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Web AI

When we think about AI we immediately think about the powerful, large language models like GPT4, Claude, Mixtral or Llama. In the case of closed-source models, this requires relying on an expensive external provider. In the case of open source models, we can use an external providers or we can host the model ourselves on our own machines, typically in some cloud.

There is however also the possibility to run AI models directly in the browser. Nowadays, end-user devices like laptops or mobile phones increasingly ship with a GPU or even a dedicated AI-processor. WebGPU, the successor of WebGL, was designed with Machine-Learning in mind and is getting more and more supported, just recently on Android mobile.

Benefits of Browser-Based AI

Modern devices increasingly support AI workloads, enabling new possibilities:

  • Real-Time Performance: Eliminate network latency for instant responses
  • Enhanced Privacy: Process sensitive data locally without third-party exposure
  • Cost Efficiency: Utilize end-user hardware resources
  • Improved Reliability: Operate independently of cloud service availability

How we can help you

At betalyra we have extensive experience with browser-based AI and can support you in the end to end design of your AI use-case:

  • UX/UI Design: Create intuitive interfaces for AI interactions
  • Technical Implementation: Develop solutions in TypeScript or Rust/WASM
  • Model Optimization: Fine-tune models for browser environments
  • Performance Optimization: Ensure smooth operation across devices