PyTorch는 전 세계 연구자와 엔지니어들이 사용하는 선도적인 딥 러닝 프레임워크입니다. GPU VPS는 전용 NVIDIA 하드웨어를 제공하여 모델을 더 빠르게 훈련하고 규모에 맞게 추론을 실행할 수 있습니다.
미리 구성된 NVIDIA 드라이버와 CUDA 툴킷을 사용하여 즉시 훈련을 시작하십시오.
대형 모델과 더 큰 배치 크기를 훈련하기 위한 24GB VRAM.
대화형 개발을 위해 GPU 지원을 갖춘 Jupyter 노트북을 실행합니다.
대용량 데이터 세트에서 더 빠른 훈련을 위해 다중 GPU 설정으로 확장.
PyTorch on a GPU VPS is a CUDA-accelerated deployment. PyTorch 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 torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu124. Your PyTorch 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 PyTorch.
Yes. Full root SSH on every GPU VPS — install drivers, swap CUDA versions, customize the environment for PyTorch 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 PyTorch workload.
Yes — your PyTorch 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 PyTorch 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 PyTorch install carries over.
Yes. Automated daily backups are an add-on; manual snapshots are free. Useful for long PyTorch training runs where you want a checkpointable server state.
Yes — 30-day money-back guarantee on every plan including GPU. Try PyTorch on a GPU VPS risk-free.