search
  • Australia (AUD)
  • New Zealand (NZD)
Cart shopping-cart

Generative AI Infrastructure

Secure. Scalable. Enterprise-Ready.

Generative AI is transforming how organisations operate. From knowledge management and automation to customer engagement and product development. Deploying large language models (LLMs) in production requires secure, high-performance infrastructure designed for scale, control, and long-term sustainability.

DiGiCOR designs Generative AI platforms that give you the power of LLMs, without compromising data security or performance.

Build a GenAI Platform

The Enterprise GenAI Reality

Public AI platforms are powerful, but they introduce concerns that impact enterprise adoption.

Data privacy and sensitive information handling

Model control and governance

Regulatory compliance requirements

Network latency and response times

Long-term usage costs and ROI

For many organisations, the solution is GenAI infrastructure.

We design systems that enable innovation while maintaining governance and control.

Enterprise Control

Governance, security, and compliance built-in

LLM Infrastructure

Built for Large-Scale Models

Large Language Models demand high GPU memory, bandwidth, and compute density. We design infrastructure to support your model size and performance requirements.

Core Capabilities

  • High-memory GPUs
  • Multi-GPU configurations
  • NVLink / high-speed interconnects
  • Balanced CPU-to-GPU architecture
  • High-throughput storage

Deployment Options

  • On-prem LLM hosting
  • AI clusters
  • Hybrid AI environments
  • Development + production systems

Whether hosting open-source models or proprietary fine-tuned LLMs, we ensure your infrastructure matches model size and performance requirements.

Fine-Tuning Systems

Custom Models for Competitive Advantage

Fine-tuning unlocks real business value. Fine-tuning workloads require:

Substantial GPU memory

Fast storage for training datasets

Efficient data pipelines

Scalable compute resources

We Design For:

  • ✓ Domain-specific model training
  • ✓ Secure internal dataset usage
  • ✓ Controlled experimentation
  • ✓ Model iteration and evaluation

Your models remain private. Your data remains secure.

Proprietary Models

Build competitive advantage through custom AI

RAG Architecture

Context-Aware AI Systems

Retrieval-Augmented Generation (RAG) systems enhance LLMs by connecting them to structured or proprietary data sources, enabling accurate, grounded responses.

LLM Inference Nodes

High-performance model serving with low latency

Embedding Generation

Vector databases for fast semantic search

Data Integration

Secure connectors to enterprise data sources

Result: AI systems that generate accurate, context-aware responses grounded in your organisation's data.

Designed for Long-Term Viability

Generative AI infrastructure must evolve alongside rapid innovation.

Rapid Model Evolution

Support for next-gen models

Increasing Model Sizes

Scalable architecture

GPU Power Density

Thermal management solutions

Energy Efficiency

Cost optimisation over time

Modular platforms that evolve without requiring constant rebuilds.

Who This Is For

  • 1

    Enterprises building internal AI copilots

  • 2

    Organisations deploying AI-powered customer interfaces

  • 3

    Research teams fine-tuning large models

  • 4

    Businesses requiring strict data governance

Production-Ready AI

We focus on sustainable, enterprise-grade AI — not experimental environments.

Resources & Downloads

Access our collection of whitepapers, brochures, and insights to help you make informed decisions.

Asset Type:
Brand:
DiGiCOR Brochure Brochure

DiGiCOR Brochure

Overview of infrastructure solutions: from GPU servers and AI workstations to scalable storage and edge systems.

DiGiCOR Download
Decentralizing Generative AI Inference Whitepaper Whitepaper

Decentralizing Generative AI Inference

On-Device Deployment of Lightweight Open Source GenAI Models, Including Large Language Models (LLMs), Can Improve Accessibility and Latency

Intel Download
GenAI Implementation Solution Brief Solution Brief

Generative AI Implementation

Develop your own generative AI project and run it to address your organisation needy

HPE Download

Assess Your Generative AI Readiness

Planning to deploy GenAI across your organisation?

✓
Identify infrastructure, security, and governance gaps
✓
Validate whether public, private, or hybrid GenAI is right for you
✓
Design a scalable, secure GenAI platform aligned to your data
✓
Built and supported locally by DiGiCOR
Download Generative AI Readiness Checklist Request a Generative AI Readiness Assessment
AI

Generative AI Readiness Checklist

Assess infrastructure, security, and governance readiness for production GenAI deployments.

Infrastructure & Compute Readiness
RAG & Data Architecture Planning
Security & Governance Controls

Deploy AI with Confidence

Whether you're launching a new AI application or optimising an existing system, we design inference environments that deliver consistent performance under real-world conditions.

Send Us a Message

Our Partner Stores

Browse all brands
Adlink AMD ASUS Gigabyte Hitachi Vantara HPE Intel Juniper Networks NVIDIA QNAP Seagate Supermicro TrueNAS Ubiquiti Vertiv Adlink AMD ASUS Gigabyte Hitachi Vantara HPE Intel Juniper Networks NVIDIA QNAP Seagate Supermicro TrueNAS Ubiquiti Vertiv