GPU infrastructure
built for AI.Sovereign · Canadian · Fast
Purpose-built data center for serious AI — NVIDIA H100 clusters, 50kW/rack colocation, managed inference. Entirely within Canada. Your data never crosses the border.
Uptime SLA
Max rack density
p99 inference
PUE rating
GPU Catalog
The hardware that ships models to production
Every GPU node is bare-metal. No shared tenancy. No noisy neighbours. Full root access with custom CUDA environments.
| GPU Model | VRAM | FP16 Performance | Interconnect | Best For | On-Demand Price |
|---|---|---|---|---|---|
Latest GenNVIDIA H100 SXM5 | 80 GB HBM3 | 989 TFLOPS | NVLink 4.0 + InfiniBand HDR | LLM training & fine-tuning | From $3.89/hr |
NVIDIA A100 SXM4 | 80 GB HBM2e | 624 TFLOPS | NVLink 3.0 + InfiniBand HDR | Training & inference | From $2.49/hr |
NVIDIA L40S | 48 GB GDDR6 | 362 TFLOPS | PCIe 4.0 + Ethernet | Inference & fine-tuning | From $1.79/hr |
NVIDIA A10 | 24 GB GDDR6 | 125 TFLOPS | PCIe 4.0 | Cost-efficient inference | From $0.75/hr |
All nodes include: NVMe local storage, redundant 25GbE management, BMC/IPMI remote access, and 24/7 NOC monitoring.
Deployment Options
From single GPU to petabyte-scale clusters
Choose the deployment model that fits your workload — burst on-demand, commit for savings, or bring your own hardware.
On-Demand GPU
For experiments and burst capacity
- Single H100 or A100 nodes
- Hourly billing, no commitment
- Shared InfiniBand fabric
- NVMe block storage included
- REST API + SSH access
- 99.9% uptime SLA
Reserved Cluster
For production training workloads
- 4–64 H100 nodes per reservation
- 1–12 month commitments (up to 40% off)
- Dedicated InfiniBand HDR fabric
- Parallel file system (GPFS / Lustre)
- Priority support + dedicated TAM
- 99.99% uptime SLA
Private Colocation
For your own hardware, our facility
- Bring your own DGX / HGX hardware
- Up to 50kW per rack (liquid or air)
- Redundant 2N power + N+1 cooling
- Cross-connects & carrier-neutral meet-me
- Remote hands + DCIM portal
- Custom SLA negotiated
Why SysBuddies vs. Hyperscalers
Built for AI teams, not AWS billing departments
Public cloud GPU instances are expensive, limited, and jurisdictionally complex. We built the alternative Canadian AI teams actually need.
| Feature | S SysBuddies | AWS / Azure / GCP |
|---|---|---|
| GPU availability | Dedicated allocation, no spot risk | Spot / preemptible — can be terminated |
| Data residency | Canada only, legally binding | "Canadian region" — traffic may leave Canada |
| Networking | InfiniBand HDR (400 Gb/s) — always included | EFA / HPC fabric — extra cost, limited regions |
| Pricing transparency | Fixed per-GPU/hour, no egress surprise | Egress, storage, API calls add 30–60% to bills |
| Customization | Bare-metal, custom OS, custom kernels | Managed VMs, limited kernel/driver control |
| Support | Dedicated TAM on reserved clusters | Ticket queue, hours to days response |
| PIPEDA compliance | Built-in, data never leaves Canada | Requires custom BAAs and legal review |
Facility Specifications
Tier III+ facility.
Zero compromises.
Our Metro Vancouver data center was designed from the ground up for the thermal and power demands of GPU-dense AI workloads — not retrofitted from a legacy telecom facility. Every rack, cable tray, and cooling BTU is optimized for sustained high-density operation.
Use Cases
What teams run on our infrastructure
Foundation Model Training
Multi-node H100 clusters with InfiniBand HDR fabric and parallel file systems. Scale from 4 to 512 GPUs with near-linear efficiency.
Production LLM Inference
Managed inference endpoints with auto-scaling, quantization, and continuous batching. Serve GPT-class models at <50ms p99.
Fine-Tuning & RLHF
Reserved GPU nodes for iterative fine-tuning workflows. Full root access, custom CUDA environments, and integrated experiment tracking.
RAG & Vector Pipelines
High-memory GPU nodes for embedding generation and vector search at scale. Integrate with Pinecone, Weaviate, or self-hosted pgvector.
Regulated Industry AI
Air-gapped private deployments for healthcare, finance, and government. PIPEDA-compliant with full audit trails and data residency guarantees.
Computer Vision at Scale
High-throughput inference for image and video workloads — medical imaging, satellite analytics, industrial inspection — on dedicated GPU nodes.
Onboarding
GPU capacity in 24 hours
No 6-week procurement cycles. No cloud account reviews. Talk to us today, run your first job tomorrow.
Discovery call
30-min call. We scope your workload, recommend GPU tier, and confirm availability.
Agreement
MSA + order form signed digitally. On-demand is same-day; reserved clusters need 2 business days.
Provisioning
Nodes allocated, networking configured, SSH keys loaded. You receive credentials within hours.
First job live
Connect, validate your environment, submit your first training run or inference endpoint.
Hardware & technology partners
Ready to run serious
AI workloads?
Talk to our infrastructure team today. We'll confirm availability, spec the right cluster for your workload, and have you live within 24 hours.