A model is only the beginning.
Build a model-serving environment around your application, with engineering and operations scoped to your needs.
Explore managed ai deployment
CANADA-HOSTED AI · NVIDIA HGX B300Canadian-hosted AI.
Canadian-hosted AI.
Built around you.
Managed model deployment and custom AI services for your business, supported by planned NVIDIA HGX B300 infrastructure in Toronto, Canada.
Toronto deployment planned. Discuss requirements and upcoming capacity with us.NVIDIA HGX B300The planned compute foundation
8 GPUsWithin one HGX node
NVLink / NVSwitchConnected GPU architecture
Hosted in CanadaToronto deployment planned
HOW WE CAN WORK TOGETHERThe right engagement.
The right engagement.
For your next AI workload.
From a managed model environment to dedicated infrastructure for your own engineering team.
Make the model fit the task.
Evaluate and adapt models around your data and use case, with measurable acceptance criteria.
Explore custom model development
Infrastructure for your team.
Discuss reserved GPU capacity for workloads you operate, with allocation, access, and support agreed up front.
Explore dedicated b300 computeTHE B300 FOUNDATIONEight GPUs.
Eight GPUs.
One connected platform.
Our infrastructure plan centers on a complete NVIDIA HGX B300 node. NVLink and NVSwitch provide the GPU-to-GPU communication fabric for demanding multi-GPU workloads.
- Evaluate larger models and demanding inference workloads.
- Match compute allocation to the application and operating model.
- Validate performance against your actual requirements.
Architecture schematic. Final configuration and service availability will be confirmed before contracting.
APPLICATIONS TO EXPLOREStart with the task.
Start with the task.
Build toward the outcome.
Illustrative applications, scoped and evaluated for each customer.
Knowledge and document intelligence
Explore model-backed search, extraction, and assistants that work with your organization’s information.
AI inside your product
Design a serving environment for reasoning, coding, or generation features in an existing application.
Model adaptation and evaluation
Assess baseline models, fine-tuning options, and task-specific quality against measurable criteria.
OUR APPROACHA clear path from
A clear path from
requirements to operation.
Scope, responsibilities, and validation are established before deployment.
Understand
Define the application, model, data boundaries, and success criteria.
Evaluate
Assess the workload, compute needs, deployment design, and support scope.
Deploy
Validate the environment and model against agreed acceptance criteria.
Operate
Agree monitoring, maintenance, ownership, and change procedures.
START A CONVERSATIONLet’s build around
Discuss your AI project