Yi sauri da ayyukan TensorFlow tare da kayan aikin NVIDIA GPU. Koyi da nau'ikan, yi hasashen, da gina ML pipelines tare da goyon baya na CUDA.
$ pip install tensorflow[and-cuda] # Ana tafiyar da shi a kan NVIDIA Tesla P40 (24GB) A'aha! _
TensorFlow shi ne tsarin koyon injin Google na maɓallin maɓalli mai buɗewa don gina da kuma raba samfuran ML. Tare da GPU VPS, zaku sami kayan aiki masu dacewa don haɓaka koyon da kuma fahimtar ba tare da raba albarkatu ba.
Goyon baya na CUDA na asali ga ayyukan TensorFlow. Har zuwa 50x da sauri fiye da CPU.
Cikakken haɗin kai na Keras don gina siffar ma'aunin-sama tare da GPU na baya.
Kula da horo tare da TensorBoard a kan mai ba da sabis ɗinka.
Yi amfani da sifofi zuwa samarwa tare da TensorFlow Serving a kan 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.
Yi amfani da mai ba da sabis na NVIDIA GPU a cikin minti. Babu ajiya, babu kiran sayarwa.