CUUNA और ओपन-टाइप्स चलाएँ और एनVIITERTL P40 (24 GB 144 वोबेड, पास्कल वबॉटबिंग) पर काम करती है. GUUL सर्वर अभी तक आदेश नहीं दे रहे हैं, हमें सूचित करने के लिए संपर्क किया जाना चाहिए जब वे कर रहे हैं.
$ apt install nvidia-cuda-toolkit && nvcc --version
# उदाहरण संस्थापित कमांड
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.
सीयूडी या ओपन- डीएल के लिए बनाया गया कोड चलाएँ.
सिमुलेशन कार्य लोड के लिए समानांतर प्रक्रिया.
The P40 is designed for single-precision (FP32) and INT8 work; it is not a double-precision HPC card.
सर्वर कार्य के बीच बना रहता है, इसलिये आपका वातावरण तथा डाटा बनी रहती है.
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.
Scientific Computing के लिए VRAM की ज़रूरतें model और batch size पर निर्भर करती हैं; वर्तमान figures के लिए project documentation देखें।
Gupping प्रकाशित की जाएगी जब GUP सर्वर को आदेश दिया जा सकता है. हमें संपर्क करें जब आप ऐसा होता है.
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.
जीपिपी क्षमता सीमित है । हमें अपने काम के बारे में बताइए और हम विस्तार और प्रिसाइडिंगिंग के साथ जवाब देंगे.