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Today, Modular is excited to announce a partnership with Amazon Web Services (AWS), the world’s leading and largest cloud server provider. Together, we are bringing the benefits of the MAX Platform to AWS production services everywhere, powering innovative AI features for billions of users around the world.

The era of Generative AI is upon us. Companies around the world are exploring how it can transform their businesses, yet most are finding it challenging to economically and efficiently deploy these larger and more complex models into production.

‍ModCon 2023 is Modular’s first ever conference and we’d like to invite you to join us on Dec 4th in San Francisco. ModCon includes a full day of keynote presentations, panels, lightning talks, and workshops from industry experts and the Modular team. 

We are happy to welcome Mostafa Hagog to Modular, who recently joined to lead our high performance numeric kernels, graph compiler, and low level heterogeneous runtime teams! These technology areas are critical low-level components of our AI Engine, and are directly responsible for delivering state of the art performance across many categories of hardware.

We are excited to announce that we have raised $100 million in new funding, led by General Catalyst and filled by existing investors GV (Google Ventures), SV Angel, Greylock, and Factory. This second round of funding follows our first $30 million round from last year and will enable us to supercharge our vision for the future of AI infrastructure for the world's developers.

Last week, we launched Modular to the world after more than 16 months in stealth. We started Modular with a deep conviction — after 6+ years of building and scaling AI infrastructure to billions of users and 20+ years of building foundational compute infrastructure — it was clear the world needed a better path forward. Everyone wants less complexity, better access to compute and hardware, and the ability to develop and deploy AI faster.

At Modular, we are rebuilding AI infrastructure for the world. Our goal is to move past AI tools that are themselves research projects and into a future where AI development and deployment are orders of magnitude more efficient for everyone. You should be able to do this without trading off performance or having to rewrite your entire code base.

Here in November 2022, we see a continuing onslaught of bad news: significant layoffs of incredible people as companies tighten their belts; companies that raised too much money, too fast, without core fundamentals are dying; and a changing climate where over-tightening rather than under-tightening is seemingly the new normal.

AI promised to profoundly change the world, so why hasn’t it?From healthcare to manufacturing, finance, climate, communication, and travel, to how we live and work. AI can help solve any problem that can be represented by data, assuming the right algorithms and enough computational resources.

Platforms like TensorFlow, PyTorch, and CUDA do not focus on modularity - there, we said it! They are sprawling technologies with thousands of evolving interdependent pieces that have grown organically into complicated structures over time. AI software developers must deal with this sprawl while deploying workloads to server, mobile devices, microcontrollers, and web browsers using multiple hardware platforms and accelerators.