Technology
Local LLMs
Run powerful open-source LLMs (e.g., Llama 3, Mistral) directly on your local hardware for guaranteed data privacy and near-zero latency inference.
Local LLMs are large language models executed entirely on user hardware (PC, Mac, Linux), completely bypassing third-party cloud infrastructure. This architecture delivers three critical advantages: guaranteed data privacy (HIPAA/GDPR compliance), near-zero inference latency, and the elimination of expensive cloud API fees. Platforms like Ollama and LM Studio streamline the deployment of optimized, quantized models—specifically the 7B and 13B parameter versions of models like Llama 3 and Qwen—allowing developers and enterprises to execute tasks like secure document RAG (Retrieval-Augmented Generation) and private code generation on a single consumer-grade GPU.
What builders pair with Local LLMs
Projects using both technologies. Select a pairing to see a project.
2 more pairings
Pairing: GPU
Running llama3 locally without a GPU
Pairing: Llama 3
Running llama3 locally without a GPU
Pairing: LM Studio
Building a Product Powered by Local LLM's Only - Using LLM's in Cursor
Pairing: NPU
Running llama3 locally without a GPU
Pairing: On-device inference
Running llama3 locally without a GPU
Pairing: Python
Building a Product Powered by Local LLM's Only - Using LLM's in Cursor
Recent Talks & Demos
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