Hardware-accelerated edge inference chiplet running quantized LLMs locally to eliminate cloud API dependency and latency.

Market Catalyst & News Trigger

"Apple is reportedly cutting budgets for its internal AI usage"

The Workflow Friction

Developers face rising GPU costs for LLM inference, forcing budget cuts and slowing iterative product development cycles.

Problem Summary

Real-world problem signal validation.

One-Shot MVP Builder Blueprint (48 Hours)

PCIe add-in card with NPU co-processor supporting 7B-13B parameter models with <50ms token generation latency for desktop use.

Recommended Developer Tech Stack

• Rust
• C++
• Vitis AI