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FlashRT is a high-performance realtime inference engine for small-batch, latency-sensitive AI workloads. The flagship integration is production VLA control for Pi0, Pi0.5, GROOT N1.6, and Pi0-FAST. Also support llm e.g, qwen3.6-27B
THOR — Native macOS control center for NVIDIA Jetson devices. Manage power, Docker, ROS2, ANIMA AI modules, cameras, GPIO, and more. No terminal needed.
Measured sm_110 / sm_110a facts for NVIDIA Jetson AGX Thor: tensor-core capability matrix (2:4 sparsity works on plain sm_110; tcgen05 + NVFP4 block-scale is sm_110a-only), CUDA 11/12->13 migration breaks, CPU ISA, and the bandwidth roofline. With probes.
Docker packaging to run antirez/ds4 (DwarfStar / DeepSeek-V4-Flash) on NVIDIA aarch64 unified-memory boxes - tested on Jetson AGX Thor (sm_110 , CUDA 13), persistent disk KV cache.
AI drawing robot: a 4-DOF Waveshare RoArm-M2-S draws with a felt pen on a vertical board, driven from a Jetson AGX Thor — backlash-compensated IK, closed-loop encoder verification, and wrist-cam visual servoing.
Real-world voice AI model benchmarks on NVIDIA Jetson Thor (JetPack 7.0, Blackwell GPU, 122GB unified RAM). Comparing STT, TTS and omni models for low-latency voice assistants.
Container packaging for HART (mit-han-lab/hart) text-to-image generation on NVIDIA aarch64 CUDA / unified-memory boxes - tested on Jetson AGX Thor (sm_110), includes a Blackwell compute-capability fix for the kernel build.