Run CUDA and OpenCL simulations and numerical workloads on an NVIDIA Tesla P40 (24 GB VRAM, Pascal architecture). GPU servers are not orderable yet; contact us to be notified when they are.
$ apt install nvidia-cuda-toolkit && nvcc --version
# Example install command
Scientific computing on a GPU runs work across many CUDA cores in parallel (3,840 on the Tesla P40). Molecular dynamics, CFD and other simulation codes with GPU support can run much faster than on CPUs alone.
Run codes built for CUDA or OpenCL.
Parallel processing for simulation workloads.
The P40 is designed for single-precision (FP32) and INT8 work; it is not a double-precision HPC card.
A server stays up between jobs, so your environment and data persist.
Scientific Computing 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. Scientific Computing is a general GPU-accelerated workload. Make sure your software has CUDA support and that your driver / runtime versions match the workload requirements for Scientific Computing.
GPU servers are not available to order yet. Today you can run Scientific Computing on a regular CPU plan, where it works far more slowly than on a GPU: SSH in and run apt install nvidia-cuda-toolkit && nvcc --version.
VRAM needs for Scientific Computing 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 Scientific Computing within the server's RAM and storage.
Every VPS.org server comes with full root SSH access, so you can install drivers, libraries and Scientific Computing 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 Scientific Computing needs yourself.
Yes. VPS.org servers are persistent virtual machines, not ephemeral instances: Scientific Computing 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 Scientific Computing 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 Scientific Computing 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 Scientific Computing 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.