Cluaiz bridges the gap between hardware capability and AI execution. By bypassing legacy hypervisors, container layers, and API bottlenecks, our engine connects directly with your hardware. Whether running models on a consumer laptop or orchestrating a distributed server, Cluaiz ensures efficiency, reliability, and precision.
Direct hardware access delivers maximum TFLOPS. Bypasses virtualization taxes and middleware bottlenecks entirely.
Your data never leaves your private cloud or local ecosystem. Secured via absolute hardware-level isolation.
Eliminates hypervisor licenses and wasted compute power. Every watt is dedicated to pure execution.
Scales seamlessly from consumer laptops to high-density enterprise data centers with unified driver logic.
Cluaiz is a system-level runtime engine that minimizes software overheads by utilizing GPU cores through compute APIs (CUDA, Metal, Vulkan). Compiled in Rust, this modular binary operates without external library dependencies, maintaining a minimal base memory footprint. Its pipeline employs memory-mapped (mmap) bindings to facilitate the streaming and allocation of model weights from local storage directly into system memory. During execution, Cluaiz optimizes the model's computational graph, allowing mathematical operations to be fused and scheduled as native GPU compute shaders. For distributed environments, it features a peer-to-peer connection flow for memory clustering across multiple hardware sources over a local network. Its internal monitor tracks hardware limits, controlling parameter shifting to maintain performance during inference batches.
Direct communication with physical cores eliminates dynamic interpreter taxes and heavy container overhead, enabling immediate native hardware execution.
Architected with a decentralized peer-to-peer network protocol. Individual hardware nodes interconnect to seamlessly pool VRAM across a high-speed data fabric.
The engine dynamically fuses and compiles the computational graph straight into native GPU compute shaders at runtime, mapping perfectly to your hardware core configuration.
Leverages Rust-native compilation structures to isolate execution steps, guaranteeing clean kernel transformations and linear memory performance optimization.
An active sub-microsecond hardware monitor tracks system limits directly at the memory controller, streaming parameters dynamically to prevent Out-Of-Memory (OOM) failures.
"We are building a platform where intelligence is direct and private. From a local workstation to a server—Cluaiz provides an efficient ecosystem where you own your models, extend their capabilities, and automate processes locally."
Reduce dependencies on external APIs. Cluaiz allows you to own your private models and run them on your own hardware.
Designed with a minimal footprint. We ensure performance on any compatible device, avoiding unnecessary software bloat.
Enabling local model skills, database maintenance, and automated system workflows that respect user privacy.
"We build an open, free, and industrial-grade local AI infrastructure for the world. Optimized for all hardware. Designed for complete privacy."
Established as a globally agnostic, high-performance open-source initiative. Cluaiz is dedicated to pioneering decentralized AI infrastructure and private computing. Our registry ensures verified operations and compliance with strict open-source standards. We are committed to establishing a trusted, transparent, and high-performance network, bridging the gap between local optimization and enterprise standards.
Released under the Cluaiz Community Framework, this license guarantees 100% Free access for individual developers and startups. Our charter grants unlimited usage rights, allowing you to build, deploy, and productize software solutions without restrictive royalties. The framework is designed for local deployment, ensuring that commercial entities can leverage our engine while maintaining absolute data privacy. This ensures that the global developer community retains the power to innovate and scale products without proprietary restrictions.
