Self-host Meta's LLaMA 3 models on dedicated NVIDIA GPU hardware. Private, fast inference with 24GB VRAM for 8B and 70B parameter models.
$ curl -fsSL https://ollama.com/install.sh | sh && ollama run llama3 # Running on NVIDIA Tesla P40 (24GB) Ready. _
LLaMA (Large Language Model Meta AI) is Meta's family of open-source large language models. Running LLaMA on a GPU VPS gives you private, unrestricted access to powerful language AI.
Run LLaMA 3 8B at full precision or 70B quantized with 24GB VRAM.
Your prompts and data stay on your server. No third-party API calls.
Support for GGUF, GPTQ, AWQ, and native PyTorch formats.
Serve via vLLM or Ollama for drop-in OpenAI API replacement.
LLaMA (Large Language Model Meta AI) is Meta's family of open-source large language models. Running LLaMA on a GPU VPS gives you private, unrestricted access to powerful language AI.
Deploy a GPU VPS with NVIDIA Tesla P40, SSH into your server, and run: curl -fsSL https://ollama.com/install.sh | sh && ollama run llama3. Your LLaMA 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 LLaMA 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 LLaMA, 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.