Accelerate TensorFlow workloads with dedicated NVIDIA GPU hardware. Train models, serve predictions, and build ML pipelines with full CUDA support.
$ pip install tensorflow[and-cuda] # Running on NVIDIA Tesla P40 (24GB) Ready. _
TensorFlow is Google's open-source machine learning framework for building and deploying ML models. With GPU VPS, you get dedicated hardware to accelerate training and inference without sharing resources.
Native CUDA support for TensorFlow operations. Up to 50x faster than CPU.
Full Keras integration for high-level model building with GPU backend.
Monitor training with TensorBoard on your own server.
Deploy models to production with TensorFlow Serving on GPU.
TensorFlow is Google's open-source machine learning framework for building and deploying ML models. With GPU VPS, you get dedicated hardware to accelerate training and inference without sharing resources.
Deploy a GPU VPS with NVIDIA Tesla P40, SSH into your server, and run: pip install tensorflow[and-cuda]. Your TensorFlow environment will be ready in minutes with full GPU acceleration.
Our GPU VPS comes with 24GB GDDR5X VRAM on the NVIDIA Tesla P40, which is sufficient for most TensorFlow workloads. For larger requirements, contact us for multi-GPU configurations.
GPU VPS is billed monthly with no lock-in contracts. You can cancel anytime. Contact us for current pricing as we finalize our GPU tier offerings.
Yes, you have full root access. Install any combination of tools alongside TensorFlow, as long as they fit within the 24GB VRAM and server resources.
Yes, all GPU VPS instances come with full root SSH access. Install any software, configure drivers, and customize the environment exactly as you need.
Deploy a dedicated NVIDIA GPU server in minutes. No reservations, no sales calls.