AI INFRASTRUCTURE

Design and Operate Secure, Scalable Infrastructure for AI Workloads

AI performance, reliability and security depend heavily on underlying infrastructure. Without the right setup, AI systems become slow, expensive, and insecure. This is not generic IT infrastructure—this is infrastructure purpose-built for AI.

Common Infrastructure Challenges

High Cloud Costs

Cloud bills grow exponentially without proper resource optimization and cost governance strategies.

Slow Model Training

Training jobs take days instead of hours due to suboptimal compute resources and configuration.

Cannot Run GPU Workloads

Existing infrastructure lacks GPU acceleration needed for deep learning and inference workloads.

Security & Sovereignty Risks

Sensitive data in public clouds creates compliance risks and data sovereignty concerns.

Poor Scalability

Infrastructure cannot handle demand spikes, causing performance degradation under load.

Fragmented Environments

Teams work in silos with inconsistent environments, creating operational overhead and drift.

Core Infrastructure Capabilities

Compute & Acceleration

Cloud, On-Prem & Hybrid

Storage, Networking & Performance

Need GPU-Optimized Infrastructure for AI?

Who Benefits from AI Infrastructure

Enterprise AI Teams

Deploy production AI models at scale with infrastructure designed for high availability, security, and compliance requirements.

Research & Development

Accelerate model training and experimentation with GPU clusters optimized for machine learning workflows and rapid iteration.

Regulated Industries

Run AI on-premise with complete data sovereignty, meeting strict compliance requirements for healthcare, finance, and government sectors.

Our 5-Step Infrastructure Approach

1

Infrastructure & AI Workload Assessment

Analyze current environment, AI workloads, performance requirements, data sensitivity, and cost optimization opportunities.

2

Architecture & Platform Design

Design compute, storage, and networking layers with GPU strategies, security controls, and high availability.

3

Implementation & Automation

Deploy cloud and on-prem environments with Infrastructure as Code, automated provisioning, and monitoring.

4

Security, Governance & Compliance

Implement GDPR-aligned data handling, network segmentation, RBAC, audit logs, and regulatory compliance.

5

Optimization & Ongoing Operations

Continuous performance and cost optimization, GPU utilization monitoring, and capacity planning.

What You Receive

AI Infrastructure Assessment
Cloud, On-Prem & Hybrid Architecture Design
GPU & Compute Strategy
Secure Storage & Networking Setup
Infrastructure as Code & Automation
Monitoring & Cost Optimization
Governance & Compliance Controls
Production-Ready AI Infrastructure

Ready to Build AI-Ready Infrastructure?

Talk to Veritaz about designing secure, scalable infrastructure for your AI workloads—your partner for AI infrastructure across cloud and on-prem in Sweden and the EU.