Modular's engine improves the performance of AI models on CPUs and GPUs, and is compatible with existing cloud environments and machine learning frameworks. Its other product, Mojo, is a programming language that combines the usability of Python with advanced features. Despite Python's dominance in the machine learning community, Lattner believes Mojo's benefits will drive its adoption. The company claims to have grown its community to over 120,000 developers since its product keynote in May, with leading tech companies already using its infrastructure.
Key takeaways:
- Modular, an AI startup, has raised $100 million in a funding round, bringing its total raised to $130 million. The funds will be used for product expansion, hardware support, and the expansion of Modular’s programming language, Mojo.
- Modular provides an engine that improves the inferencing performance of AI models on CPUs and GPUs, and is compatible with existing cloud environments and machine learning frameworks.
- Modular's Mojo is a programming language that combines the usability of Python with features like caching, adaptive compilation techniques, and metaprogramming. It is currently available in preview and is planned to be released in general availability next month.
- Modular's CEO, Chris Lattner, believes that the company's approach can help solve the complexity and fragmentation issues in the AI technology stack, making AI development more efficient and sustainable.