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 (Private AI)
Run LLMs locally—without sending data to the cloud
- Private chat for internal knowledge bases (policies, SOPs, tickets, contracts)
- RAG pipelines: embeddings → vector database → retrieval → tool-calling
- Batch inference and multi-user serving with vLLM / TGI (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
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.
