Beste VPS voor Ollama in 2026
Ollama lets you run large language models locally. Vergelijk VPS and GPU cloud providers for the best Ollama hosting experience. We hebben de top 5 VPS-providers getest om te bepalen welke de beste prestaties en waarde biedt voor het uitvoeren van Ollama.
Hetzner is de Beste VPS voor Ollama
Met concurrerende prijzen vanaf $7.50/mo, uitstekende prestaties en Europese datacenters, Hetzner biedt de beste waarde voor het hosten van Ollama.
Hetzner VPS Bestellen →Wat is Ollama?
Ollama is an open-source tool that simplifies running large language models on your own hardware. It supports models like Llama 3, Mistral, CodeLlama, and Phi-3, wrapping complex model management into easy commands. You can run AI inference privately without sending data to third-party APIs.
Running LLMs requires significant compute resources. The right VPS with enough RAM and CPU cores makes the difference between responsive AI inference and slow generation. For larger models, GPU-equipped instances from providers like vast.ai dramatically improve performance.
Zelfhosting Ollama op een VPS gives you full control over your data, better performance, and lower long-term costs compared to managed solutions. In deze gids vergelijken we de top VPS-providers om u te helpen de juiste voor uw behoeften te kiezen.
Minimale Serververeisten voor Ollama
| Resource | Minimum | Recommended |
|---|---|---|
| RAM | 8 GB | 16 GB |
| CPU | 4 vCPU | 2+ vCPUs |
| Storage | 50 GB | 40+ GB NVMe |
| OS | Ubuntu 22.04+ | Ubuntu 24.04 LTS |
Top 5 VPS Providers voor Ollama Vergeleken
We hebben Ollama ingezet bij elke provider en starttijd, responslatentie en resourcegebruik gemeten. Dit zijn de resultaten:
Pros
- Unbeatable price-to-performance ratio
- European data centers with strong privacy
- NVMe storage on all plans
Cons
- No US data centers
- Control panel less polished than competitors
All Hetzner Plans
| Plan | CPU | RAM | Storage | Price | |
|---|---|---|---|---|---|
| CX22 | 2 vCPU | 4 GB | 40 GB NVMe | $4.15/mo | Get Plan → |
| CX32 | 4 vCPU | 8 GB | 80 GB NVMe | $7.49/mo | Get Plan → |
| CX42 | 8 vCPU | 16 GB | 160 GB NVMe | $14.49/mo | Get Plan → |
| CX52 | 16 vCPU | 32 GB | 320 GB NVMe | $28.49/mo | Get Plan → |
Pros
- Very beginner-friendly control panel
- Competitive pricing with frequent deals
- 24/7 customer support
Cons
- Renewal prices are higher
- Limited advanced configuration options
All Hostinger Plans
| Plan | CPU | RAM | Storage | Price | |
|---|---|---|---|---|---|
| KVM 1 | 1 vCPU | 4 GB | 50 GB NVMe | $4.99/mo | Get Plan → |
| KVM 2 | 2 vCPU | 8 GB | 100 GB NVMe | $6.99/mo | Get Plan → |
| KVM 4 | 4 vCPU | 16 GB | 200 GB NVMe | $12.99/mo | Get Plan → |
| KVM 8 | 8 vCPU | 32 GB | 400 GB NVMe | $19.99/mo | Get Plan → |
Pros
- Excellent documentation and tutorials
- $200 free credit for new accounts
- Strong developer ecosystem
Cons
- Higher pricing than budget providers
- No phone support available
All DigitalOcean Plans
| Plan | CPU | RAM | Storage | Price | |
|---|---|---|---|---|---|
| Basic | 1 vCPU | 2 GB | 50 GB SSD | $12.00/mo | Get Plan → |
| Regular | 2 vCPU | 4 GB | 80 GB SSD | $24.00/mo | Get Plan → |
| CPU-Optimized | 2 vCPU | 4 GB | 25 GB SSD | $42.00/mo | Get Plan → |
| Memory-Opt | 2 vCPU | 16 GB | 50 GB SSD | $84.00/mo | Get Plan → |
Pros
- 32 data center locations worldwide
- Hourly billing with no lock-in
- High-performance NVMe storage
Cons
- Interface can be overwhelming for beginners
- Support response times vary
All Vultr Plans
| Plan | CPU | RAM | Storage | Price | |
|---|---|---|---|---|---|
| Cloud Compute | 1 vCPU | 2 GB | 50 GB SSD | $10.00/mo | Get Plan → |
| Cloud Compute | 2 vCPU | 4 GB | 80 GB SSD | $20.00/mo | Get Plan → |
| High Frequency | 2 vCPU | 4 GB | 64 GB NVMe | $24.00/mo | Get Plan → |
| Bare Metal | E-2286G | 32 GB | 2x 480GB SSD | $120.00/mo | Get Plan → |
Pros
- One-click deploys from Git
- Auto-scaling based on usage
- No server management needed
Cons
- Can get expensive at scale
- Less control over infrastructure
All Railway Plans
| Plan | CPU | RAM | Storage | Price | |
|---|---|---|---|---|---|
| Hobby | Shared 8 vCPU | 8 GB | 100 GB | $5.00/mo | Get Plan → |
| Pro | Shared 32 vCPU | 32 GB | 250 GB | $20.00/mo | Get Plan → |
| Enterprise | Custom | Custom | Custom | Custom | Get Plan → |
Architectuur Overzicht
Een typische Ollama deployment op een VPS uses Docker for easy management and Nginx as a reverse proxy:
Ollama Implementatie Architectuur
Hoe Installeer Je Ollama op een VPS
Stap 1: Provision a high-memory VPS
Kies uw VPS-provider (we raden Hetzner aan voor de beste waarde), selecteer een Ubuntu 24.04 LTS-image en configureer uw SSH-sleutels. De meeste providers hebben dit binnen 2 minuten gereed.
Stap 2: Install Ollama and pull models
SSH in uw server, installeer Docker en Docker Compose en haal de Ollama containerimage op. Configureer uw omgevingsvariabelen en Docker Compose-bestand volgens de officiële documentatie.
Stap 3: Configure API access and security
Stel Nginx in als omgekeerde proxy met SSL-certificaten van Let's Encrypt. Wijs uw domein naar het server-IP, en uw Ollama instantie zal toegankelijk zijn via HTTPS.
Frequently Asked Questions
How much RAM for Ollama?
For 7B parameter models you need 8 GB RAM minimum. 13B models need 16 GB and 70B models require 64 GB or more.
Can Ollama run without a GPU?
Ja. Ollama supports CPU-only inference which is slower but functional for 7B and 8B models on modern multi-core VPS instances.
Which model should I start with?
Llama 3.1 8B offers strong performance with reasonable resource requirements and works well on a 16 GB VPS.
Is Ollama free?
Ja. Ollama is completely free and open source. You only pay for the VPS or GPU cloud resources.
Can I use Ollama with Open WebUI?
Ja. Ollama pairs perfectly with Open WebUI to create a ChatGPT-like interface for your self-hosted models.