Reti neuronales, sicut CNN, transformatores minusculi et GAN, in NVIDIA Tesla P40 (24 GB VRAM, architectura Pascal) exercitare. Servitores GPU non sunt nunc ordinabiliae; nos contactare ut notum sit cum sunt.
$ pip install torch torchvision && python -c "import torch; print(torch.cuda.is_available())"
# Exemplum instructioe
Instructiones profundi GPU accelerationem ut rete neuronale in tempore rationis instrueret necessitatem habet. Servitor GPU te GPU pro tuis experimentis dedit.
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Deep Learning 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. Deep Learning is a general GPU-accelerated workload. Make sure your software has CUDA support and that your driver / runtime versions match the workload requirements for Deep Learning.
GPU servers are not available to order yet. Today you can run Deep Learning on a regular CPU plan, where it works far more slowly than on a GPU: SSH in and run pip install torch torchvision && python -c "import torch; print(torch.cuda.is_available())".
VRAM needs for Deep Learning depend on the model and batch size; check the project documentation for current figures.
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Yes. Every VPS.org server comes with full root access, so you can run other tools alongside Deep Learning within the server's RAM and storage.
Every VPS.org server comes with full root SSH access, so you can install drivers, libraries and Deep Learning 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 Deep Learning needs yourself.
Yes. VPS.org servers are persistent virtual machines, not ephemeral instances: Deep Learning 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 Deep Learning 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 Deep Learning 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 Deep Learning 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.
Capacitas GPU limitata est. Dite nos de tuae labores et respondemus cum disponibilitate et prezzo.