Growth at Paperspace
ATG Fellowships are back! If you're a Graduate or Post-Grad looking to continue deep learning research with the support of a talented engineering team, join us for a 10-15 week fully funded research appointment!
We're pleased to release a new ML Showcase entry featuring some exciting new GPU-accelerated visualization techniques courtesy of NVIDIA RAPIDS.
Aitextgen is a Python library for training text-generation models using GPT-2 and GPT-3/GPT Neo. In this tutorial you'll get aitextgen up and running quickly in a Jupyter notebook on a free GPU instance from Paperspace Gradient!
We were lucky enough to interview Demetrios Brinkmann -- the founder of the world's biggest MLOps community. He shares with us the origin story of the community as well as some observations on the state of MLOps today.
We've released a new file uploader for Gradient Notebooks. You can now upload any file to your running notebook!
What does the NVIDIA's new ARM-based CPU chip mean for the future of deep learning? We take a look at this and other questions by looking at the history of high performance computing and how HPC architectures have been adopted within deep learning.
AWS SageMaker Studio Notebooks are feature-rich and yet present a number of difficulties when getting started and when trying to understand pricing. Here we take a look at the favorable and unfavorable comparisons with Gradient Notebooks from Paperspace.
Google AI Platform Notebooks are enterprise-grade notebooks best suited for those with compliance concerns who need to ingest data from GCP sources like BigQuery. Gradient is more like Google's other notebook product Colab but with advanced features.
In general, Azure notebooks are best for those who'd like to take advantage of starter credits from Microsoft or for those who are already entrenched in the Azure computing ecosystem while Gradient is best for running Free CPU and GPU instances without a lot of startup time or hassle.
