Flowise Hosting
Self-Host Flowise on Dedicated UK GPU Servers
Build and deploy AI agents, RAG chatbots, and LLM workflows with Flowise’s visual drag-and-drop builder — running on your own bare metal GPU hardware with full root access.
What is Flowise Hosting?
Flowise is an open-source, low-code platform that lets you build AI-powered applications — from simple chatbots to complex multi-agent workflows — using a visual drag-and-drop interface. Powered by LangChain and LlamaIndex, it connects LLMs, vector databases, tools, and APIs into production-ready pipelines without writing backend code.
Self-hosting Flowise on a GigaGPU dedicated GPU server means your AI workflows, models, and data stay entirely within your own UK-based environment. Run local LLMs through Ollama or vLLM alongside Flowise on the same machine for maximum performance and zero per-token costs.
With over 100 integrations and support for models like LLaMA, DeepSeek, Mistral, and GPT-compatible endpoints, Flowise is an ideal platform for teams building customer support bots, internal knowledge bases, RAG pipelines, and autonomous AI agents.
Trusted by AI teams, SaaS platforms, and agencies building production chatbots and agentic workflows across the UK and Europe.
Why Build with Flowise?
Flowise combines the power of LangChain with a visual interface — making it easy to prototype, test, and deploy AI applications at production scale.
Visual Drag-and-Drop Builder
Design complex LLM workflows by connecting modular nodes on a visual canvas. No backend code required — just wire up prompts, memory, tools, and retrievers to build production chatbots and agents in minutes.
RAG & Knowledge Retrieval
Ingest PDFs, DOCX, CSV, and web content into vector databases like Pinecone, Qdrant, or Chroma. Build retrieval-augmented generation pipelines that ground LLM responses in your own data for accurate, context-aware answers.
Multi-Agent Systems
Orchestrate multiple AI agents that collaborate on complex tasks — from research and data analysis to customer triage and document processing. Flowise supports sequential and parallel agent workflows out of the box.
100+ Integrations
Connect to OpenAI, Anthropic, local Ollama models, Hugging Face, Google Vertex, and more. Integrate external tools, APIs, SQL databases, Notion, Slack, and Telegram to extend your AI workflows into any system.
API & Embed Deployment
Every Flowise chatflow is automatically exposed as a REST API endpoint. Embed chatbots directly into your website with a single script tag, or integrate via the SDK for full programmatic control.
Observability & Human-in-the-Loop
Full execution traces, Prometheus and OpenTelemetry support, and built-in human review checkpoints. Monitor agent behaviour in production and validate outputs before they reach your users.
Why Self-Host Flowise on a Dedicated GPU?
Running Flowise on your own GPU server gives you performance, privacy, and cost advantages that cloud-hosted plans cannot match.
Complete Data Privacy
Your documents, embeddings, and conversations never leave your server. Run local LLMs via Ollama or vLLM alongside Flowise for a fully air-gapped AI stack — essential for regulated industries and sensitive data.
GPU-Accelerated Local Inference
Run LLaMA, DeepSeek, Mistral, or any open-weight model locally on the same server as Flowise. Zero network latency between your workflow engine and your LLM — just point Flowise at localhost.
Flat Monthly Pricing
No per-token fees, no prediction limits, no surprise bills. With a dedicated GPU server you pay a fixed monthly rate and generate unlimited tokens — ideal for high-volume chatbots and internal tools.
Full Root Access & Control
Install any package, configure Flowise however you need, run background workers, set up reverse proxies, and manage your own SSL. No restrictions, no vendor lock-in, your server, your rules.
Best GPUs for Flowise Hosting
Recommended configurations based on typical Flowise workloads — from lightweight chatbots to multi-agent systems with large local models.
Ideal for Flowise deployments using external APIs (OpenAI, Anthropic) or running lightweight local models like Mistral 7B. 8GB VRAM is sufficient for small RAG pipelines and single-agent chatbots.
Configure RTX 4060 →24GB fits 13B models at full precision or 33B at Q4 — the sweet spot for Flowise workflows that run local LLMs via Ollama. Excellent for RAG chatbots, multi-step agents, and production deployments.
Configure RTX 3090 →Blackwell 2.0 architecture delivers the fastest inference for 70B models at Q2. Ideal for Flowise multi-agent systems serving multiple concurrent users with demanding local model requirements.
Configure RTX 5090 →96GB of VRAM enables 70B models at full Q4 quality or 405B at Q2. Built for enterprise Flowise deployments with multiple concurrent agents, large knowledge bases, and fine-tuned models.
Configure RTX 6000 PRO →Flowise Hosting Pricing
Dedicated GPU servers with full root access. Install Flowise, Ollama, vector databases, and any tooling you need. No per-token fees.
Deploy Flowise in 4 Steps
From order to running chatbot in under an hour.
Choose Your GPU
Pick a server based on whether you’ll run local LLMs alongside Flowise or use external APIs. 8GB is fine for API-only; 24GB+ for local models.
Install Flowise
SSH into your server and install via npm: npx flowise start or use Docker for a containerised setup with persistent storage.
Connect Your LLM
Point Flowise at a local Ollama endpoint, plug in your OpenAI or Anthropic key, or configure any of the 100+ supported model providers.
Build & Deploy
Drag and drop nodes to create your chatflow. Test in the built-in playground, then embed on your site or expose as an API endpoint.
Flowise Integrations & Ecosystem
Flowise connects to the tools and platforms your AI workflows need.
Flowise Hosting Use Cases
Common production deployments running on GigaGPU dedicated GPU servers.
Customer Support Chatbots
Build RAG-powered chatbots that answer customer questions using your documentation, help articles, and product knowledge base — embedded directly into your website or app.
Internal Knowledge Assistants
Ingest HR policies, technical documentation, and company wikis into a vector store. Give employees an AI assistant that can surface accurate answers from internal sources instantly.
Autonomous AI Agents
Design multi-agent workflows that research, analyse, and act — from lead qualification and data enrichment to document processing pipelines and automated reporting.
SQL & Data Analyst Bots
Connect Flowise to your database and let users ask questions in natural language. The agent translates queries to SQL, executes them, and returns results with explanations.
Flowise Hosting — Frequently Asked Questions
Everything you need to know about self-hosting Flowise on dedicated GPU hardware.
http://localhost:11434 as the LLM endpoint. This gives you zero network latency between Flowise and your model, with all data staying on the same machine.npm install -g flowise then npx flowise start. For production deployments, Docker is recommended for easier updates and persistent storage. Our knowledgebase has step-by-step guides for both methods.Available on all servers
- 1Gbps Port
- NVMe Storage
- 128GB DDR4/DDR5
- Any OS
- 99.9% Uptime
- Root/Admin Access
Our dedicated GPU servers provide full hardware resources and a dedicated GPU card, ensuring unmatched performance and privacy. Perfect for self-hosting Flowise, Ollama, vector databases, RAG pipelines, and any AI agent workflow — with no shared resources and no token fees.
Get in Touch
Have questions about which GPU is right for your Flowise deployment? Our team can help you choose the right configuration for your agent complexity, model sizes, and concurrency requirements.
Contact Sales →Or browse the knowledgebase for setup guides on Flowise, Ollama, and more.
Start Hosting Flowise Today
Flat monthly pricing. Full GPU resources. UK data centre. Build and deploy AI agents, RAG chatbots, and LLM workflows in under an hour.
