AI Inference Servers

Configurable inference hardware sourced by RFQ.

Q&J currently provides hardware sourcing and configurable system RFQ support for AI inference server requirements, including accelerator, CPU, memory, storage, networking, power, chassis, and delivery constraints.

SourcingConfigurable system RFQHardware requirementsWritten expanded scope

Intake

Inference server RFQs need more than a model name.

  • Target workload, model family, batch size, latency goal, and concurrency notes.
  • Preferred accelerator, CPU platform, memory capacity, storage profile, and NIC speed.
  • Power, rack, cooling, noise, location, and delivery constraints.
  • Accepted brands, substitutes, warranty expectations, and compliance restrictions.

Standard Scope

Hardware sourcing and configurable RFQ support

Q&J currently provides hardware sourcing and configurable system RFQ support. Deployment, managed services, performance guarantees, and other expanded services are outside standard public scope unless separately agreed in writing.