Size & source
Map your models, users, budget, and site requirements. Compare supplier configurations and confirm the exact bill of materials.
GPU accelerators / Blackwell Ultra
NVIDIA B300.
Discuss Blackwell Ultra configurations for larger inference and AI infrastructure projects.
Configuration, availability, and commercial terms confirmed by quotation.
START WITH THE WORKLOAD
The right fit
starts with the details.
Demanding inference deployments with clear capacity, networking, and facility requirements.
Deployment approach
Supplier-confirmed server systems and supported integration options.
What we assess with you
- Exact system configuration and lead time
- Rack power, cooling, and networking
- Inference-engine and model compatibility
Specifications, availability, lead times, and commercial terms are confirmed with suppliers at quotation.
FROM REQUIREMENT TO RUNNING SYSTEM
A clear scope, from the start.
- 01
Build a workload and capacity brief for supplier quotations.
- 02
Confirm installation prerequisites and the support boundary.
- 03
Commission the agreed system and validate the target workload.
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.