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 on a GPU VPS is a CUDA-accelerated deployment. LLaMA is a general GPU-accelerated workload. Make sure your software has CUDA support and that your driver / runtime versions match the workload requirements for LLaMA.
Deploy a GPU VPS with the NVIDIA Tesla P40, SSH in, and run curl -fsSL https://ollama.com/install.sh | sh && ollama run llama3. Your LLaMA environment is ready in minutes with full GPU acceleration.
Our GPU VPS ships with 24 GB GDDR5X VRAM on the NVIDIA Tesla P40, which is sufficient for most LLaMA workloads. Multi-GPU configurations are available on request.
GPU VPS plans are billed monthly with no lock-in contracts and can be cancelled anytime. Contact us for current GPU pricing tiers.
Yes — you have full root on the GPU VPS. Run whatever fits inside the 24 GB VRAM and the available RAM / storage budget alongside LLaMA.
Yes. Full root SSH on every GPU VPS — install drivers, swap CUDA versions, customize the environment for LLaMA however you need.
GPU VPSs ship with a recent CUDA runtime and the matching NVIDIA driver pre-installed. You can pin or upgrade CUDA versions as required by your LLaMA workload.
Yes — your LLaMA GPU VPS is a long-running persistent server, not an ephemeral instance. Models, configs, and data stay on the SSD between sessions.
Keep working data on the VPS SSD for fast access during LLaMA runs; back up finished artifacts (weights, generations, embeddings) off-server via snapshots or object storage for safety.
Yes — plan upgrades are instant from your control panel; the GPU itself can be swapped to a larger tier on request. Your LLaMA install carries over.
Yes. Automated daily backups are an add-on; manual snapshots are free. Useful for long LLaMA training runs where you want a checkpointable server state.
Yes — 30-day money-back guarantee on every plan including GPU. Try LLaMA on a GPU VPS risk-free.
Deploy a dedicated NVIDIA GPU server in minutes. No reservations, no sales calls.