RectiCompute Engine

RectiCompute Engine is a high-performance orchestration layer designed specifically for distributed deep learning. By bypassing standard virtualization overhead and communicating directly with hardware clusters, we achieve a significant reduction in training latency.

Architecture Overview

The engine utilizes a custom Kubernetes scheduler that prioritizes GPU-to-GPU data transfer speeds, minimizing the bottleneck often found in standard multi-node setups.

Core Features

• Direct-to-GPU Memory Access: Optimized for H100 and next-gen NPU clusters.
• Dynamic Resource Reallocation: Automatically shifts compute power based on epoch complexity.
• Predictive Cost Modeling: Real-time estimation of training costs across hybrid cloud environments.

Roadmap

Current Phase: Internal Beta (Rectizone Labs only). Planned Public API release: Q3 2026.