Flýta TensorFlow vinnuálag með hollur NVIDIA GPU vélbúnaður.Þjálfa módel, þjóna spár, og byggja ML leiðslur með fullum CUDA stuðning.
$ pip install tensorflow[and-cuda] # Keyrir á NVIDIA Tesla P40 (24GB) Tilbúinn. _
TensorFlow er opinn vélnám ramma Google til að byggja og dreifa ML líkan.Með GPU VPS, færðu sérstaka vélbúnað til að flýta fyrir þjálfun og ályktun án þess að deila auðlindum.
Native CUDA stuðningur við TensorFlow aðgerðir. Allt að 50x hraðar en CPU.
Full Keras samþætting fyrir hágæða líkan byggingu með GPU bakenda.
Fylgjast með þjálfun með TensorBoard á eigin miðlara.
Dreifa módelum í framleiðslu með TensorFlow Serving á 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.
Dreifa hollur NVIDIA GPU miðlara í mínútum. Engar fyrirvara, engin sölu símtöl.