Serve large language models with maximum throughput using vLLM on dedicated NVIDIA GPU hardware. OpenAI-compatible API out of the box.
$ pip install vllm && vllm serve meta-llama/Llama-3-8B-Instruct --host 0.0.0.0 # Running on NVIDIA Tesla P40 (24GB) Ready. _
vLLM is a high-throughput LLM serving engine that uses PagedAttention for efficient memory management. Running vLLM on a GPU VPS gives you a production-ready LLM API with optimal performance.
Efficient GPU memory management for higher throughput.
Handle multiple concurrent requests with optimal GPU utilization.
Drop-in replacement for OpenAI API endpoints.
LLaMA, Mistral, Gemma, Qwen, and 50+ model architectures.
vLLM is a high-throughput LLM serving engine that uses PagedAttention for efficient memory management. Running vLLM on a GPU VPS gives you a production-ready LLM API with optimal performance.
Deploy a GPU VPS with NVIDIA Tesla P40, SSH into your server, and run: pip install vllm && vllm serve meta-llama/Llama-3-8B-Instruct --host 0.0.0.0. Your vLLM environment will be ready in minutes with full GPU acceleration.
Our GPU VPS comes with 24GB GDDR5X VRAM on the NVIDIA Tesla P40, which is sufficient for most vLLM workloads. For larger requirements, contact us for multi-GPU configurations.
GPU VPS is billed monthly with no lock-in contracts. You can cancel anytime. Contact us for current pricing as we finalize our GPU tier offerings.
Yes, you have full root access. Install any combination of tools alongside vLLM, as long as they fit within the 24GB VRAM and server resources.
Yes, all GPU VPS instances come with full root SSH access. Install any software, configure drivers, and customize the environment exactly as you need.
Deploy a dedicated NVIDIA GPU server in minutes. No reservations, no sales calls.