AI Acceleration & GPU Compute

Canadian GPU Infrastructure for AI Workloads

High-performance GPU nodes designed for machine learning training, inference, and compute-intensive AI applications. Keep your AI workloads and data in Canada.

Request GPU Access
GPU card and AI cluster diagram with data flow across Canadian infrastructure

Purpose-Built for AI & ML

Modern AI and machine learning workloads demand massive parallel compute. GPUs accelerate training times from weeks to hours and enable real-time inference at scale.

100x Faster

GPU acceleration delivers 10-100x speedup for deep learning training compared to CPU-only infrastructure.

Cost Effective

Pay only for GPU time used. Hourly billing and reserved capacity options to match your workload patterns.

Canadian Data

Train on sensitive datasets with confidence. All compute and data stays within Canadian jurisdiction.

AI Workloads We Accelerate

Deep Learning Training

Train neural networks, transformers, and large language models. Frameworks: PyTorch, TensorFlow, JAX, Keras.

  • Computer vision models
  • NLP and language models
  • Reinforcement learning

Real-Time Inference

Deploy trained models for low-latency prediction. Serve thousands of inference requests per second.

  • Image recognition APIs
  • Chatbots and conversational AI
  • Recommendation engines

Data Science & Analytics

Accelerate data processing, scientific computing, and large-scale analytics workloads.

  • Large dataset processing (RAPIDS, Dask)
  • Scientific simulations
  • Financial modeling

Media & Rendering

GPU acceleration for video processing, 3D rendering, and creative workflows.

  • Video transcoding and encoding
  • 3D rendering and animation
  • Image and video AI enhancement

Enterprise-Grade GPU Hardware

NVIDIA data centre GPUs optimized for AI workloads

A100

Best for training & inference

  • 40 GB / 80 GB VRAM
  • 19.5 TFLOPs FP32
  • 312 TFLOPs Tensor Core
  • Multi-instance GPU support

H100

Latest generation performance

  • 80 GB HBM3
  • 67 TFLOPs FP32
  • 1,979 TFLOPs FP8 Tensor
  • Transformer acceleration

L40S

Optimized for inference

  • 48 GB GDDR6
  • 91.6 TFLOPs FP32
  • 733 TFLOPs Tensor Core
  • Cost-effective inference

Need multi-GPU configurations or clusters? Contact us for custom deployments.

Complete AI Infrastructure Stack

AI infrastructure stack flow from GPU compute to storage, networking, environments, and billing

Pre-Configured Environments

Deploy with CUDA, PyTorch, TensorFlow, and popular ML frameworks pre-installed.

High-Speed Storage

NVMe storage for dataset loading and checkpointing. Optional network storage for shared datasets.

Private Networking

Connect GPU nodes to private VLANs for multi-node training or secure data pipelines.

Flexible Billing

Hourly billing for experiments, monthly for production inference, or reserved capacity for long training runs.

Supporting Canadian AI Innovation

Canada is a global leader in AI research. From Vector Institute to Mila, Canadian AI startups and researchers need infrastructure that keeps data local while delivering world-class performance.

AI Startups

Scale from prototype to production without moving data offshore

Research Labs

Academic and corporate research with Canadian data sovereignty

Enterprise AI

Deploy AI products with compliance and performance guarantees

Ready to Accelerate Your AI Workload?

GPU capacity is limited. Contact us to discuss your requirements and reserve access to Canadian AI infrastructure.