Run LLMs Locally with vLLM
vLLM is ideal for anyone needing a high-performance LLM inference engine. Explore vLLM Hosting — a superior alternative to Ollama. Experience optimized hosting solutions tailored for your needs.
Choose GPU Server for vLLM Hosting
Database Mart offers best budget GPU servers for vLLM. Cost-effective vLLM hosting is ideal to deploy your own AI Chatbot.
Professional GPU VPS - RTX Pro 2000
- GPU Model: RTX Pro 2000
- CPU: 16 CPU Cores
- Memory: 28GB RAM
- Disk: 240GB SSD
- Bandwidth: 300Mbps Unmetered
- IP: 1 Dedicated IPv4
- Location: USA
- Backup: Once per 2 Weeks
Professional GPU VPS - RTX A4000
- GPU Model: RTX A4000
- CPU: 24 CPU Cores
- Memory: 28GB RAM
- Disk: 320GB SSD
- Bandwidth: 300Mbps Unmetered
- IP: 1 Dedicated IPv4
- Location: USA
- Backup: Once per 2 Weeks
Advanced GPU VPS - RTX Pro 4000
- GPU Model: RTX Pro 4000
- CPU: 24 CPU Cores
- Memory: 56GB RAM
- Disk: 320GB SSD
- Bandwidth: 500Mbps Unmetered
- IP: 1 Dedicated IPv4
- Location: USA
- Backup: Once per 2 Weeks
Advanced GPU VPS - RTX 5090
- GPU Model: RTX 5090
- CPU: 32 CPU Cores
- Memory: 84GB RAM
- Disk: 400GB SSD
- Bandwidth: 500Mbps Unmetered
- IP: 1 Dedicated IPv4
- Location: USA
- Backup: Once per 2 Weeks
Advanced GPU VPS - RTX Pro 5000
- GPU Model: RTX Pro 5000
- CPU: 24 CPU Cores
- Memory: 56GB RAM
- Disk: 320GB SSD
- Bandwidth: 500Mbps Unmetered
- IP: 1 Dedicated IPv4
- Location: USA
- Backup: Once per 2 Weeks
Enterprise GPU VPS - RTX Pro 6000
- GPU Model: RTX Pro 6000
- CPU: 32 CPU Cores
- Memory: 84GB RAM
- Disk: 400GB SSD
- Bandwidth: 1000Mbps Unmetered
- IP: 1 Dedicated IPv4
- Location: USA
- Backup: Once per 2 Weeks
Enterprise Dedicated GPU Server - RTX A6000
- GPU Model: RTX A6000
- CPU: 36-Core Dual E5-2697v4
- Memory: 256GB RAM
- Disk: 240GB SSD+2TB NVMe+8TB SATA
- Bandwidth: 100Mbps Unmetered
- IP: 1 Dedicated IPv4
- Location: USA
Enterprise Dedicated GPU Server - A100
- GPU Model: A100
- CPU: 36-Core Dual E5-2697v4
- Memory: 256GB RAM
- Disk: 240GB SSD+2TB NVMe+8TB SATA
- Bandwidth: 100Mbps Unmetered
- IP: 1 Dedicated IPv4
- Location: USA
Enterprise Dedicated GPU Server - A100(80GB)
- GPU Model: A100(80GB)
- CPU: 36-Core Dual E5-2697v4
- Memory: 256GB RAM
- Disk: 240GB SSD+2TB NVMe+8TB SATA
- Bandwidth: 100Mbps Unmetered
- IP: 1 Dedicated IPv4
- Location: USA
Enterprise Dedicated GPU Server - H100
- GPU Model: H100
- CPU: 36-Core Dual E5-2697v4
- Memory: 256GB RAM
- Disk: 240GB SSD+2TB NVMe+8TB SATA
- Bandwidth: 100Mbps Unmetered
- IP: 1 Dedicated IPv4
- Location: USA
Enterprise Multi-GPU Dedicated Server - 3xRTX A5000
- GPU Model: 3 x RTX A5000
- CPU: 36-Core Dual E5-2697v4
- Memory: 256GB RAM
- Disk: 240GB SSD+2TB NVMe+8TB SATA
- Bandwidth: 1000Mbps Unmetered
- IP: 1 Dedicated IPv4
- Location: USA
Enterprise Multi-GPU Dedicated Server - 4xRTX A6000
- GPU Model: 4 x RTX A6000
- CPU: 44-core Dual E5-2699v4
- Memory: 512GB RAM
- Disk: 240GB SSD+4TB NVMe+16TB SATA
- Bandwidth: 1000Mbps Unmetered
- NVLink: 2xNVLink
- IP: 1 Dedicated IPv4
- Location: USA
6 Core Features of vLLM Hosting
High-Performance GPU Server
Equipped with top-level NVIDIA GPUs such as H100 and A100, it supports any AI inference at scale with maximum throughput and minimum latency.
Freely Deploy any Model
Fully compatible with the vLLM platform. Choose and deploy models freely, including DeepSeek-R1, Gemma 3, Phi-4, Llama 3, and more.
Full Root/Admin Access
With full root/admin access, you will be able to take full control of your dedicated GPU servers for vLLM very easily and quickly.
Data Privacy and Security
Dedicated servers avoid sharing resources with other users, ensuring full control of data and complete isolation for sensitive workloads.
24/7 Technical Support
7×24 hours online support helps users solve all problems — from environment configuration to model optimization and performance tuning.
Customized Service
Based on enterprise needs, we provide customized server configuration and technical consulting to ensure maximum resource utilization.
vLLM vs Ollama vs SGLang vs TGI vs Llama.cpp
vLLM is best suited for applications that demand efficient, real-time processing of large language models.
| Features | vLLM | Ollama | SGLang | TGI (HF) | Llama.cpp |
|---|---|---|---|---|---|
| Optimized for | GPU (CUDA) | CPU/GPU/M1/M2 | GPU/TPU | GPU (CUDA) | CPU/ARM |
| Performance | High | Medium | High | Medium | Low |
| Multi-GPU | ✓ Yes | ✓ Yes | ✓ Yes | ✓ Yes | ✕ No |
| Streaming | ✓ Yes | ✓ Yes | ✓ Yes | ✓ Yes | ✓ Yes |
| API Server | ✓ Yes | ✓ Yes | ✓ Yes | ✓ Yes | ✕ No |
| Memory Efficient | ✓ Yes | ✓ Yes | ✓ Yes | ✕ No | ✓ Yes |
| Applicable scenarios | High-performance LLM reasoning, API deployment | Local LLM, lightweight reasoning | Multi-step reasoning, distributed compute | Hugging Face ecosystem API | Low-end device, embedded |
vLLM leads in GPU performance, multi-GPU support, memory efficiency, and API-ready deployment — the clear choice for production LLM inference.
FAQs of vLLM Hosting
Here are some frequently asked questions about vLLM hosting.
Deploy Your Own
vLLM Inference Server
Top-tier NVIDIA GPUs, full root access, and 24/7 expert support. Start running your own AI models in minutes — no shared resources, no compromise.