Fine-tune and train models on an NVIDIA Tesla P40 (24 GB VRAM, Pascal architecture). Best for LoRA fine-tuning and small models. GPU servers are not orderable yet; contact us to be notified when they are.
$ pip install torch transformers datasets accelerate && python train.py
# Example install command
Training AI models needs parallel compute that GPUs provide. A GPU server gives you one GPU for your own training jobs.
One Tesla P40 with 24 GB VRAM, passed through to your server and not shared.
PyTorch, TensorFlow, JAX or any framework that still supports Pascal GPUs.
Keep datasets, checkpoints and model files on the server's SSD storage.
Full root access to configure the training environment.
AI Training can use an NVIDIA GPU to speed up its work. VPS.org GPU servers are not available to order yet; contact us to hear when they are. AI Training is a general GPU-accelerated workload. Make sure your software has CUDA support and that your driver / runtime versions match the workload requirements for AI Training.
GPU servers are not available to order yet. Today you can run AI Training on a regular CPU plan, where it works far more slowly than on a GPU: SSH in and run pip install torch transformers datasets accelerate && python train.py.
VRAM needs for AI Training depend on the model and batch size; check the project documentation for current figures.
GPU pricing will be published when GPU servers can be ordered. Contact us if you want to hear when that happens.
Yes. Every VPS.org server comes with full root access, so you can run other tools alongside AI Training within the server's RAM and storage.
Every VPS.org server comes with full root SSH access, so you can install drivers, libraries and AI Training however you need.
No. No server comes with a CUDA runtime or NVIDIA driver preinstalled, and GPU servers are not available to order yet. You install the versions AI Training needs yourself.
Yes. VPS.org servers are persistent virtual machines, not ephemeral instances: AI Training models, configs and data stay on the server's SSD storage until you delete them.
Keep working data on the server's SSD for fast access during AI Training runs, and copy finished artifacts (weights, generations, embeddings) to storage outside VPS.org; snapshots and backups stay on the same storage cluster.
You can upgrade any VPS.org server to a larger plan from the control panel; the resize restarts it and your AI Training install carries over. GPU servers are not available yet.
Yes. Backups are a paid add-on (daily +30% of the plan price, kept 7 days; weekly +20%, kept 28 days) and snapshots are free, which is useful before long AI Training runs. Both stay on the same storage cluster as the server.
Contact support within 30 days of your first purchase to request a refund. GPU servers are not sold yet, so no GPU order is involved.
GPU servers are not orderable yet. Tell us about your workload and we will let you know when they are.