News
- 🔐 Looking for a security architect who thinks three steps ahead?
🔐 Looking for a security architect who thinks three steps ahead? Meet Amelia - a senior security engineer who uncovers vulnerabilities before they become threats.
- Powering Edge Compute & AI with Cloudflare Workers + Workers AI
If you’re looking to build scalable, low-latency applications with both serverless functions and AI inference, Cloudflare’s developer platform is a compelling choice. By combining Cloudfl...
- 🌐 No borders. No limits. No concerns.
When it comes to software development and IT outsourcing, location should never be a barrier - and with Vauman, it never is.
- 🚀 Meet Elliot - the full-stack solution maker behind seamless, scalable products.
🚀 Meet Elliot - the full-stack solution maker behind seamless, scalable products. From cloud-native architecture to clean, production-ready code, Elliot brings 6 years of experience buil...
- ⚡Introducing Spin: Building High-Performance Microservices with WebAssembly (Wasm)
⚡Introducing Spin: Building High-Performance Microservices with WebAssembly (Wasm) Imagine a framework where microservices are tiny, lightning-fast, sandboxed components that you can wr...
- Putting People First: The Culture Behind Vauman
In the tech industry, long hours and constant pressure are often seen as “normal.” But at Vauman, we chose a different path - one that we’ve held onto for over 20 years.
- 🚀 Meet Mia, our senior cloud engineer with 13 years of hands-on experience building multi-region, serverless, and cost-optimized cloud architectures across AWS, Azure, and GCP.
From high-impact migrations to zero-downtime deployments, Mia has helped companies scale confidently while cutting operational costs and making cloud operations feel effortless.
- This video presents the final results of a fully local RAG setup built with vLLM, OpenWebUI, and Qdrant, running the Qwen 1.7B model.
This demonstration is intended for anyone interested in lightweight, local AI pipelines or exploring the capabilities of Qwen3 1.7B within a RAG workflow.