About MultimodalFlow
An independent engineering publication for multimodal AI deployment, edge vision, and local LLM inference.
Workflow first
Software plus hardware
Local and cloud deployment
MultimodalFlow covers edge AI deployment, local LLM inference, TensorRT optimization, NCCL tuning, vLLM serving, and industrial computer vision. The focus is on NVIDIA Jetson, AGX Thor, DGX Spark, and RTX 3090 workstations — real hardware, real commands, real numbers.
Every benchmark and deployment note is based on actual hardware testing. We publish the commands we ran, the results we got, and the trade-offs we found — so you can reproduce and adapt them for your own setup.
Running models on edge hardware?
Have a benchmark request, deployment question, or setup you want tested? Get in touch.