Intelligent Workload Routing
Continuous telemetry from every node — VRAM latency, thermals, network jitter, matrix-multiplication throughput — drives microsecond-level task placement across heterogeneous GPU fleets.
2 open roles · AI Models & GPU Systems
From slicing research to verifiable execution, AGGX hardens GPU virtualization, parallelism, and attestation into a programmable substrate for AI and beyond.
Fresh capital accelerates the AGGX-DePIN Infra-Engine — automating compute routing, workload verification, and real-time GPU asset token pricing across global heterogeneous GPU clusters, deployed on NVIDIA Blackwell B200.











A compute engine that routes, verifies, and prices AI workloads across global GPU clusters — deployed on NVIDIA Blackwell B200.
Continuous telemetry from every node — VRAM latency, thermals, network jitter, matrix-multiplication throughput — drives microsecond-level task placement across heterogeneous GPU fleets.
Every distributed worker is audited to confirm full-precision matrix operations ran exactly as scheduled, so results can be trusted without re-running the job.
Global spot GPU availability and electricity cost curves are modeled continuously, pricing compute capacity in real time instead of on fixed-rate cards.
