AI Workstations

Dedicated Compute Power for Model Development and Experimentation

From model training and fine-tuning to simulation and data preprocessing, AI teams require high-performance systems designed specifically for compute-intensive workloads.

DiGiCOR designs AI workstations engineered for GPU acceleration, memory bandwidth, and sustained performance, enabling faster experimentation and development cycles.

Built for AI Development Workflows

Accelerating the Entire Pipeline

AI development involves more than model training.

Our workstation designs support:

Data preprocessing and augmentation
Model experimentation
Fine-tuning and transfer learning
Local inference testing
Simulation and research workloads

Dedicated AI workstations allow teams to iterate quickly without competing for shared cluster resources.

GPU_CLUSTER_01
GPU 0
87%
GPU 1
92%
Memory
64%
4x
GPU Capacity
256GB
VRAM
10x
Faster Iteration
Optimised for Scale

GPU-Optimised Configurations

Right-Sized Acceleration

We design workstation platforms with:

  • Single or multi-GPU configurations
  • High-memory accelerator options
  • Balanced PCIe lane distribution
  • Optimised airflow for sustained GPU loads

System architecture is tailored to workload type. Whether focused on: computer vision, natural language processing, generative AI, scientific computing, or engineering simulation.

Multi-GPU Support

Scale from 1 to 8 GPUs

Memory Bandwidth

Up to 768 GB/s throughput

Thermal Design

Active cooling for 24/7 workloads

The goal is sustained, real-world performance, not just peak specifications.

Data Pipeline Optimization

Memory & Storage Architecture

AI development frequently requires:

Large RAM Capacity

For preprocessing large datasets

High-Bandwidth Channels

Minimise memory latency

NVMe Scratch Storage

High-speed temporary data

Tiered Storage

Strategies for dataset management

Zero bottlenecks. We architect systems to minimise constraints across the full data pipeline.

Versatile Solutions

When to Choose an AI Workstation

Purpose-built for teams and organisations

Data Science Teams

Rapid iteration on models and experiments

University Research Labs

Flexibility for varied research workloads

AI Startups

Scalable from prototype to production

Engineering Departments

Simulation and analysis acceleration

Media & Creative AI

Video, image, and content generation

Pre-Cluster Prototyping

Validate before scaling to cloud clusters

Isolated, predictable performance in controlled environments, without the complexity of cluster management or shared resource contention.

Enterprise Grade

Reliability & Serviceability

AI workstations must operate under sustained high utilisation. Development downtime slows innovation. Stability matters.

Thermal Stability

Engineered cooling for 24/7 operation

Power Delivery

High-quality PSU and regulation

Upgrade Flexibility

Modular design for future expansion

Component Longevity

Premium components rated for high load

GPU Comparison

Workstation • Consumer Desktop • Integrated

A unified comparison across professional workstation GPUs, high‑end consumer GPUs, and modern integrated GPUs used in portable AI‑capable devices.

GPU Family Peak Compute Memory Architecture Ideal Use Case
Professional Workstation GPUs
NVIDIA RTX PRO 6000 Blackwell ~125 TFLOPS FP32
5th-gen Tensor
96 GB GDDR7
512-bit, very high BW
Blackwell
Latest Gen
Ultra-high-end AI development, complex simulation, large-scale rendering
NVIDIA RTX 6000 Ada ~91 TFLOPS FP32
4th-gen Tensor
48 GB GDDR6 ECC
~960 GB/s BW
Ada Lovelace
3rd-gen RT
Certified CAD/DCC, rendering, simulation, and AI workstation tasks
NVIDIA RTX A6000 Ampere ~38 TFLOPS FP32
3rd-gen Tensor
48 GB GDDR6 ECC
~768 GB/s BW
Ampere
Proven Gen
Proven pro visualization and AI prototyping; excellent FP32 + Tensor balance
AMD Radeon Pro W7900 ~61 TFLOPS FP32
RDNA 3
48 GB GDDR6
~864 GB/s BW
RDNA 3
2nd-gen Ray Accel
Large 3D scenes, heavy visualization, FP32 compute-oriented workloads
Consumer Desktop GPUs
NVIDIA GeForce RTX 5090 100+ TFLOPS FP32
Blackwell Consumer
32 GB GDDR7
Very high BW
Blackwell
Consumer Arch
High-end content creation, real-time 3D, heavy generative AI workloads
Integrated GPUs (Mobile / Thin & Light)
Apple M4 iGPU Efficiency-oriented
Varies by cores
Unified LPDDR5X
CPU/GPU/NPU shared
Apple Silicon
Unified Arch
Portable media creation and on-device ML with long battery life
Intel Lunar Lake Xe2 iGPU Mid-range compute
RT + XMX AI Accel
On-package LPDDR5X
Unified Memory
Xe2
Modern Integrated
Thin-and-light Windows systems with balanced AI and graphics
Snapdragon X Elite (Adreno X1) ~3.8–4.6 TFLOPS FP32
Strong NPU
Unified LPDDR5X
On-device
Adreno X1
ARM-based GPU
Battery-efficient Windows on Arm laptops with strong AI acceleration

Workstation GPUs

Certified, ECC-enabled memory and pro drivers for guaranteed performance and reliability in production workflows.

Consumer Desktop

High raw performance and memory capacity at competitive pricing; ideal for creative professionals and AI developers on budgets.

Integrated GPUs

Power-efficient, perfect for on-device inference and portable ML workloads with battery longevity.

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A+ Workstation AS -531AW-TC
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  • Single
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SuperWorkstation SYS-751A-I
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  • Dual
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INTEL-WS: The Ultimate Workstation for Power and Precision
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  • Single
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TRX50-WS: Unleash Your Creative Potential
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  • ATX
  • Single
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Build a Workstation Engineered for AI Innovation

Whether you're training models locally, fine-tuning generative AI, or running complex simulations, we design AI workstations built for sustained performance and scalability.

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