Size & source
Map your models, users, budget, and site requirements. Compare supplier configurations and confirm the exact bill of materials.
CPU platforms / Vera
NVIDIA Vera CPU platforms.
Explore Vera-based CPU platform requirements as part of a compatible AI infrastructure design.
Configuration, availability, and commercial terms confirmed by quotation.
START WITH THE WORKLOAD
The right fit
starts with the details.
Platform planning for workloads and systems that support the Vera CPU architecture.
Deployment approach
Supplier-confirmed integrated platforms; compatibility assessed before quotation.
What we assess with you
- CPU architecture and application support
- Supported system and accelerator pairing
- Confirmed supplier specifications and availability
Vera is a CPU platform, not a GPU. We confirm compatible systems and supply options before making a commercial offer.
FROM REQUIREMENT TO RUNNING SYSTEM
A clear scope, from the start.
- 01
Review the software and workload compatibility requirements.
- 02
Confirm the relevant platform and supplier bill of materials.
- 03
Scope deployment, configuration, and support responsibilities.
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.