Train
Multi-node training runs on the same aggregated GPU platform, with checkpointing, elastic scaling and configurable data residency.
Solutions
Built in North America, for
teams shipping AI everywhere.
From foundation-model training to regulated private clouds — purpose-fit solutions on North American-operated compute, built for Canadian teams and serving AI teams across the continent.
From training to serving
One aggregated GPU platform, four ways to ship.
Fine-tune
LoRA and full-parameter fine-tuning with elastic capacity, so experiments don't sit in a queue.
Serve
Serve models to customers across North America with configurable data residency options.
Private cloud
Dedicated, air-gapped racks in secure facilities for regulated and confidential workloads.
By industry
Common patterns we support across teams.
Research & Academia
Reproducible training and benchmarking with portable environments. PIPEDA-aligned storage available.
Financial Services
Low-latency inference and private clouds for regulated workloads with configurable data residency.
Healthcare & Biotech
Confidential training on sensitive datasets in dedicated, access-controlled clusters.
The bottleneck isn't your model
Most training delays come from plumbing, not parameters.
Faster time-to-first-checkpointon B200 vs. legacy cloud GPU
Most provisioned GPUsproductive within the first hour
Most experimentscomplete without re-queuing
We guarantee reserved capacity the moment you book it, subject to partner availability. High-bandwidth interconnect keeps all-reduce off the critical path. Moving training data across borders adds compliance risk — ours stays in-region by default.
From booking to serving
A booking you can stand on. Engineers launch real workloads inside a week — no procurement loops, no bespoke contracts, no hidden bandwidth tier.
The platform standardizes scheduling, observability and tenancy so different teams, regions and partners behave like one cluster.
How it works
From booking to serving in four steps
01
Book capacity
Tell us your workload and we'll size a tailored plan across our aggregated partners.
02
Mount in-region storage
Pull training data from in-region object storage — no cross-border copy.
03
Train & tune
Run distributed jobs with checkpointing and elastic scaling.
04
Serve
Deploy endpoints with configurable, in-region data residency.
Platform capabilities
Infrastructure that gets out of your way.
High-bandwidth interconnect
NVLink nodes with fast fabric for multi-node all-reduce.
In-region storage
PIPEDA-aligned object storage co-located with compute.
Observability
Per-GPU utilization, job queues and cost dashboards.
Integrations
Weights & Biases, Kubernetes, Slurm and GitHub Actions.