Modular's Mojo reached its 1.0 milestone on Tuesday, promising developers a stable, production-ready, general-purpose programming language. But its primary purpose is more specific: to unify the AI software stack by providing a way to target the diverse set of GPUs, CPUs, ASICs, and other heterogeneous systems that are used to run AI workloads. Mojo, in conjunction with the MAX inference framework, aspires to make it easier to develop AI software, systems, and tools without being tied to vendor-specific platforms like Nvidia's CUDA (Compute Unified Device Architecture) or AMD's ROCm. CUDA is Nvidia's proprietary platform for programming GPUs and works with the company's own hardware. Many AI-oriented tech companies that compete with Nvidia...
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