R1-REASONING // Chain-of-Thought LLM
DeepSeek-R1 generates long <think> reasoning traces (often 2,000–8,000 tokens per answer), making KV-cache allocation and DDR5/GDDR6 memory bandwidth far more critical than standard chat models.
Open R1-REASONING Blueprint on VRAMForge →
QWEN-CODER // Private Coding Copilot
Keep proprietary source code 100% off third-party clouds. Pair a fast 1.5B/7B Fill-in-the-Middle (FIM) autocomplete model with Qwen2.5-Coder-32B Q5_K_M for multi-file refactoring.
Open QWEN-CODER Blueprint on VRAMForge →
LLAMA-WEBUI // Private Team ChatGPT Portal
Replace $25/seat/mo ChatGPT Team subscriptions with an encrypted, zero-telemetry Open WebUI workspace backed by Llama 3.1 8B or Llama 3.3 70B.
Open LLAMA-WEBUI Blueprint on VRAMForge →
DIFY-RAG // Enterprise RAG & AI Workflows
Dify Community Edition spins up 9+ microservices (API, Worker, Web, Sandbox, SSRF Proxy, Postgres, Redis, Vector DB, Nginx) requiring disciplined RAM sizing before you even load an LLM.
Open DIFY-RAG Blueprint on VRAMForge →
N8N-AGENTS // Autonomous AI Workflow Automation
Avoid cloud per-execution workflow overages and token bills by running the official n8n Self-Hosted AI Starter Kit (n8n + Ollama + Qdrant + Postgres) on your own KVM NVMe node.
Open N8N-AGENTS Blueprint on VRAMForge →
QDRANT-HNSW // High-Speed Vector Search Engine
Written in Rust, Qdrant delivers sub-5ms semantic search — and with Scalar (int8) or Binary Quantization + on-disk mmap payloads, you can index 10M+ embeddings on affordable NVMe servers.
Open QDRANT-HNSW Blueprint on VRAMForge →
WHISPER-ASR // Speech-to-Text & Meeting ASR
OpenAI charges $0.36 per audio hour ($3,600 for 10,000 call-center hours). Self-hosted Faster-Whisper Large-v3-Turbo processes thousands of hours monthly for a flat server bill.
Open WHISPER-ASR Blueprint on VRAMForge →
FLOWISE-LC // Visual Multi-Agent Builder
FlowiseAI runs on a lean Node.js TypeScript runtime (~650 MB RAM), making it the lightest visual multi-agent orchestrator to pair with Ollama and Qdrant on a single VPS.
Open FLOWISE-LC Blueprint on VRAMForge →