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 →Llama 3.1 / 3.3 + Open WebUI Private Team Portal Architecture — VRAMForge
VRAMForge Blueprint: 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. We model the tensor weights, 16K KV-cache buffers, and capacity-matched vendor tiers below using public specifications retrieved on 2026-11-12.
Load LLAMA-WEBUI Preset in VRAMForge Workbench →VRAMForge Tensor Weights & 16K KV-Cache Matrix for LLAMA-WEBUI
| Stack Variant | Core Weights | 16K KV / Runtime | Minimum Safe Tier | Roofline Speed |
|---|---|---|---|---|
| Llama-3.1-8B + Open WebUI (1–4 Users) | 4.9 GB | 2.0 GB | 16 GB RAM (Hostinger KVM 4) | 16–20 tok/s DDR5 |
| Llama-3.1-8B + Hybrid RAG (8 Users) | 4.9 GB | 4.2 GB | 32 GB RAM (Hostinger KVM 8) | 12–15 tok/s DDR5 |
| Llama-3.3-70B Q4_K_M + WebUI (Team) | 42.8 GB | 6.8 GB | 64 GB VDS (UltaHost) / A100 GPU | 3.6 tok/s VDS • 31 tok/s A100 |
VRAMForge CLI Bootstrap & KV-Cache Tuning for LLAMA-WEBUI
# Docker Compose: Ollama + Open WebUI with persistent volumes
docker network create ai-private
docker run -d --network ai-private -v ollama:/root/.ollama --name ollama ollama/ollama:latest
docker run -d --network ai-private -p 3000:8080 \
-e OLLAMA_BASE_URL=http://ollama:11434 \
-e WEBUI_AUTH=True \
-v open-webui:/app/backend/data \
--name open-webui ghcr.io/open-webui/open-webui:main
docker exec -it ollama ollama pull llama3.1:8b- Hostinger KVM 4 and KVM 8 provide pre-built Ubuntu + Ollama + Open WebUI OS templates so you skip manual Docker & Nginx SSL boilerplate.
- Switch Open WebUI from internal SQLite to PostgreSQL + pgvector if more than 10 employees upload PDFs concurrently.
- Bind Ollama port 11434 strictly to Docker internal network (ai-private) — never expose port 11434 directly on 0.0.0.0 without firewalling!
Capacity-Matched Hosts for LLAMA-WEBUI (2026-11-12 Tariffs) — VRAMForge
UltaHost Dedicated VDS & Bare-Metal (64GB–192GB DDR5) — VRAMForge
Zero CPU Steal Dedicated VDS (32GB–128GB+ DDR5) for 32B/70B GGUF & Enterprise RAG (2026-11-12)
Deploy UltaHost ($37.5+/mo) via VRAMForge →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 LLAMA-WEBUI
-
How much RAM does Open WebUI itself consume on top of Ollama on VRAMForge?
Open WebUI’s Python FastAPI backend + built-in sentence-transformers embedding model uses ~1.6 GB to 2.8 GB RAM. Always budget at least 3 GB extra above raw GGUF weight + KV cache.
-
Can I host our public company AI landing page separately from the inference server on VRAMForge?
Yes — keeping marketing/docs portals on Hostinger Web or ChemiCloud LiteSpeed isolates heavy LLM CPU spikes so public pages always load in <150ms.