InstinctFlash
High-Performance Serving Runtime for Robotics Models
InstinctFlash is a high-performance serving framework for robotics models from General Instinct (YC P26). It serves eight robotics model families, including pi05, LingBot-VLA, LingBot-VA and GR00T N1.7, through one runtime with Python and WebSocket serving, on NVIDIA Jetson Thor, RTX 5090 and RTX 4090. First shared by its maker on Show HN: https://news.ycombinator.com/item?id=49802789
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Overview
Who is it for?
Robotics teams deploying vision-language-action and other robot models on edge and workstation GPUs.
Problem
Robotics models are slow to serve on edge hardware without custom engines and optimization work.
Solution
Purpose-built engines with fused Triton kernels and FP8, exposed through a single Runtime API.
What makes it unique
Reports up to a 33.78x speedup for LingBot-VA on Jetson Thor, with reproduction instructions.
InstinctFlash FAQ
Which hardware is supported?
NVIDIA Jetson Thor, RTX 5090 and RTX 4090, all through the same Runtime API.
Which models does it serve?
Eight robotics model families, including pi05, LingBot-VLA, LingBot-VA and GR00T N1.7.
What's the license?
AGPL v3.
Details
- Pricing
- Open Source
- Categories
- LLMs & Infrastructure
- Built for
- DevelopersResearchers
- Platforms
- API
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