🎉 Just Launched: 🎉 Quansight’s Contributions to PyTorch in 2023 & 2024
We’re excited to share our latest blog post, reflecting on Quansight’s contributions to the PyTorch ecosystem over the past year. From advancing the capabilities of torch.compile to improving performance across several critical components. Read the post >>

Unlock the Power of AI/ML including Generative AI and LLMs Using PyTorch

Trusted by Meta's Core Development Team Since 2019

PyTorch is one of the leading open source machine learning frameworks for building and training AI models. Developed primarily by Meta, it has become the hub of innovation within deep learning.

At Quansight, we offer personalized support to help you build and optimize a PyTorch-based AI/ML system. Whether you’re looking to create a new system or optimize an existing one, our team can help.

 

Quansight’s PyTorch Support Offerings Include:

PyTorch Quickstart

Start your journey alongside PyTorch experts who will help you create advanced machine learning systems for your specific business needs.

PyTorch Optimization

Accelerate your PyTorch projects and cut costs by optimizing critical computation pathways to improve model performance.

PyTorch Training

Access customized PyTorch training on topics like natural language processing, computer vision, and code acceleration.

Access Open Source Experts to Build Your AI Strategy

  • Travis Oliphant, NumPy, SciPy, and Numba Creator
  • Tania Allard, PSF board vice chair, Jupyter Distinguished Contributor, conda steering council member
  • Dharhas Pothina, Nebari & Conda Store Creator, Holoviz Steering Committee
  • Ralf Gommers, SciPy/NumPy Maintainer, Array API Standard Creator
  • Jaime Rodríguez-Guerra, Conda-forge Maintainer & Steering Committee Member
  • Pearu Peterson, SciPy Creator & f2py Author
  • Andrew James, PyTorch Core Developer, torch.sparse Author
  • Melissa Weber Mendonça, NumPy/SciPy/napari maintainer & Senior Developer
  • Victor Fomin, PyTorch Core Developer, PyTorch Ignite Project Lead
  • Nathan Goldbaum, Senior NumPy developer
  • Isuru Fernando, Conda-forge Maintainer & Member of Steering Committee

Quansight’s Contributions to PyTorch

For a closer look at the work we’ve done for PyTorch in recent years, take a look at our annual blog posts highlighting contributions and enhancements to PyTorch.

Contributions include:

Image of the PyTorch logo
Image of the PyTorch logo

Contributions include:

PyTorch Support Service Packages

Team Support

Connect your team with domain experts to enhance their PyTorch projects.
50k Per Year
  • $25k retainer for project work
  • 5 monthly support tickets
  • Support via GitHub issues
  • 2 monthly office hours
  • 2 business-day SLA

Enterprise Support

Leverage enterprise-level support from active PyTorch maintainers and contributors.
200k Per Year
  • $100k retainer for project work
  • 20 monthly support tickets
  • Support via dedicated Slack channel
  • Assigned PyTorch rep PyTorch
  • PyTorch Masterclasses
  • Monthly office hours
  • 2 business-day SLA

Custom Support

Design a customized PyTorch Support package to fit your specific business needs.

Starting at

50k Per Year
  • PyTorch customization
  • PyTorch training
  • Proprietary solutions around PyTorch
  • Masterclasses
  • Monthly office hours

Frequently Asked Questions

Yes! We are well versed in assisting companies at any stage along the PyTorch journey, including those who are just getting started.

Absolutely. Our experts have built many of the internal PyTorch systems and have insight that can help even the most advanced users get more out of their systems.

Your team will have a time window with exclusive access to an expert. You can use this time to learn about PyTorch, get advice on how to design your systems, or discuss anything else you like.

Thanks to our expertise in LLMs, AI/ML, cloud infrastructure, and the broader scientific, visualization, and data platform Python stack, we can support you at any stage in building an LLM strategy—from getting started to refining what’s in place. See our LLM Services page to learn more.

The best way to get started from scratch is to learn from the people who built the platform! Learn the various components of PyTorch and domain libraries from the maintainers who are working on them every day.

We can easily adapt to whatever systems you are comfortable with. We can use GitHub issues on the PyTorch repository, private issues on your own ticketing system, or any other medium to track support tickets. 

About Quansight

Quansight is a data, science, and engineering firm that specializes in solving complex, data-related problems by leveraging the open source software at the foundation of machine learning and artificial intelligence. 

 

Our knowledge in scientific Python and its ecosystem of libraries and tools allows us to offer bespoke solutions that derive true value from data. We empower clients with critical business insights and actionable knowledge while strengthening the open source projects modern technologies depend on.

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