Heterogeneous State
Normalize compute, accelerator, workload, health, network and security signals across orchestration environments.
NxLogical R&D explores secure, resilient infrastructure control for heterogeneous AI, HPC, Kubernetes, Slurm, hybrid-cloud and distributed computing environments.
RACF is an NxLogical research program investigating whether infrastructure telemetry, workload requirements and security state can be transformed into safe adaptive placement and recovery decisions across existing orchestrators.
The architecture is scheduler-neutral: telemetry is normalized into a common state model, hard security and placement constraints reject prohibited actions, and feasible actions are evaluated by the controller with auditable reason codes.
Current RACF work is prototype R&D. Recovery-time, utilization, security-compliance and decision-latency thresholds are experimental hypotheses—not achieved product-performance claims. NxLogical is building repeatable Kubernetes and Slurm test methods to establish technical feasibility and operating limits.
Normalize compute, accelerator, workload, health, network and security signals across orchestration environments.
Apply mandatory security and placement constraints before optimization or recovery decisions.
Measure failure recovery, contention, stale telemetry, network degradation and combined fault scenarios.
Preserve candidate rejection, reason codes, controller version and state identity for technical auditability.
Investigate a reusable control layer above Kubernetes, Slurm and future infrastructure adapters.
Research organizations, infrastructure operators, technology partners and government integrators interested in resilient AI/HPC infrastructure can contact NxLogical for R&D and teaming discussions.