30+ AI tools, on-demand GPU

Managed AI Platform in 3 minutes

Deploy AI agents, run LLMs, build RAG pipelines, and serve vector embeddings on infrastructure you own. 30+ pre-configured AI tools across 9 cloud providers with on-demand GPU. Full data privacy, predictable cost, no vendor lock-in. From $11 per month.

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AWS Azure Hetzner DigitalOcean Vultr Linode Scaleway Netcup TensorDock On-Premise
Trustpilot 4.6/5 G2 G2 4.8/5 SOC 2 ISO 27001 HIPAA GDPR

What you can run

30+ AI tools, one platform

Pick the layer that fits your use case. Deploy in 3 minutes, scale on demand.

LLM runners

Run open-source models on your VM. CPU for small models, GPU for large.

Ollama, LiteLLM

AI agent platforms

Self-hosted ChatGPT, GPTs, Claude Projects with full data control.

OpenClaw, Hermes, Dify, LangFlow, FlowiseAI, AnythingLLM

Chat interfaces

ChatGPT-style frontends for self-hosted or cloud LLMs.

OpenWebUI, LobeChat, LibreChat

RAG and knowledge

Production RAG with sophisticated document parsing and federated search.

RAGFlow, Onyx (Danswer)

Vector databases

Store and search embeddings. Production-grade vector stores.

Qdrant, Weaviate, Chroma, Milvus, pgvector

Observability + data

Trace prompts, evaluate outputs, label data for fine-tuning.

Langfuse, Label Studio, TEI, Presidio, Mage

Architectural patterns

4 production patterns for AI workloads

Match your use case to a tested stack.

Pattern 1

Self-hosted ChatGPT

Stack: Ollama + OpenWebUI on a CPU VM (cloud LLMs supported, no GPU needed).

Cost: $25/mo. Use: daily team chatbot with privacy.

Pattern 2

Production agent platform

Stack: Dify + LiteLLM + Qdrant + Postgres.

Cost: $80-150/mo. Use: customer support agents, internal helpdesk.

Pattern 3

RAG over documents

Stack: AnythingLLM or RAGFlow + Qdrant + Ollama (embeddings).

Cost: $50-100/mo. Use: chat with your team's knowledge base.

Pattern 4

Local LLM inference at scale

Stack: Ollama on TensorDock GPU + LiteLLM + OpenWebUI.

Cost: $250-1500/mo. Use: 100% offline AI, no third-party APIs.

GPU access

On-demand GPU via TensorDock

For local LLM inference, image generation, and fine-tuning. Hourly billing.

GPU VRAM Hourly cost Models you can run
RTX 3090 24 GB ~$0.20 Llama 3 8B, inference, smaller models
RTX 4090 24 GB ~$0.30 Llama 3 8B, Mistral 7B, faster inference
A6000 48 GB ~$0.50 Llama 3 70B (4-bit quantized)
A100 40 GB 40 GB ~$1.20 Llama 3 70B (FP16), training jobs
A100 80 GB 80 GB ~$1.80 Llama 3 70B + fine-tuning

Available GPUs (RTX 3090, RTX 4090, A6000, A100 and more) and exact pricing vary by region and availability via TensorDock. Hourly billing, always-on instances also available.

Why Elestio

Elestio vs other AI platforms

Feature Elestio Replicate / Modal OpenAI API Self-hosted DIY
Dedicated infrastructure Yes No (serverless) No Yes
Predictable pricing Flat per-hour Per-request Per-token Yes
Pre-configured stack 30+ tools DIY N/A DIY
On-demand GPU Yes Yes N/A Yes
Multi-cloud 9 providers One provider N/A Yes
GDPR / HIPAA Yes Limited Limited Yes
24/7 expert support Yes Tier-based Tier-based None
Deployment time 3 min Variable Instant Days

Compliance

Compliance for AI workloads

When prompts may include personal data, the compliance posture matters. Critical for healthcare, legal, finance, EU public sector.

GDPR + EU residency

Elestio Limited registered in Dublin Ireland. 3 EU-based cloud providers. DPO on staff.

SOC 2 + ISO 27001

Audited security controls for access management, data handling, change management, incident response.

HIPAA-ready

Business Associate Agreement (BAA) available. Encryption at rest, in transit, audit logs.

Build your AI stack on your own infrastructure

Free trial. 30+ AI tools live in 3 minutes. CPU from $11, GPU from $0.30/hr.

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Reviews

Trusted by 10,000+ Developers Worldwide

Real reviews from real users on Trustpilot.

“
★★★★★

"I'm in the IT industry for over 25 years and Elestio stands out in many ways. The managed services are top-notch, support is incredibly fast, and the platform just works. Couldn't be better!"

Conflock IT Director, Germany, Verified on Trustpilot
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FAQ

Frequently Asked Questions

  • Do I need to know DevOps to run AI tools on Elestio?

    No. Each of the 30+ AI tools deploys with one click. SSL, backups, updates, monitoring are handled automatically. You configure the tool itself via its native UI after deploy.

  • Can I run Llama 3 70B without GPU?

    Technically yes on CPU but inference will be slow (5-30 seconds per response). For production use of 70B+ models, GPU is required. Llama 3 8B and Mistral 7B run acceptably on CPU.

  • Is on-demand GPU the same as serverless GPU?

    On-demand means you can spin up and shut down GPU VMs as needed (hourly billing). Serverless means scale-to-zero per request. Elestio offers on-demand GPU via TensorDock. For pure serverless GPU, look at Replicate or Modal.

  • Can I keep my AI data fully private?

    Yes. With Ollama running on your VM, prompts and outputs never leave your infrastructure. Combined with EU data residency, this is the recommended setup for healthcare, legal, and finance.

  • Does Elestio fine-tune models for me?

    Elestio provides the infrastructure. Fine-tuning is done via tools you deploy (Label Studio for data prep, Mage for pipelines, custom training scripts on a GPU VM).

  • Can I bring my own model weights?

    Yes. Upload to your Ollama instance or Hugging Face cache on your VM. Custom Modelfiles for Ollama supported.

Production AI infrastructure in 3 minutes

Skip the CUDA driver setup, the firewall config, the manual SSL. Free trial.

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