Unleash AI Power with Custom Workstations
Alpha PC builds custom AI workstations in Canada. Built for machine learning, deep learning, and AI development. Experience unmatched performance with enterprise-grade components.
AI Use Cases We Build For
Explore the powerful AI solutions we create for your business needs
Local LLM + RAG
Run LLMs locally without sending data to the cloud
- Private chat for internal knowledge bases such as policies, SOPs, tickets, and contracts
- RAG pipelines: embeddings, vector database, retrieval, tool-calling
- Batch inference and multi-user serving with vLLM / TGI for throughput that feels instant
Computer Vision & Image Processing
Real-time visual intelligence for your applications
- Object detection and classification for quality control
- Facial recognition and biometric authentication systems
- Automated image analysis and content moderation
Natural Language Processing
Extract insights from text at scale
- Sentiment analysis and customer feedback processing
- Named entity recognition and document classification
- Automated summarization and content generation
Popular AI Builds
Hedge Fund Supercomputer
- AI-driven hedge fund
- Capable of quadrillions of floating-point calculations per second
- Thousands of square feet of hardware footprint and datacentre level cooling requirements
Data Science Powerhouse
- Multi-GPU configuration for neural network training
- High-bandwidth memory for large dataset processing
- Built for Rutgers University's Physics and AI training frameworks
Research & Training Workstation
- Designed for machine learning experimentation
- Scalable architecture for growing computational needs
- Advanced cooling system for sustained performance
Choose the right Specs for your AI workload.
| Workload | Workstation GPU Options | Enterprise GPU Options | Memory Target | Keep in Mind |
|---|---|---|---|---|
| Local LLM Inference | RTX 4090 / RTX 5090 / RTX PRO | 24GB–48GB+ | 64GB–128GB | Depends on model size and quantization |
| AI Model Training | RTX PRO / RTX 6000-class / multi-GPU | 48GB+ | 128GB–512GB | VRAM and cooling matter heavily |
| Stable Diffusion | RTX 4080+ / RTX 4090+ | 16GB–24GB+ | 64GB+ | Fast GPU matters more than extreme CPU |
| CAD and Rendering | RTX / RTX PRO | 16GB–48GB | 64GB–256GB | Certified drivers may matter |
| Financial Modeling | High-core CPU + GPU as needed | 24GB+ | 128GB+ | Stability and memory capacity matter |
|
Bulk AI Workstation Procurement
Enterprise |
RTX PRO 6000 Blackwell / RTX 5090 / standardized workstation configs | H200 NVL / B200 / DGX-class options by consultation | Depends on deployment size | Best for system integrators, enterprise teams, labs, and companies buying multiple AI-ready systems. |
GPU recommendations depend on workload, software stack, budget, physical deployment environment, cooling, power, availability, and procurement requirements. Alpha PC can help teams plan workstation-class, multi-GPU, and enterprise AI hardware configurations around real-world use cases.
Get Your Custom AI Workstation Quote
What happens next
We review your workload + budget
You get a recommended spec + quote
We build, test, and deliver
Frequently Asked Questions
Find answers to common questions about our products and services
VRAM is determined by model size + context length + batch size + precision (FP16/BF16/8-bit/4-bit). Tell us your target workload and we’ll recommend a VRAM target with headroom so you’re not re-buying in 6 months.
Yes. Ubuntu builds are common for CUDA + Docker workflows. We can also deliver with Windows OS depending on your toolchain.
Of course we do! We prioritize power delivery, airflow, driver consistency, and sustained load testing so your node stays reliable during long runs.
Yes. Systems are packed for freight and tested before shipping.
Yes! NVMe architecture, RAID where appropriate, plus 10/25GbE if you’re pulling from NAS or lab storage.
