Comparable baseline harnesses, activation scoring, evidence rows, and protected tuning gates.
Research partner scope
The larger mind above edge deployment.
- AI Expert partner architecture - long-context research workflows, hard problem surfaces, evidence memory, tool use, and continuity.
- Active support lanes - transformer internals, quantum/circuits, frontier math, biosignals, biology/allostery, environment/materials, and medical infrastructure.
- Model lane - Nemotron/Nemo and Hermes/Nous baselines before adapter or tuning claims.
- Deployment relationship - larger research partner runs on local/dedicated compute; compact builds can install down into Sovereign Edge.
Evidence anchors
AI, quantum, health, math, biology, and environment lanes stay connected.
Real data and controls before public-support language gets stronger.
Hard problem surfaces kept in the active roadmap instead of future-only language.
Circuit carrier and quantum-access rows tied back to the same state-path discipline.
NVIDIA fit
Infrastructure for repeated validation and partner surfaces.
DGX Spark
Founder-lab scale validation, reruns, compact cluster path, and local model work inside space and energy limits.
NeMo + Nemotron
NVIDIA-native model training, evaluation, co-development, and proof-lane packaging.
CUDA-Q
Quantum/circuit carrier lane for the formal and hardware-facing proof surfaces.
BioNeMo
Biology, allostery, structural, and molecular continuation lanes.
Partner action
Discuss the AI Expert research partner buildout.
For NVIDIA, Nous/Hermes, lab, or domain-partner review, use this lane to discuss local model validation, Nest support lanes, evidence memory, and protected tuning paths.