Els models d' aprenentatge fan prediccions i construeixen canonades ML amb implementació total de CUDA.
$ pip install tensorflow[and-cuda] # Corrent a NVIDIA Tesla P40 (24GB) Llest. _
El TenserFlow és el marc d'aprenentatge de la màquina de codi obert de Google per construir i desplegar models ML. Amb director de la GPU, us dedicada a millorar el maquinari i l'inferència sense compartir recursos.
Implementació nativa de CUDA per operacions TensorFlow. A més de 50x més ràpid que la CPU.
Integració total de Keras per construir models d'alt nivell amb el dorsal de la GPU.
Vigileu l'entrenament amb el TensorBoard del vostre servidor.
Models de desplògia a la producció amb els TensorFlow Servint a la 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.
Deploy un servidor de la GPU de la NVIDIA dedicat en minuts. No hi ha reserves, ni trucades de vendes.