Nebari: An Infrastructure Engineering Perspective
Hear from Quansight’s Senior Infrastructure Engineer, Chuck McAndrew, on how Nebari has transformed the landscape for deploying data science operations. In a recent conversation with Quansight’s Chuck McAndrew, we explore Nebari’s capabilities, underlying technologies, and impact on reducing operational complexities, thus democratizing data science for various organizational scales. From its humble beginnings running JupyterHub distributions […]
Nebari: The End-User Perspective
Hear from Quansight’s Kim Pevey on empowering data science teams with collaboration and efficiency. Nebari is emerging as a significant player in data science platforms, particularly for those invested in utilizing Jupyter and related technologies in a team setting. Kim Pevey, a Senior Software Engineer at Quansight and a core member of the Nebari team, […]
Streamlined Environment Lifecycle Management for Data Science Workflows with conda-store
“You will not be able to succeed as a company unless you leverage open source effectively.” Dharhas Pothina, Quansight CTO Are you tired of encountering issues when installing new Python packages, resulting in disruptions to your existing code and Jupyter notebooks? Have you ever uttered the phrase, “Well, it works on my computer,” to a […]
Delivering Open Source Expertise to the Enterprise With Our Quansight Labs Partnership
In the recently released Quansight Labs Annual Report 2023, the Labs team did a deep dive into their progress including detailing their contributions to the open source ecosystem. Last year alone, they committed 38,000+ hours to 35+ open source projects, including NumPy, Pandas, SciPy, Matplotlib, scikit-learn, PyTorch, and JupyterLab.
Interview: Launching Ragna, the Open Source RAG-based AI Orchestration Framework
Join us in a chat with Philip Meier, one of the core developers of Ragna, as we delve into its roots and development journey.
Unveiling Ragna: An Open Source RAG-based AI Orchestration Framework Designed to Scale From Research to Production
Announcing Ragna, a new open source project from Quansight designed to allow organizations to explore the power of Retrieval-Augmented Generation (RAG) based AI tools.
Generative AI: Made Possible by a Mountain of Open Source
Many of today’s emerging generative AI products and tools would not be possible without a vast array of open source tools and open source communities upon which generative AI is built.
PyTorch 2.1: Quansight’s Improvements to BSR Sparse Matrix Multiplication
This post presents Quansight work implementing new block sparse row (BSR) kernels for sparse matrix multiplication in PyTorch 2.1.
PyTorch 2.0: Quansight’s Contributions to torch.func
This post discusses the technical details of some recent collaborative Quansight/Meta contributions to the torch.func submodule of PyTorch.
10 Years of Teaching with Jupyter: Reflections from Industry & Academia
Dhavide Aruliah, Quansight’s Director of Education, discusses his experience teaching and training with Jupyter in academia and business at JupyterCon 2023.
