Osmantic

If you're curious about Local AI you should try ODS and see how awesome it's actually gotten We made sure the out of the box experience so good you seriously will be surprised Osmantic/ODS

Turn Any Mac, PC, or Linux Box into a Production-Ready Private AI Server with ODS V3 Turn Any Mac, PC, or Linux Box into a Production-Ready Private AI Server with ODS V3 Self-hosting open-weight LLMs, vision backends, and embedding pipelines often devolves into dependency hell, brittle Docker setups, and fragmented memory allocation across consumer hardware. ODS (Osmantic Distributed Server) aims to solve this with its upcoming V3 release, turning everyday workstations into unified, private AI hubs. Here is a breakdown of why ODS V3 is racking up thousands of stars and how you can run it today. --- TL;DR ODS V3 turns local Macs, Windows PCs, and Linux machines into self-contained, enterprise-grade private AI servers without tedious infrastructure wiring. By abstracting hardware heterogeneity and unifying local model execution under an intuitive, zero-trust API, it slashes cloud inference costs to zero while keeping sensitive enterprise data completely on-premise. --- Key Features & Technical Highlights - Universal Cross-Platform Engine: Native support across Apple Silicon (Metal), Linux (NVIDIA CUDA/ROCm), and Windows (DirectML/CUDA) without manual driver wrestling. - Unified AI Microservices: Serves LLMs, vision models, and multi-modal embeddings behind a drop-in OpenAI-compatible API interface. - Zero-Config Dynamic Resource Allocation: Automatically senses available VRAM/unified memory and dynamically offloads layers to maximize throughput without triggering Out-Of-Memory (OOM) panics. - Local-First Security Architecture: Designed around zero-telemetry, strict network isolation, and fine-grained API key access control for private enterprise environments. - V3 Pre-Release Performance: Optimized quantization loading (GGUF, AWQ, EXL2) delivering low-latency inference on consumer-grade hardware. --- Quick Start ODS V3 is lightweight and Python-driven. You can spin up your local instance in minutes: # 1. Clone the repository git clone https://github.com/Osmantic/ODS.git cd ODS # 2. Set up virtual environment python -m venv venv source venv/bin/activate # On Windows: venv\Scripts\activate # 3. Install core dependencies pip install -r requirements.txt # 4. Launch the local ODS AI Server python run_ods.py --host 0.0.0.0 --port 8080 Once booted, query your local endpoints using any OpenAI-compatible client: from openai import OpenAI client = OpenAI( base_url="http://localhost:8080/v1", api_key="ods-local-key" ) response = client.chat.completions.create( model="default", messages=[{"role": "user", "content": "Hello, local AI!"}] ) print(response.choices[0].message.content) --- Why It Matters Cloud inference bills grow exponentially, while data privacy risks are forcing teams to rethink public API architectures. ODS V3 is tailor-made for: - Local AI Engineers & Prosumers looking to run zero-cost local agents, code assistants, and retrieval systems. - SMEs & Privacy-Focused Teams handling sensitive financial, medical, or proprietary IP that cannot leave company hardware. - Edge Developers deploying robust, offline-capable inference servers in isolated network environments. --- 🛠️ Recommended AI Stack & Resources Supercharge your local and cloud infrastructure with our curated developer toolkit: - Cloud GPU Hosting: When local VRAM runs out, scale multi-GPU workloads and fine-tuning seamlessly on RunPod—offering affordable on-demand H100s, A100s, and RTX 4090s. - AI Code Editor: Build and debug AI pipelines 10x faster using Cursor—the state-of-the-art AI-first code editor. - Production Vector Database: Scale hybrid search and high-throughput vector retrieval with Pinecone or self-host your application backends via Supabase. - Global Dev Network: Ensure ultra-fast AI weight downloads, reliable Hugging Face connectivity, and secure remote cluster orchestration with WD-Gold Network. - Newsletter Subscription: Subscribe to Local AI Daily to get cutting-edge open-source AI tools, local LLM architectures, and deployment guides delivered straight to your inbox. - Sponsorship & Partnerships: Want to feature your AI platform, dev tool, or infra product to thousands of builders? Reach out at: [fengdahui195@gmail.com](mailto:fengdahui195@gmail.com).

