VI // TIẾNG VIỆT
N8N-AGENTS // Autonomous AI Workflow Automation

Self-Hosted n8n AI Agents + Local Ollama & Postgres Queue Architecture — VRAMForge

VRAMForge Blueprint: 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. We model the tensor weights, 16K KV-cache buffers, and capacity-matched vendor tiers below using public specifications retrieved on 2026-11-12.

Load N8N-AGENTS Preset in VRAMForge Workbench →

VRAMForge Tensor Weights & 16K KV-Cache Matrix for N8N-AGENTS

Stack Variant Core Weights 16K KV / Runtime Minimum Safe Tier Roofline Speed
n8n Queue Mode + Cloud LLM Webhooks No Local Weights N/A 8 GB RAM (Hostinger KVM 2) 500+ Executions/min
n8n AI Starter Kit + Qwen2.5-7B Q5_K_M 5.4 GB 2.2 GB 16 GB RAM (Hostinger KVM 4) 16 tok/s Tool Calls
n8n Multi-Worker + 14B Agent + Qdrant 10.5 GB 3.8 GB 32 GB RAM (Hostinger KVM 8) 10 tok/s • Unlimited Runs

VRAMForge CLI Bootstrap & KV-Cache Tuning for N8N-AGENTS

# Official n8n Self-Hosted AI Starter Kit (CPU/VPS profile)
git clone https://github.com/n8n-io/self-hosted-ai-starter-kit.git
cd self-hosted-ai-starter-kit
# Launches Postgres, n8n, Ollama & Qdrant on a unified Docker network
docker compose --profile cpu up -d
docker exec -it ollama ollama pull qwen2.5:7b-instruct-q5_K_M

Capacity-Matched Hosts for N8N-AGENTS (2026-11-12 Tariffs) — VRAMForge

TIER #1 // EPYC-KVM8

Hostinger KVM NVMe VPS (Ollama & Docker AI Templates) — VRAMForge

Up to 67% OFF + Extra 20% Partner Discount (Up to 32GB DDR5 RAM + 1-Click Ollama/n8n) (2026-11-12)

Deploy Hostinger ($4.99+/mo) via VRAMForge →
ALT TIER // RYZEN-LOCK

InterServer Dedicated AMD Ryzen & Lifetime Price-Lock VPS — VRAMForge

Zero Renewal Price Hike (Price-Lock Guarantee) + High-Bandwidth Ryzen 64GB–128GB Servers (2026-11-12)

Deploy InterServer ($12+/mo) via VRAMForge →
ALT TIER // NVIDIA-GPU

Vultr Cloud GPU (NVIDIA A16 / L40S / A100 / H100) & HF NVMe — VRAMForge

Fractional & Dedicated NVIDIA Cloud GPUs (16GB–80GB VRAM) • Hourly Billing in SG & Tokyo (2026-11-12)

Deploy Vultr ($24+/mo) via VRAMForge →

VRAMForge Engineering Q&A for N8N-AGENTS