload, current environment, and the infrastructure question that matters.
Benchmark
Measure the current path and the feasible compute and network candidates under one methodology.
Decide
Receive the ranked shortlist, route notes, runtime recommendation, and expected trade-offs.
Deploy
Launch the approved runtime through Managed Cloud, Customer Cloud, or Self-Hosted delivery.
Validate
Verify the deployed result and keep the infrastructure measurable as the environment changes.
Measured outcomes
Measured outcomes tied to each workload
Candidate selection, runtime behavior, and production repeatability are evaluated separately so every result remains attributable and testable.
Equivalent instances inside the same cloud region can show materially different RTT, jitter, and tail behavior. HFTCloud ranks the exact candidates that can be deployed.
Controlled A/B measurements have shown more than 95% improvement in selected tail-latency metrics for defined workloads. The measurement scope and methodology remain explicit.
The selected configuration is converted into a reproducible runtime, deployment plan, and validation procedure.
Deployment and trust boundary
Choose the deployment and control model your team requires
The measurement workflow remains consistent while infrastructure ownership, billing, access, and operational responsibility change with the selected deployment model.
Managed Cloud
- Infrastructure owner
- HFTCloud
- Billing
- HFTCloud
- Deployment
- Control Panel
- Best for
- Fastest route from benchmark to production
Customer Cloud (BYOC)
- Infrastructure owner
- Customer
- Billing
- Direct cloud billing
- Deployment
- Scoped account authorization
- Best for
- Control with managed orchestration
Self-Hosted
- Infrastructure owner
- Customer
- Billing
- Customer
- Deployment
- Downloaded production package
- Best for
- Maximum isolation and internal control
Scoped accessCustomer-owned credentialsNo strategy code required for the initial benchmarkNDA available for venue-sensitive details
Global market access
One infrastructure layer across the world’s most active trading venues
HFTCloud benchmarks and deploys infrastructure for leading crypto venues across major global trading hubs. Traditional exchange projects are scoped by request.
Top-tier crypto venues
Benchmark and deployment coverage for leading crypto venues, including multi-venue and cross-region workloads.
Global low-latency corridors
Metro, regional, intercontinental, transatlantic, transpacific, and intra-Asia route options for latency-sensitive infrastructure.
Private production connectivity
Private bandwidth, optimized cloud-to-cloud paths, exchange-adjacent infrastructure, route diversity, and dedicated connectivity when required.
Traditional markets by request
Equities, futures, options, FX, commodities, and other traditional trading venues are available for qualified projects by request.
Cloud-to-cloudPrivate bandwidthFiberWirelessHybrid routesColocationMarket data paths
Confidential infrastructure boundary
Exact facilities, route providers, physical topology, available corridors, capacity, and latency matrices are shared after project qualification and, where required, under NDA.
Start with one measured question
Request a benchmark sprint
Qualified teams can start with a five-business-day benchmark sprint. It runs alongside the current environment and produces a reviewed infrastructure recommendation before any production change.
01
Target venue
02
Workload
03
Primary objective
Confidentiality
Public-safe qualification can start without an NDA. Venue-sensitive topology, providers, route details, and latency matrices are shared under NDA when required.
FAQ
Questions teams ask before the benchmark
The benchmark is the constant. The operating boundary and production rollout are selected after the measured result is reviewed.
What does the benchmark measure?
The sprint measures the current production path, feasible compute candidates, network-path behavior, jitter, p95 and p99+ tails, runtime behavior, and the deployment trade-offs relevant to the workload.
Do we need to replace our current infrastructure?
No. The initial benchmark can run alongside the current setup so the team can compare the current path against feasible alternatives before broader changes.
How are Managed Cloud, Customer Cloud, and Self-Hosted different?
Managed Cloud runs on HFTCloud-operated resources. Customer Cloud runs in the customer cloud account with HFTCloud orchestration. Self-Hosted runs inside the customer environment from a production package.
What access does HFTCloud require?
The initial benchmark is scoped around the infrastructure and measurement objective. Strategy code is not required. Customer Cloud uses scoped authorization, while Self-Hosted keeps the runtime inside the customer perimeter.
How does the benchmark move into production?
The ranked shortlist and runtime recommendation are reviewed first. The approved result is then launched through the selected operating model and verified after deployment.
Can we start with one exchange or one corridor?
Yes. One venue, one workload, and one measured question is the recommended starting scope. Additional corridors, venues, and private connectivity are added only after the benchmark shows value.