All the capabilities—and GPU power—you need for AI model training and deployment at scale.
Develop, Train and deploy AI applications
Lauch a GPU powered Jupyter IDE notebook to build a proof of concept.
Train or fine-tune AI models with GPU-powered Virtual machines.
Convert models into API endpoints for fast, simple scaling.
Take your AI/ML applications to the next level by training and running your models on Paperspace with NVIDIA H100 GPUs.
Powered by a new NVIDIA transformer engine and fourth-gen Tensor cores, H100 delivers up to 9x faster AI training and up to 30x faster AI inference*.
Combine eight H100 GPU nodes with up to 3.2 TBps GPU interconnect to train and run your most complex models. Our pricing starts as low as $2.24/hour/node**.
Whether it is for large-language models, object detectors, foundation models or any GPU-intensive models, Paperspace makes it easy to spin up a GPU instance in seconds.
*Data is based on testing benchmarks from NVIDIA: https://developer.nvidia.com/blog/nvidia-hopper-architecture-in-depth
**$2.24/hour pricing is for a 3-year commitment. On-demand pricing for H100 is $5.95/hour under our special promo price.
Limitless computing power on demand.
A powerful environment with loads of features that "just works"
Build in a secure and containerized web-based Jupyter IDE that's snappy, intuitive, and powered by NVIDIA GPUs.
Choose from a wide selection of pre-configured ML frameworks and multiple integrations (including GitHub) to get started quickly.
Pick from CPU+GPU and multi-GPU-powered VMs (located in California, New York, and Amsterdam) that can be accessed from anywhere with storage, backup, and auto-shutdown features.
A high performance computing foundation with a wide selection of low-cost GPU and CPU instances as well as affordable storage options designed to help your business scale while keeping your costs in check.
Have a complex setup or additional questions around pricing? Contact our sales team to get more information on Paperspace pricing.
Sign up now and you'll be up and running on Paperspace in just minutes.