Hello everyone,
We’ve been developing a sovereign orchestration framework called HumAI, designed to extend the capabilities of NVIDIA HPC SDK and fine-tuned LLMs into a unified, real-time orchestration layer.
The system integrates BPMN/DMN workflows with CUDA-based orchestration logic to dynamically manage GPU resources, synchronize multi-node inference loops, and close the gap between human decision systems and accelerated computing pipelines.
In essence, HumAI introduces Orchestration Intelligence — a meta-layer that turns accelerated computing into an adaptive, self-regulating ecosystem. It manages workload distribution, inference health, energy thresholds, and human-in-the-loop feedback in real time.
Our stack runs with multiple NIM microservices and Hyperstack fine-tuned models, orchestrated through the NVIDIA HPC SDK for optimal compatibility across DGX and edge environments.
I’d love to exchange insights with the community about how orchestration logic can evolve as part of the accelerated computing stack — especially in hybrid and quantum-ready settings.
Happy to share performance logs, architecture outlines, or orchestration BPMN examples if this aligns with ongoing work here.
Quantum-ready tomorrow. HumAI-ready today.