CPU-Distributed AI Execution Platform
CPU-Distributed AI Execution Platform
Run governed, multi-node AI workloads — under your control, on your infrastructure.
SUMO-TX is a CPU-distributed, multi-node AI execution platform designed for organisations that require predictable, auditable, and cost-controlled AI workloads.
Rather than focusing on GPU-centric model training, SUMO-TX provides a deterministic execution layer that orchestrates AI tasks across distributed node environments, ensuring control, traceability, and reliability at scale. Built natively for Microsoft Azure, SUMO-TX enables organisations to run AI workloads within their own subscription, maintaining full ownership of data, execution, and outcomes — without reliance on opaque external systems.
Designed for real-world AI execution — not demo environments.
Distributed Execution
Run AI workloads across multiple CPU nodes (up to 32+ per layer) with explicit orchestration and failure isolation.
Orchestration & Scheduling
Deterministic execution of task graphs with backpressure control, retries, and controlled workflow progression.
Message-Driven Architecture
All components communicate via distributed message passing, ensuring decoupling, scalability, and system resilience.
API-First Control Layer
Full system control via versioned APIs, enabling integration with enterprise systems and automation pipelines.
Sovereign Deployment
Runs entirely within the customer's Azure environment — no external dependency or data leakage.
Audit & Traceability
Every decision and execution path is recorded and traceable, enabling audit, compliance, and replay.
Developed by OrkinosAI Labs | Runs natively on Microsoft Azure