Running LLMs Anywhere with MLC: Square Codex and the Future of Cross-Platform AI
Running LLMs Anywhere with MLC
Bringing large language models to mobile and web environments used to require heavy infrastructure and complex integrations. Today, MLC (Machine Learning Compilation) changes that by enabling developers to compile once and deploy LLMs anywhere, from iOS to Android to the browser. At Square Codex, we integrate this technology into enterprise-grade solutions, allowing businesses to create seamless, cross-platform AI experiences with lower costs and faster time to market.
Our nearshore teams, based in Costa Rica, have experience with modern LLM orchestration and deployment tools, including MLC, ensuring that our clients are equipped to build apps that are not only intelligent but also scalable and efficient.
What Is MLC and How Does It Work?
MLC is an open-source framework that uses TVM (Tensor Virtual Machine) to compile language models into portable formats. The idea is simple but powerful: train or fine-tune your LLM once, and then use MLC to generate efficient runtime code for different platforms, including web apps, smartphones, and edge devices.
This means you can run powerful models like LLaMA, Mistral, or custom fine-tunes directly on user devices, without relying on cloud APIs or expensive infrastructure. It unlocks fast, secure, and offline-compatible AI features for a wide range of applications.
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How Square Codex Leverages MLC for Real Business Impact
At Square Codex, we help companies navigate the complexity of deploying models across environments. Our developers are well-versed in the intricacies of MLC, from model quantization and compilation to interface integration and performance tuning.
We design architectures where AI runs locally on the device, reducing latency and preserving data privacy. This is especially important in industries such as finance, healthcare, and legal, where compliance and user experience must go hand in hand.
With MLC, our teams can deliver apps that work offline, respond instantly, and use minimal device resources. Whether you are building an AI assistant, smart document reader, or a multilingual chatbot, we ensure the model works across platforms without duplication or inefficiencies.
Scalable LLM Deployment Without the Vendor Lock-In
One of the biggest advantages of using MLC is the ability to avoid platform-specific limitations. At Square Codex, we champion open tools that give our clients control. You are not tied to a specific hardware vendor or dependent on fluctuating cloud costs.
Are you looking for developers?
We build solutions that scale from prototypes to full product deployments, using frameworks like MLC to give you maximum flexibility. Our nearshore development approach ensures that our teams are fully integrated into your workflow and timezone, delivering consistent and rapid iterations.
Empowering AI Portability with Square Codex
MLC is a key part of how Square Codex helps companies build smarter, faster, and more adaptable AI products. By combining this cross-platform compiler with our skilled engineering teams, we provide complete solutions for clients looking to put LLMs in users’ hands—whether those hands are holding a phone, browsing the web, or operating on the edge.
We believe AI should not be limited by infrastructure. With MLC and our nearshore talent, we make sure it never is.
