Dedicated AI compute network

Run sensitive workloads on a network of your own

For enterprises, research institutions, and government tenants, ApeTops delivers fully isolated, custom-built AI compute networks — end-to-end segregation, dedicated GPU pools, and white-glove operations for workloads that can't share infrastructure.

Core service pillars

Three layers — network fabric, compute pool, and the security and operations wrapped around them.

Dedicated network architecture

  • Physically isolated fiber, private VLANs, and dedicated IP ranges
  • Hybrid-cloud extension between your sites and our compute regions
  • Latency tuned to under 10 ms across paired regions
  • Bandwidth tiers from 10 Gbps up to 200 Gbps

Dedicated compute resources

  • 100% hardware-isolated H100, H800, A100, A800 clusters
  • On-site edge deployment for local inference nodes
  • NVMe-SSD storage clusters scalable to PB capacity
  • Compute and storage co-located on the same private fabric

Security & operations

  • End-to-end protection: firewall, IDS, DDoS scrubbing, AES-256 encryption
  • Dedicated 1:1 operations team with under-30-minute response
  • Monthly vulnerability scans and performance audits
  • Change-control with full operational audit trail

Why a private network

< 10 ms
Cross-region latency on the dedicated fabric
< 5%
Performance variance under sustained load
99.99%
Network and compute availability SLA
99.9999%
Data durability target on private storage
Physical isolation combined with end-to-end encryption
Custom-built capacity that scales without re-architecting
Dedicated lifecycle service from design to day-2 operations
Contracting through ApeTops US Inc., a Delaware entity

Where it fits

Tenants who need their own infrastructure, not a shared tenancy.

Financial services AI

Risk modeling, fraud detection, and trading-adjacent inference where data residency and isolation are non-negotiable.

Healthcare &amp; life sciences

PHI-bearing workloads, genomics pipelines, and medical-imaging inference subject to strict compliance regimes.

Government &amp; regulated tenants

Agencies and contractors handling sensitive or classified workloads that require segregated infrastructure and controlled access.

Enterprise private AI

Large enterprises building an internal AI platform for proprietary models, data, and downstream business systems.

Service commitments

Engineered targets that show up in every private-network contract.

Availability SLA

99.99% uptime — total annual downtime capped at roughly 52 minutes — with priority incident response under 30 minutes.

Data durability

99.9999% data durability on private storage tiers, backed by erasure coding and operational integrity checks.

Disaster recovery

Cross-region replicas with rapid restore procedures, periodic failover drills, and documented recovery objectives per workload.

Ready to design your private network?

Tell us your sites, throughput, latency targets, and compliance footprint. We'll come back within two business days with a network diagram, capacity plan, and security architecture.