Building Enterprise AI Rigs with Consumer Hardware

Users building local AI inference rigs can achieve enterprise-level performance with consumer hardware through strategic component selection.

Hardware Configuration:

• 8x AMD Radeon 7900 XTX GPUs: Provides 192GB VRAM for large language models
• PCIe Gen4 x16 Switch Card: Expands consumer motherboard connectivity for multi-GPU setups
• 192GB System RAM: Matches VRAM capacity for optimal data handling

Performance Metrics:

• 437 tokens/second: Prompt processing speed with empty context
• 27 tokens/second: Generation speed at baseline
• 16 tokens/second: Sustained generation with 19k token context loaded

Power Management:

• 900 watts average: Total system consumption during active inference

This $6-7k configuration delivers upgradable, customizable long-context AI inference capability without cloud dependencies, offering flexibility for iterative improvements and specialized model requirements while maintaining stable performance.