Engineering Insights
Deep dives, benchmarks, and architecture guides from the team building local-first AI infrastructure.
Running LLMs Locally: A Performance Benchmark
speedWe benchmarked Llama 3, Mistral, and Phi-3 across consumer and enterprise hardware. Latency, throughput, and memory results for your deployment strategy. · 2 min read
Zero-Trust AI: Building Inference Pipelines That Never Leak
shield_lockA practical guide to designing inference architectures where sensitive data never leaves your perimeter. From model quantization to encrypted memory management. · 2 min read
WebGPU for ML Engineers: From CUDA to the Browser
developer_boardWebGPU is production-ready. We walk through porting a real transformer inference pipeline from CUDA to WebGPU, with code samples and gotchas. · 1 min read
GDPR & AI: What Your Legal Team Isn't Telling Engineering
gavelThe regulatory landscape for AI data processing is shifting fast. We break down the technical requirements that GDPR Article 22 imposes on inference pipelines. · 2 min read