Turn Any Mac, PC, or Linux Box into a Private AI Server: Hands-on with ODS V3 TL;DR ODS (Osmantic Distributed Server) V3 transforms your existing consumer hardware—whether Apple Silicon Mac, Windows PC, or Linux box—into a sovereign, self-hosted AI inference server. It abstracts away complex driver configurations, model orchestration, and API gateways, dropping your self-hosted inference setup time to minutes without costly enterprise infrastructure. --- Key Features & Technical Highlights - Universal Cross-Platform Engine: Native hardware acceleration support across Apple Silicon (Metal), NVIDIA (CUDA), and AMD (ROCm), maximizing throughput on whatever silicon you have available. - Zero-Friction Private Inference: Exposes drop-in OpenAI-compatible REST endpoints, letting you plug your self-hosted setup directly into existing LangChain, LlamaIndex, or autonomous agent workflows. - Optimized Memory Footprint: Automated model quantization and memory paging allow modern 7B–70B LLMs and multimodal models to run efficiently on unified memory or standard consumer GPUs. - Built-in Security & Access Control: Zero-trust multi-client authentication, token rate limiting, and local audit logging ensure sensitive internal data never leaks to third-party endpoints. - Pre-Release V3 Architecture: Completely refactored pipeline optimized for lower TTFT (Time-to-First-Token) and continuous batching under multi-user concurrency. --- Quick Start Getting ODS V3 up and running on your local machine requires only Python and standard tooling. Clone the pre-release repository and run the setup engine: # Clone the repository git clone https://github.com/Osmantic/ODS.git cd ODS # Set up virtual environment & dependencies python3 -m venv venv source venv/bin/activate # On Windows use: venv\Scripts\activate pip install -r requirements.txt # Launch the private AI server python ods_server.py --host 0.0.0.0 --port 8080 --model mistral-7b-instruct Once live, send an OpenAI-compatible request from any terminal or application: curl http://localhost:8080/v1/chat/completions \ -H "Content-Type: application/json" \ -d '{ "model": "mistral-7b-instruct", "messages": [{"role": "user", "content": "Write a python snippet to parse streaming JSON."}] }' --- Why It Matters Cloud inference bills quickly spiral out of control, while data privacy laws strictly limit which data can leave enterprise perimeter networks. ODS V3 bridges the gap between raw low-level runtimes (like llama.cpp or vLLM) and enterprise gateways. Whether you are an engineer building local-first agent workflows, a startup looking to prototype locally before spinning up massive clusters, or an enterprise team handling confidential codebase context, ODS V3 delivers production-grade orchestration right from your desk. --- 🛠️ Recommended AI Stack & Resources - Cloud GPU Hosting: Need more VRAM beyond your local rig? Spin up cost-effective on-demand GPUs with RunPod. - AI Code Editor: Supercharge your development and iterate 10x faster using Cursor. - Production Vector Database: Power your enterprise RAG pipelines with Pinecone or self-host with Supabase. - Global Dev Network: Ensure ultra-fast, unrestricted access to Hugging Face weights, container registries, and remote servers via WD-Gold Network. - Newsletter: Subscribe to Local AI Daily to get weekly deep-dives into open-source models, edge computing, and infra optimization. - Sponsorship & Partnerships: Want to showcase your developer tool or AI infrastructure to thousands of engineers? Contact: [fengdahui195@gmail.com](mailto:fengdahui195@gmail.com).

Turn Any Machine into a Self-Hosted AI Powerhouse with Osmantic ODS V3 TL;DR Osmantic/ODS (Open Data Server) V3 bridges the gap between fragmented local AI tools and enterprise-ready private infrastructure. With over 7.3k stars, it turns standard consumer PCs, Apple Silicon Macs, or Linux servers into unified, production-grade private AI servers—dramatically cutting cloud API bills and removing setup friction. --- Key Features & Benchmarks - Zero-Friction Cross-Platform Engine: Runs seamlessly across macOS (Metal-optimized), Linux (CUDA/ROCm), and Windows (DirectML/CUDA) without manual driver wrestling. - Unified Multi-Modal Serving: Orchestrates LLM inference, embedding generation, text-to-speech, and image generation behind single, standardized endpoint APIs. - Dynamic Model Swapping & Offloading: Intelligently loads and quantizes weights on-demand, maximizing performance on limited consumer VRAM setups (e.g., RTX 3060/4060 or 16GB M-series Macs). - Drop-In OpenAI Compatibility: Exposes fully compatible endpoints (/v1/chat/completions, /v1/embeddings), allowing immediate drop-in replacement for any existing agentic framework, LangChain pipeline, or IDE extension. - Built-in RBAC & Telemetry: Includes local access token management, throughput metrics, and hardware resource monitoring out of the box. --- Quick Start Get ODS V3 up and running on your machine with Python 3.10+: # Clone the repository git clone https://github.com/Osmantic/ODS.git cd ODS # Create and activate virtual environment python -m venv venv source venv/bin/activate # On Windows: venv\Scripts\activate # Install dependencies pip install -r requirements.txt # Launch the ODS private server python -m ods.server --host 0.0.0.0 --port 8080 Once booted, point your client or SDK to http://localhost:8080/v1 to run local models instantly. --- Why It Matters Whether you are an independent developer tired of recurring proprietary API fees, a privacy-conscious enterprise handling sensitive customer data, or an edge-computing enthusiast, ODS eliminates the typical multi-tool sprawl (Ollama + vLLM + custom wrappers). It gives you a clean, unified server architecture running entirely on hardware you already own. --- 🛠️ Recommended AI Stack & Resources - Cloud GPU Hosting: Need extra on-demand compute when local hardware hits capacity? Spin up spot instances with RunPod to deploy massive models on A100s/H100s affordably. - AI Code Editor: Accelerate your AI agent development with Cursor, the AI-first code editor designed to 10x your software shipping speed. - Production Database: Pair your private inference engine with high-performance vector retrieval using Pinecone or self-hosted PostgreSQL via Supabase. - Global Dev Network: Ensure high-speed, secure, and low-latency transfers for multi-gigabyte Hugging Face model weights and cloud server administration via WD-Gold Network. - Newsletter CTA: Subscribe to Local AI Daily to get breaking open-source AI infrastructure breakdowns, hardware benchmarks, and deployment guides delivered to your inbox. - Sponsorship & Partnerships: Want to feature your AI developer tool, hardware, or platform? Reach out at [fengdahui195@gmail.com](mailto:fengdahui195@gmail.com).

Run a Private AI Server on Your Laptop with ODS ODS lets you spin up a local AI stack with a single command that auto-detects your GPU, selects the right model and launches the services. It’s Python-based, open-source and gives you instant chat while the full model downloads in the background. Built by the Osmantic team: Osmantic/ODS

Private AI on your laptop. ODS lets you spin up a local AI stack with a single command that auto-detects your GPU, selects the right model and launches the services. 🍒 Built by the Osmantic team Osmantic/ODS #opensource #python

Turns a PC, Mac, or Linux box into a private AI server. Osmantic/ODS t.co

@uzair__afridi We’re opensource, we welcome PRs Osmantic/ODS

@sanyam1989 We’re opensource, we welcome PRs Osmantic/ODS

What a beautiful looking install script from ODS Osmantic/ODS t.co