បង្កើនល្បឿនការរៀនម៉ាស៊ីនជាមួយការបណ្តុះបណ្តាលនិងការសន្និដ្ឋានដែលដំណើរការដោយ GPU ។ RAPIDS, XGBoost GPU និង scikit-learn លើផ្នែករឹង NVIDIA ដែលបានដាក់បញ្ចូល។
$ pip install cuml-cu12 xgboost cudf-cu12 # រត់នៅលើ NVIDIA Tesla P40 (24GB) រួចរាល់ & # 160; ។ _
ការរៀនម៉ាស៊ីនដែលបង្កើនល្បឿនដោយ GPU ប្រើ NVIDIA CUDA ដើម្បីបង្កើនល្បឿនការបណ្តុះបណ្តាលនិងការព្យាករណ៍សម្រាប់ក្បួនដោះស្រាយ ML បុរាណ។ RAPIDS និង XGBoost GPU អាចផ្គត់ផ្គង់ល្បឿន 10-100x លើសពីការអនុវត្តតែ CPU ប៉ុណ្ណោះ។
ល្បឿន GPU- ល្បឿន scikit- រៀនក្បួនដោះស្រាយដែលឆបគ្នា ។
ជម្រាលហ្វឹកហាត់បង្កើនម៉ូដែល 10x រហ័សលើ GPU ។
pandas និង numpy ដែលបានបង្កើនល្បឿន GPU សម្រាប់ដំណើរការទិន្នន័យជាមុន ។
រក្សាបំពង់ ML ទាំងមូលរបស់អ្នកនៅលើ GPU សម្រាប់ល្បឿនអតិបរមា ។
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.
ដំឡើងម៉ាស៊ីនបម្រើ NVIDIA GPU ដែលបានបម្រុងទុកក្នុងរយៈពេលប៉ុន្មាននាទីប៉ុណ្ណោះ។ គ្មានការកក់ទុកមុន គ្មានការហៅលក់ឡើយ។