/blog / review / paperspace
Paperspace Gradient review: Jupyter-first GPU rentals in 2026
DigitalOcean's GPU subsidiary, three years after acquisition. Still a good notebook tool, still expensive.
- gpu
- review
- paperspace
- notebook
Paperspace’s pitch — and it’s a genuine one — is that you live in Jupyter. Gradient is built notebook-first, which is rare in this market.
What’s good
The notebook UX is the best in class. State persists across sessions. Templates are sensible. The integration with their managed object storage is genuinely seamless.
What’s expensive
Their A100 80GB rate is $3.09/hr. That’s 50% more than Runpod’s equivalent. For a quick notebook session that’s noise. For continuous fine-tuning runs, it’s hundreds of dollars a month you don’t need to spend.
Verdict
6.8. If you’re a researcher who wants to focus on the notebook, fine. If you’re trying to minimise cloud bills, look elsewhere.
comparison
Paperspace, Colab Pro, SageMaker: cloud GPU notebook comparison
Comparing Paperspace Gradient, Colab Pro, and AWS SageMaker for cloud GPU ML notebooks. Find the best platform for your machine learning workflows based on price, performance, and ease of use.
5 min
review · runpod
Runpod review: bare-metal H100s without the enterprise tax
Six weeks on Runpod across Community Cloud, Secure Cloud, and Serverless. The benchmarks, the bills, and where it falls short of AWS and Lambda.
14 min
review · lambda
Lambda Labs review: pretty UI, predictable bill, painful queue
Lambda is the boring-good option for ML teams that hate surprises. Here's what we'd warn you about.
10 min