បង្កើនល្បឿនការងារ TensorFlow ជាមួយផ្នែករឹង NVIDIA GPU ដែលបានបម្រុងទុក។ បណ្តុះបណ្តាលម៉ូដែល ផ្តល់ការព្យាករណ៍ និងបង្កើតបំពង់ ML ជាមួយការគាំទ្រ CUDA ពេញលេញ។
$ pip install tensorflow[and-cuda] # រត់នៅលើ NVIDIA Tesla P40 (24GB) រួចរាល់ & # 160; ។ _
TensorFlow គឺជាគ្រឹះនៃការរៀនម៉ាស៊ីនប្រភពបើកចំហរបស់ Google សម្រាប់ស្ថាបនានិងបញ្ជូនម៉ូដែល ML ។ ជាមួយ GPU VPS អ្នកទទួលបានផ្នែករឹងដែលខិតខំប្រឹងប្រែងដើម្បីបង្កើនល្បឿនការបណ្តុះបណ្តាលនិងសន្និដ្ឋានដោយមិនចាំបាច់ចែករំលែកធនធាន។
គាំទ្រ CUDA ដើមសម្រាប់ប្រតិបត្តិការ TensorFlow ។ រហូតដល់ 50x រហ័សជាងស៊ីភីយូ ។
ការបញ្ចូល Keras ពេញលេញសម្រាប់ការសាងសង់ម៉ូដែលកម្រិតខ្ពស់ជាមួយផ្នែកខាងក្រោយ GPU ។
ត្រួតពិនិត្យការហ្វឹកហាត់ជាមួយ TensorBoard នៅលើម៉ាស៊ីនបម្រើរបស់អ្នកផ្ទាល់ ។
អនុវត្តម៉ូដែលទៅផលិតកម្មជាមួយ TensorFlow សេវាលើ GPU ។
TensorFlow on a GPU VPS is a CUDA-accelerated deployment. TensorFlow is a training / fine-tuning workload. Plan for long-running jobs — snapshot your VPS regularly, and consider an external cold-storage backup for trained weights.
Deploy a GPU VPS with the NVIDIA Tesla P40, SSH in, and run pip install tensorflow[and-cuda]. Your TensorFlow environment is ready in minutes with full GPU acceleration.
Training VRAM is dominated by the optimizer state plus activations. Full fine-tuning of a 7B LLM needs ~24-48 GB; LoRA / QLoRA fits in 8-16 GB. Our Tesla P40 supports LoRA-class fine-tuning out of the box; full training of larger models requires multi-GPU.
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 TensorFlow.
Yes. Full root SSH on every GPU VPS — install drivers, swap CUDA versions, customize the environment for TensorFlow 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 TensorFlow workload.
Yes — your TensorFlow 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 TensorFlow 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 TensorFlow install carries over.
Yes. Automated daily backups are an add-on; manual snapshots are free. Useful for long TensorFlow training runs where you want a checkpointable server state.
Yes — 30-day money-back guarantee on every plan including GPU. Try TensorFlow on a GPU VPS risk-free.
ដំឡើងម៉ាស៊ីនបម្រើ NVIDIA GPU ដែលបានបម្រុងទុកក្នុងរយៈពេលប៉ុន្មាននាទីប៉ុណ្ណោះ។ គ្មានការកក់ទុកមុន គ្មានការហៅលក់ឡើយ។