1. Describe the workload
Tell us the software, models, camera streams, datasets, users, deadlines, and output requirements.
How to buy
Start with the workload, not a parts list.
IronGPU purchases begin with a system review so GPU, CPU, memory, storage, network, power, software role, and chassis choices fit the real use case.
2. Review the environment
We review space, power, cooling, rack needs, network speed, storage expectations, and support access.
3. Build the configuration
The GPU platform is configured as a complete system, not disconnected parts.
4. Confirm the quote
You receive a practical quote focused on system role, deployment needs, and serviceability.
5. Build and validate
Systems are assembled with attention to compatibility, firmware, layout, thermal behavior, and expected operation.
6. Deploy with purpose
IronGPU can support installation planning, remote access, integration, and future growth.