Customed version of Google's tflite-micro
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Updated
Jun 2, 2026 - C++
Customed version of Google's tflite-micro
Edge AI with cube:evk
Hardware probe and best-of-N sampling harness in C. Ranks GGUF quantisations against measured VRAM and RAM, drives Ollama or llama.cpp over OpenAI-format HTTP on localhost, and gates every candidate behind a static check and a test run.
High-performance LLM inference platform with vLLM continuous batching achieving 12.3K+ req/sec, 42ms P50/178ms P99 latency, INT8/INT4 quantization (70% memory savings), tensor parallelism across 4 GPUs, and comprehensive monitoring serving 1500+ concurrent users.
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