Purpose-built AI training and machine learning workstations for data science, CUDA, PyTorch, TensorFlow, and local LLM inference. Optimised for VRAM, throughput, and stability.
PyTorch
TensorFlow
Select the right tier for local LLMs, model training, inference, and data science. Hand-built in Perth with premium components.
Choose a workstation built for GPU compute, high VRAM workloads, and stable, repeatable training and inference performance.
The best AI & machine learning PC isn’t measured by benchmarks alone-it’s measured by how reliably it sustains GPU clocks, how much VRAM it can feed, and how quickly it can move data through your pipeline. For most modern ML workloads, the GPU is the primary accelerator, so we prioritise NVIDIA RTX performance, VRAM capacity, and clean power delivery.
A strong CPU still matters for data preprocessing, compilation, and keeping GPUs saturated. Pair that with high-capacity RAM for larger datasets and fast Gen4/Gen5 NVMe storage for checkpoints, caching, and rapid experiment iteration. The result is a workstation that trains faster, infers smoother, and stays stable under continuous load.
Whether you’re running local LLM inference, fine-tuning models, or building production-ready pipelines with containers and WSL2, choosing a purpose-built AI workstation helps you iterate faster and reduce downtime.
Express courier delivery included on every workstation Australia-wide. Zero shipping costs, zero hassle.
Total peace of mind with 3+ years of comprehensive manufacturer coverage on all internal components.
100% genuine local stock from AU distributors. No grey imports, only the best Tier-1 hardware.
Every PC undergoes 72+ hours of rigorous performance testing to ensure rock-solid stability from day one.
We never use refurbished or second-hand parts. Every component is brand new with full local warranty.
Expertly hand-assembled in our Canning Vale workshop by technicians who care about craftsmanship.
AI workloads are won and lost on throughput. These workstations are balanced to keep the GPU fed-fast CPU preprocessing, high-speed memory, and NVMe storage that removes I/O bottlenecks.
High performance creates heat, but our tuned cooling keeps your system quiet and stable. Premium thermal compounds and optimised airflow protect both components and concentration.
From local LLM inference to model training and fine-tuning, these systems are configured around RTX performance, VRAM headroom, and cooling that holds boost clocks under sustained compute loads.
Serviceable layouts, dust filtration, and tuned airflow help maintain stability during long training runs. Clean cable management improves cooling performance and makes future upgrades simple.
Expert advice and professional support right here in Canning Vale.
Optimised for training, fine-tuning, inference, and high-throughput data pipelines-built for long, stable runs.
Run local models with confidence. We prioritise VRAM capacity, fast storage, and stable thermals so your prompts, tokens, and context windows stay smooth-without crashes mid-session.
Designed for sustained GPU compute: strong power delivery, tuned cooling, and balanced CPU/RAM so data loading and preprocessing don’t starve your GPU during training.
Keep notebooks, Docker containers, IDEs, and monitoring tools running together. High-speed memory and NVMe storage keep feature engineering, dataset transforms, and experiments responsive.
Built for PyTorch, TensorFlow, CUDA, Jupyter, Docker, and modern ML development workflows on Windows.
Balanced for fast data loading and stable GPU utilisation-ideal for experimentation, training loops, and inference pipelines that rely on consistent throughput.
Configured for GPU acceleration and sustained compute. Strong thermals and power delivery help maintain performance during long training runs and repeated evaluations.
CUDA unlocks RTX compute for deep learning workloads. We optimise around VRAM headroom, Tensor core performance, and I/O speed to reduce training and inference bottlenecks.
Choose a tier based on your model sizes, VRAM requirements, and how hard you push training and inference.
Fast preprocessing, responsive notebooks, and stable compute for iterative experimentation and analysis.
Workstation-grade stability for training, fine-tuning, evaluation, and deployment-focused workloads.
High VRAM and RAM options for larger datasets, longer runs, and repeatable experiments.
Run local inference and build prototypes faster with hardware that’s ready for real workloads, not just demos.
The engineering behind your next AI workstation-built to sustain performance under continuous load.
Fast cores and modern platforms help with data preprocessing, feature engineering, compilation, and overall system responsiveness-especially when running multiple containers and tools alongside training.
RTX GPUs accelerate training and inference with CUDA and Tensor cores. We focus on VRAM headroom, sustained clocks, and cooling-so performance stays consistent across long runs.
More RAM enables larger datasets, bigger batch pipelines, and smoother multitasking. Scale from 32GB for lighter workflows to 64–128GB for heavier datasets and concurrent workloads.
Eliminate bottlenecks with storage speeds up to 7,500MB/s. Instant file saves and near-instant application launches change the way you interact with your workstation.
Your workstation should reflect the quality of your work.
Every tier is just a starting point. Customise your CPU, GPU, and RAM to perfectly match your requirements. Built to any configuration you need.
Expert cable management improves airflow and system longevity, ensuring your workstation stays cool and quiet under heavy loads.
Supporting Australian professionals with local expertise and reliable delivery.
Every system is hand-built in our Perth workshop using locally stocked components, allowing for faster turnaround times and in-person support.
We deliver nationwide with premium couriers. Your workstation arrives ready to plug in and produce, anywhere in Australia, with zero shipping costs.
Dealing with a local Australian business means no overseas call centres. Speak directly to the experts who built your system.
Building high-performance workstations with an uncompromising commitment to quality for over 6 years.
Exceptional Service Rating
Serving Australia & Growing
Brand New Tier-1 Parts
Every single PC undergoes a rigorous multi-day performance burn-in to ensure 100% stability before it leaves our Perth workshop.
We only use locally stocked components from Australian distributors, ensuring full warranty support and genuine parts.
From entry-level design to industrial-grade 3D rendering, we build workstations tailored precisely to your software needs.
Expert answers to common AI workstation questions.
For most PyTorch workflows, prioritise an NVIDIA RTX GPU with enough VRAM for your models, plus a modern multi-core CPU, fast NVMe storage, and 32GB+ RAM. If you train larger models or keep big datasets in memory, 64GB+ RAM helps.
Yes-most deep learning workloads are GPU-bound. CUDA and Tensor cores accelerate training and inference dramatically. The CPU, RAM, and storage still matter for data loading and preprocessing, but GPU performance and VRAM are typically the biggest factors.
32GB is a solid baseline for lighter ML workflows and inference. For training, larger datasets, running multiple containers, or heavier preprocessing, 64GB is a safer target. Power users and research workloads often benefit from 128GB.
Yes. We use standard platforms and quality parts so you can expand RAM, add NVMe storage, and upgrade GPUs as your model sizes and compute needs grow.
Our professional builds are engineered for a 5-7 year primary lifecycle. We use premium components with high endurance ratings to ensure long-term reliability.
Stop losing time to crashes, bottlenecks, and slow experiments. Configure your AI workstation today or talk with our Perth-based team about the right VRAM, RAM, and CPU balance for your workload.
Configure Your AI Workstation