Spend significantly less on your GPU compute compared to the major public clouds or buying your own servers.
Scale when you need, stop paying when you don't. On-demand pricing means you only pay for what you use.
Easily change instance types anytime so you always have access to the mix of cost and performance. Cancel anytime.
Choose "ML in a Box" template that comes preinstalled with all the major ML frameworks and CUDA® drivers.
Choose from the largest GPU catalog in the world. Leverage the latest NVIDIA GPUs including Ampere A100s with up to 8 GPUs.
Bring your SSH key and connect directly to your VM with full root access.
Easily launch a large cluster of compute nodes, zero DevOps required. Track realtime utilization across your team. Full API access.
Each instance is connected to a 10 Gbps backend network with 1Gbps internet connectivity.
With one of the largest catalog of GPUs in the world, you always have access to the best hardware available.
Users on the platform
Compute hours used
Jupyter notebooks run
"For ML applications, I’ve found @HelloPaperspace to have the best UI / UX by far"
"Have been using @HelloPaperspace Gradient Notebooks and it has been an amazing experience so far. ... A true local-like development environment feel 😄"
"I just checked out @HelloPaperspace and wow its soooo beautiful"
"I came across a very exciting feature on Paperspace: they mounted additional storage to every machine for free. That storage has public machine learning datasets. OMG, this is so cool. Great job @HelloPaperspace!!! 👏"
"Trying out @HelloPaperspace after all the problems with colab so far the transparency about what you're getting for your money (and what instances are available) is nice. But all the system information graphs are my favorite."
"Just tried Gradient from @HelloPaperspace. Man that thing is super easy to use. #MachineLearning #CloudComputing"
"First time using @HelloPaperspace. Great way to spend more time learning and practicing ML rather than debugging / setting up a Cloud instance."