Author(s): Tim Urista | Senior Cloud Engineer

Originally published on Towards AI.

Examining LocalAI, Gorgonia, and Tensorflow bindings for inference

As we enter 2025, the landscape CFS of artificial intelligence (AI) development continues to evolve rapidly. While Python has long been the dominant language in AI and machine learning, other programming languages are increasingly making their mark. Among these, Go (or Golang) has emerged as a compelling option for AI development, particularly in production environments and cloud-native applications.

This article explores the potential of Go for AI development in 2024, examining its advantages such as performance, concurrency support, and a growing ecosystem of AI-related tools and libraries like Gorgonia and LangChainGo. It discusses key reasons to consider Go, highlights essential packages for AI, and addresses challenges like ecosystem maturity compared to Python. The author emphasizes Go’s strengths in production settings while acknowledging the need for careful consideration of project requirements and team expertise when choosing it for AI tasks.

Read the full blog for free on Medium.

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Published via Towards AI