Python is the dominant language for AI and knowledge science functions, however it lacks the efficiency and low-level management wanted to totally leverage GPU {hardware}. In consequence, builders usually depend on NVIDIA’s CUDA framework, which provides complexity and fragments the event stack.
Mojo is a brand new programming language designed to mix the simplicity of Python with the efficiency of C and the security of Rust. It additionally goals to offer a vendor-independent strategy to GPU programming. Mojo is being developed by Chris Lattner, a famend techniques engineer identified for his seminal contributions to pc science, together with LLVM, the Clang compiler, and the Swift programming language.
Chris is the CEO and Co-Founding father of Modular AI, the corporate behind Mojo. On this episode, he joins the present to debate his engineering journey and his present work on AI infrastructure and the Mojo language.
Kevin Ball or KBall, is the vp of engineering at Mento and an impartial coach for engineers and engineering leaders. He co-founded and served as CTO for 2 firms, based the San Diego JavaScript meetup, and organizes the AI inaction dialogue group by means of Latent House.
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Sponsors
This episode of Software program Engineering Every day is dropped at you by Capital One.
How does Capital One stack? It begins with utilized analysis and leveraging knowledge to construct AI fashions. Their engineering groups use the ability of the cloud and platform standardization and automation to embed AI options all through the enterprise. Actual-time knowledge at scale permits these proprietary AI options to assist Capital One enhance the monetary lives of its clients. That’s expertise at Capital One.
Be taught extra about how Capital One’s trendy tech stack, knowledge ecosystem, and utility of AI/ML are central to the enterprise by visiting www.capitalone.com/tech.
