SECURE AI, HPC & BUSINESS CONTINUITY
Critical
Infrastructure. Built
for Performance
and Resilience.
Dayo-Tech designs secure, high-performance infrastructure
for organizations where availability, control, data protection
and operational continuity are part of the architecture—
not afterthoughts.
SECURITY PERIMETER
PRIMARY
Production Environment
AI / HPC compute
Performance storage
High-speed network
REPLICATE
SECONDARY
Recovery Environment
System replication
Application failover
Protected copies
PERFORMANCE
SECURITY
RESILIENCE
01 — THE CHALLENGE
Performance Is Only Valuable
When the Environment Is Available.
Mission-critical infrastructure has to satisfy several requirements at the same time. Each one constrains
the others, and each one has to be engineered rather than assumed.
RECOVERY
Backup alone is not business continuity. Recovery has to be
architected, operationally usable and validated.
AVAILABILITY
Critical systems should be architected to reduce single
points of failure and keep operating when a component
does not.
SECURITY
Sensitive environments require access control,
segmentation, isolation and security designed into
the architecture.
PERFORMANCE
AI and HPC workloads need predictable compute,
networking and storage performance—not peak numbers
on a datasheet.
These are not four projects. They are four properties of one architecture.
02 — WHAT WE BUILD
One Architecture. Multiple
Critical Requirements.
Capability grouped by what it has to deliver—performance on one side, protection and continuity on
the other—designed together around the organization's workloads and operational requirements.
PERFORMANCE LAYER
Designed around the workload
01
AI & GPU Compute
GPU environments for AI and
machine-learning workloads.
02
High-Performance
Computing
HPC clusters for
computational and research
workloads.
03
High-Performance
Storage
Storage architecture for
throughput, capacity and
availability.
04
High-Speed Networking
Low-latency, high-availability
network topologies.
05
Virtualization & Platforms
Virtualization and
container platforms as the
operating layer.
PROTECTION & CONTINUITY LAYER
Designed with it, not after it
06
Security & Isolation
Segmentation, access control
and isolation between
workloads and teams.
07
Backup & Data Protection
Protection architecture for
the data the environment
depends on.
08
Disaster Recovery &
Business Continuity
Recovery architecture,
failover design and validated
continuity.
03 — RESILIENCE BY DESIGN
Designed for Failure.
Engineered for Continuity.
Continuity is not a product at the end of a project. It is a cycle the environment runs
continuously—and the validation step is the one most often missing.
PRIMARY ENVIRONMENT
AI · HPC · Enterprise workloads in production
04
VALIDATE
Prove it still works
Scheduled recovery tests and DR drills verify operational readiness—then
the cycle returns to run with what the drill revealed.
03
RECOVER
Recover on a defined path
Failover and restore procedures are architected in advance, so recovery is
an executed plan rather than an improvisation.
02
PROTECT
Protect what it depends on
Backup, replication and security controls are designed as part of the
environment rather than bolted onto it.
01
RUN
Operate the environment
Monitoring, control and availability design keep the primary environment
running and observable.
CONTINUED OPERATION
Validation feeds back into run — the cycle repeats
Continuity is a lifecycle, not a product.
04 — CONTROLLED ENVIRONMENTS
Control Without Sacrificing Capability.
Constrained environments do not have to be limited environments. The control requirements shape
the architecture—they do not remove the capability.
Enterprise Critical Systems
Infrastructure designed around availability, cybersecurity, data
protection and recovery requirements.
Multi-Tenant HPC
Shared high-performance infrastructure with controlled identity,
permissions and data isolation.
Air-Gapped AI
Isolated AI environments capable of operating without external
network dependencies.
Regulated AI
Highly available AI infrastructure designed around governance,
controlled access and operational requirements.
05 — BUSINESS CONTINUITY
Recovery Must Be Designed
Before It Is Needed.
Four stages, delivered in order. Each one is a design decision with an operational consequence.
BACKUP
â‰
BUSINESS CONTINUITY
Continuity requires recoverability—and evidence that it works.
01 — PROTECT
Backup and data
protection architecture.
What is protected, how often,
where the copies live and how
long they are kept—defined
against the value of the data.
02 — REPLICATE
Secondary
environments and
replication.
System and application
replication to a secondary
environment, sized and
connected for the recovery it
has to support.
03 — RECOVER
Defined recovery and
failover architecture.
The order of recovery, the
dependencies between
systems and the people who
execute it—decided before the
event, not during it.
04 — VALIDATE
Scheduled recovery
tests and DR drills.
Recurring drills verify
operational readiness and
surface the gaps that only
appear when the procedure is
actually run.
06 — PROVEN IN PRODUCTION
Designed for Environments
Where Failure Has Consequences.
Three environments with different constraints—governance, isolation and continuity.
FINANCIAL SERVICES
Governed GPU AI Platform
Highly available GPU AI infrastructure
designed around governance and controlled
enterprise operation.
View Case Study →
GOVERNMENT / CONTROLLED AI
Air-Gapped AI Research
Self-service AI research capability inside
isolated air-gapped infrastructure, with full
isolation between research teams.
View Case Study →
CYBERSECURITY / BUSINESS CONTINUITY
Enterprise Infrastructure & DR
Modernization
Modernized infrastructure combined with
cybersecurity, high availability and a validated
disaster-recovery posture.
View Case Study →
Further Dayo-Tech projects across AI, HPC, enterprise infrastructure and data protection.
All Case Studies →
07 — WHY DAYO-TECH
Why Dayo-Tech for
Critical Infrastructure?
Environments where performance and continuity have to hold at the same time require architecture
across domains—and accountability across all of them.
04
AI, HPC & Enterprise Infrastructure
The ability to combine high-performance workloads with the
operational requirements of an enterprise environment.
03
From Design to Validation
Infrastructure architecture, deployment and operational validation—
including recovery testing where relevant.
02
Experience in Controlled Environments
Work across financial services, government, research and
cybersecurity environments where availability, isolation and
control matter.
01
Architecture Across Domains
Compute, networking, storage, platforms, security and continuity
designed together rather than procured separately.
08 — FAQ
Secure Infrastructure & Business Continuity — Frequently Asked Questions
Backup protects data by creating recoverable copies. Disaster recovery is the architecture and procedure that restores service, systems, applications, networking and access, within defined objectives. Backup is one input to disaster recovery; on its own it does not make an environment recoverable.
Typically when the acceptable downtime for critical systems is shorter than the time it would take to rebuild and restore them, or when regulatory and contractual obligations require a demonstrable recovery capability. The recovery objectives should be defined first; the environment follows from them.
By identifying what actually has to be recoverable, datasets, models, platform configuration and the environment itself, and designing protection accordingly. Not every element carries the same value or the same recovery objective, and protecting all of them identically is usually neither practical nor necessary.
Yes. Dayo-Tech has designed isolated AI research infrastructure operating without external network dependencies, including offline artifact repositories so teams can continue working inside the isolated environment, and isolation between research teams within it.
Through identity and permission models, workload separation and storage design that keeps each team's data accessible only to that team. Shared infrastructure and isolated data are compatible when the isolation is designed into the platform rather than enforced by convention.
On a recurring schedule, and again after significant change to the environment. The interval depends on how critical the systems are and how quickly the environment changes, but an untested recovery plan is an assumption rather than a capability.