Technology
Local Inference
Local Inference runs AI models (LLMs) directly on your hardware: securing data, cutting cloud API costs, and delivering millisecond-latency performance.
Local Inference shifts the AI compute stack from centralized cloud servers to your local machine (PC, laptop, or edge device). This is a critical move for data governance: your sensitive data, like HIPAA or PII, never leaves your network perimeter. It leverages optimized frameworks, such as `llama.cpp` and tools like Ollama, to run quantized open-source models (e.g., LLaMA 3, Mistral) efficiently on consumer hardware—even Apple Silicon (M-series) or mid-range NVIDIA GPUs (RTX 3060). The result is immediate, offline-capable AI processing, eliminating recurring API fees and network latency for high-speed, controlled operations.
What builders pair with Local Inference
Projects using both technologies. Select a pairing to see a project.
4 more pairings
Pairing: exllamav3
What It Actually Takes to Run Your Own AI Server
Pairing: Gemma 4 31B
What It Actually Takes to Run Your Own AI Server
Pairing: llama
Running quantized LLMs locally
Pairing: ODS
What It Actually Takes to Run Your Own AI Server
Pairing: Open source models
Running quantized LLMs locally
Pairing: quantization
Running quantized LLMs locally
Recent Talks & Demos
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