SERVER & AI INFRASTRUCTURE

Global compute infrastructure for application, data and AI workloads.

Modern compute, memory, storage, networking and operations layers come together on one managed technical foundation.

SERVER & COMPUTE CAPACITY

Compute layers planned around application and data roles.

Application and API servers, database and cache layers, intensive compute, storage, backup and operations systems are planned together around the project workload.

01

Modern processor infrastructure

Modern multi-core server processors provide high compute capacity for applications, APIs and background workloads.

02

High-capacity memory

Memory resources are planned for databases, caching, analytics and memory-intensive services according to project needs.

03

Fast storage

A fast server storage layer supports applications, databases and I/O-intensive workloads.

04

High-speed networking

A 40G network backbone supports data flow across servers, services and locations.

AI & COMPUTE-INTENSIVE WORKLOADS

AI capability extends beyond the software layer.

AI-enabled applications, model services, image and video processing, data analysis, automation and highly parallel workloads can run securely on BYSU’s managed high-performance AI servers.

  • Model serving and inference
  • Image and video analysis
  • Language and content processing
  • Data analysis and automation
  • Compute-intensive API services
  • Project-specific compute and memory allocation

TECHNICAL LAYERS

One architecture supporting the complete application.

Every layer is designed with the next, keeping performance, security and operations decisions in one context.

  1. 01Application & API
  2. 02Database & Storage
  3. 03Security & Access
  4. 04Server & Network
  5. 05Monitoring & Operations
01

Application runtime

Web, mobile, API and integration components are placed according to the project architecture and growth plan.

02

Database and storage

Data access, integrity and recovery needs are evaluated alongside application criticality.

03

Secure access and network isolation

User, team and system access is separated according to authority boundaries and project dependencies.

04

DDoS and perimeter security

1.6 Tbps of DDoS protection capacity, the network backbone and application controls form a layered approach.

05

Backup and recovery

Backup scope, retention and recovery steps are planned and validated around project requirements.

06

Monitoring and incident management

Application and infrastructure signals follow the operations plan; incidents move through a recorded assessment and resolution flow.

07

Project-led scaling

Capacity decisions are updated using measured demand and planned growth rather than guesswork.

FAQ

Frequently asked about our infrastructure.

How are infrastructure resources allocated to a project?

Compute, memory, storage, network and AI resources are determined by measured load, data requirements, security needs and the growth plan, then managed under BYSU operations.

How is a location selected?

User distribution, access, data security, dependencies and operations requirements are evaluated together.

Is the technical scope identical for every project?

No. Application, data, access, continuity and operations scope is defined around project requirements.

NEXT STEP

Let’s design the technical foundation for your project.

Discuss Your Project