Show HN: InstinctFlash – High-Performance Serving Runtime for Robotics Models
Category: ai-ml
Tags: robotics, model-serving, inference-optimization, quantization, gpu
Score: 7.3/10 (Innovation: 7, Technical: 8, Documentation: 7, Utility: 7)
InstinctFlash is a serving runtime for robotics models (VLAs, world-action models) that provides optimized inference on NVIDIA Jetson Thor and RTX GPUs, with FP8 quantization, fused Triton kernels, and a unified Runtime API. It supports multiple model families (pi0.5, GR00T, Cosmos3, LingBot) and exposes both in-process and WebSocket serving compatible with the openpi ecosystem. The project claims significant speedups while preserving task performance, backed by reproducible benchmarks.
Target audience: robotics engineers, ML infrastructure engineers, edge AI developers
Repository: https://github.com/General-Instinct/InstinctFlash · Python · AGPL-3.0 · 200 stars
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