Size & source
Map your models, users, budget, and site requirements. Compare supplier configurations and confirm the exact bill of materials.
GPU accelerators / Blackwell
NVIDIA B200.
Plan Blackwell-based acceleration as part of a compatible AI server deployment.
Configuration, availability, and commercial terms confirmed by quotation.
START WITH THE WORKLOAD
The right fit
starts with the details.
High-throughput inference and model workloads that benefit from a supported Blackwell stack.
Deployment approach
Integrated server platforms with matching power, cooling, and interconnects.
What we assess with you
- Server platform and software compatibility
- Cooling and facility requirements
- Model precision and serving-engine support
B200 sourcing is scoped as a compatible system configuration; a standalone GPU is not assumed to fit an existing server.
FROM REQUIREMENT TO RUNNING SYSTEM
A clear scope, from the start.
- 01
Assess the workload against available system configurations.
- 02
Coordinate sourcing and site readiness with the system supplier.
- 03
Configure the model-serving stack and operational monitoring.
THE SERVICES AROUND YOUR HARDWARE
More than the compute.
Supply & install
Coordinate hardware supply, delivery, rack or workstation installation, networking, and power and cooling prerequisites.
Configure local inference
Set up supported drivers, CUDA, containers, and serving engines such as vLLM, Ollama, or NVIDIA NIM where suitable.
Validate & support
Check the agreed workload, access controls, monitoring, and recovery procedures. Hand over documentation and scope ongoing support.
From ambition to action
Let’s size the possibilities.
Share your models, expected usage, budget, location, and target deployment window. We’ll confirm the right configuration and sourcing options.