Ka tere ake te ako mīhini me te whakaakoranga GPU-powered me te whakawāteatanga. RAPIDS, XGBoost GPU, me te ako ā-pūkenga i runga i ngā pūrere NVIDIA motuhake.
$ pip install cuml-cu12 xgboost cudf-cu12 # E haere ana ki NVIDIA Tesla P40 (24GB) E whakaritea ana. _
Ka whakamahia e te ako mīhini whakatere GPU a NVIDIA CUDA hei whakatere i te whakaakoranga me ngā matapae mō ngā hātepe papatono ML tawhito. Ka taea e RAPIDS me XGBoost GPU te tuku i ngā tere 10-100x i runga i ngā taupānga CPU anake.
Ko ngā hātepe papatono ā-GPU-whakahohe-ki te ako-mātautau.
He tere ake te whakateretanga o te whakateretanga o te whakateretanga o te whakateretanga o te 10x i runga i te GPU.
GPU-whakaterea nga pandas me te numpy mo te tuarua o te raraunga.
Whakawhanake i tōna pūtautau ML katoa i runga i te GPU mō te tere tino nui.
Machine Learning on a GPU VPS is a CUDA-accelerated deployment. Machine 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 Machine Learning.
Deploy a GPU VPS with the NVIDIA Tesla P40, SSH in, and run pip install cuml-cu12 xgboost cudf-cu12. Your Machine Learning environment is ready in minutes with full GPU acceleration.
Our GPU VPS ships with 24 GB GDDR5X VRAM on the NVIDIA Tesla P40, which is sufficient for most Machine Learning workloads. Multi-GPU configurations are available on request.
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 Machine Learning.
Yes. Full root SSH on every GPU VPS — install drivers, swap CUDA versions, customize the environment for Machine Learning 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 Machine Learning workload.
Yes — your Machine Learning 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 Machine Learning 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 Machine Learning install carries over.
Yes. Automated daily backups are an add-on; manual snapshots are free. Useful for long Machine Learning training runs where you want a checkpointable server state.
Yes — 30-day money-back guarantee on every plan including GPU. Try Machine Learning on a GPU VPS risk-free.
Ka whakawaengatia tētahi NVIDIA GPU tauhohenga i roto i ngā minu. Kāore he whakawhiwhinga, kāore he whakawhiwhinga.