Serve grans models de llenguatge amb màxima rendiment utilitzant vLLM en el maquinari NVIDIA dedicat a la GPU. OpenAI- compatible amb l' API de la caixa.
$ pip install vllm && vllm serve meta-llama/Llama-3-8B-Instruct --host 0.0.0.0 # Corrent a NVIDIA Tesla P40 (24GB) Llest. _
vLLM és un motor que fa servir LLLLLLLLM que utilitza la intenció de realitzar memòria eficient. S' està executant vLM en un director de la GPU, us dóna una API de producció ja que ja està a punt amb rendiment òptim.
Gestor de memòria de la GPU eficient per a un alt rendiment.
Manega múltiples peticions concurrents amb ús òptima de la GPU.
Reemplaça els punts finals de l' API OpenAI.
LLaMA, Mistal, Gemma, Qwen, i 50 arquitectures de model+.
vLLM on a GPU VPS is a CUDA-accelerated deployment. vLLM is primarily an LLM-inference / chat workload. You will want fast random-access reads from disk to memory and enough VRAM for the model plus context window.
Deploy a GPU VPS with the NVIDIA Tesla P40, SSH in, and run pip install vllm && vllm serve meta-llama/Llama-3-8B-Instruct --host 0.0.0.0. Your vLLM environment is ready in minutes with full GPU acceleration.
LLM inference VRAM scales with model parameters. A 7B model needs ~5-8 GB VRAM, 13B ~10-14 GB, 70B requires multi-GPU or quantization. Our 24 GB Tesla P40 comfortably runs 7B-13B models at full precision and 30B-class models with INT8 quantization.
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 vLLM.
Yes. Full root SSH on every GPU VPS — install drivers, swap CUDA versions, customize the environment for vLLM 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 vLLM workload.
Yes — your vLLM 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 vLLM 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 vLLM install carries over.
Yes. Automated daily backups are an add-on; manual snapshots are free. Useful for long vLLM training runs where you want a checkpointable server state.
Yes — 30-day money-back guarantee on every plan including GPU. Try vLLM on a GPU VPS risk-free.
Deploy un servidor de la GPU de la NVIDIA dedicat en minuts. No hi ha reserves, ni trucades de vendes.