Cluaiz is a fast, easy-to-use, unified native runtime engine built in Rust. Optimized for edge devices, it powers local AI and agentic workflows with native CEL, WASM, and modular plugin support. Our high-throughput inference orchestrator is meticulously engineered to synchronize text, vision, and tool execution into a single unified memory space. Its primary objective is to establish a direct, transparent, and highly optimized bridge between mathematical inference kernels and autonomous agentic workflows, granting developers absolute programmatic efficiency and execution on their own infrastructure.
Direct hardware register access via Rust AVX2 kernels. Bypasses Python execution loops and heavy API middleware bottlenecks entirely.
Your weights and tokens never leave your local environment. Secured via deterministic memory isolation and safe WASM sandboxing.
Eliminates expensive GPU scaling dependencies. Native 1-bit primitives run seamlessly on consumer CPUs with dynamic KV-cache tuning.
Allows in-flight model interruption and dynamic context rescheduling mid-token, without losing the underlying latent memory states.
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's VRAM Arbiter actively monitors memory limits to prevent OOM segment faults, while its JIT tool injection allows dynamic capability swapping at runtime.
Direct communication with physical cores eliminates dynamic interpreter taxes and heavy container overhead, enabling immediate native hardware execution.
An active sub-microsecond hardware monitor tracks system limits directly at the memory controller, evaluating available physical memory before every token generation step to prevent OOM faults.
Token generation can be paused mid-stream to inject custom skills or runtime plugins via CEL under strict Rust memory isolation, then instantly resumed.
Compile-time injection directly into hardware registers allows native bit-math evaluation for 1-bit and 1.58-bit models without floating-point conversion overhead.
Surgical control over low-level compilation limits, unlocking dynamic Flash Attention, speculative decoding, and advanced KV-cache compression techniques.
"We are engineering a zero-telemetry, bare-metal runtime for local AI. From consumer silicon to enterprise nodes—Cluaiz delivers a unified memory architecture where developers maintain absolute algorithmic sovereignty and native hardware execution."
Bypasses external API middle-men. The engine maps models directly into physical memory, granting full local ownership and deterministic execution speed.
Rust-compiled for maximum portability. Optimizes KV-cache and Tensor operations seamlessly across varying hardware tiers without virtualization overhead.
Deeply integrates WASM and CEL plugins, allowing LLMs to execute system-level workflows and tool calls within a strictly isolated, secure sandbox.
"We are forging an industrial-grade, strictly open-source AI infrastructure. Engineered for native silicon execution. Designed for absolute data sovereignty."
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 community 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.
