Accelerare i carichi di lavoro TensorFlow con l'hardware dedicato NVIDIA GPU. I modelli di treno, servono previsioni, e costruire condotte ML con supporto CUDA completo.
$ pip install tensorflow[and-cuda] # Esecuzione su NVIDIA Tesla P40 (24GB) Pronti. _
TensorFlow è il framework di apprendimento automatico open-source di Google per la costruzione e la distribuzione di modelli ML. Con GPU VPS, si ottiene hardware dedicato per accelerare la formazione e l'inferenza senza condividere risorse.
Supporto CUDA nativo per le operazioni TensorFlow. Fino a 50x più veloce della CPU.
Integrazione completa di Keras per la costruzione di modelli di alto livello con backend GPU.
Monitorare l'allenamento con TensorBoard sul proprio server.
Distribuisci modelli alla produzione con TensorFlow Serving su 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.
Distribuisci un server dedicato NVIDIA GPU in pochi minuti. Nessuna prenotazione, nessuna chiamata di vendita.