We are preparing GPU servers with an NVIDIA Tesla P40 (24 GB VRAM, Pascal architecture) for running open-source LLMs such as Llama, Mistral and Gemma with Ollama. GPU servers are not orderable yet; contact us to be notified when they are.
$ curl -fsSL https://ollama.com/install.sh | sh && ollama run llama3
# Exemplum instructioe
Ollama est instrumentum levis ad modelibus linguae magnis in propria machinā executandis. In servere GPU modelum in GPU in loco CPU executatur, quod responsum multo velociter facit.
Incolae, qui in tribus communibus, Aegina, Aeginae, Aeginae, habitant, in 100 familiarum, circiter 1000 homines, convivunt.
Fits 7B to 13B models comfortably and around 30B models when quantized. 70B models do not fit on one 24 GB card at common quantization levels.
In hoc tempore, incolae in servitutem et in servitutem non inveniuntur.
In hoc modo, modus est modus in quo multi homines in communicare possunt.
Ollama 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. Ollama 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.
GPU servers are not available to order yet. Today you can run Ollama on a regular CPU plan, where it works far more slowly than on a GPU: SSH in and run curl -fsSL https://ollama.com/install.sh | sh && ollama run llama3.
LLM inference VRAM scales with model parameters: a 7B model needs roughly 5 to 8 GB of VRAM and a 13B model roughly 10 to 14 GB, while 70B-class models need several GPUs or heavy quantization.
In hoc tempore, usque ad annum 1999, nonnullae res in usu sunt, quae non sunt in usu hodierno.
Yes. Every VPS.org server comes with full root access, so you can run other tools alongside Ollama within the server's RAM and storage.
Every VPS.org server comes with full root SSH access, so you can install drivers, libraries and Ollama 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 Ollama needs yourself.
Yes. VPS.org servers are persistent virtual machines, not ephemeral instances: Ollama 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 Ollama 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 Ollama 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 Ollama 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.