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Posts tagged with DevOps

Using WASM as a Sandbox for AI agents

Artificial intelligence (AI) agents are becoming increasingly powerful, but with great capability comes the need for strong isolation and security guarantees. WebAssembly (WASM) offers a lightweight, portable, and sandboxed execution environment that can protect host systems while still delivering high performance. In this post, we explore how WASM can serve as an effective sandbox for AI agents, discuss the technical advantages, outline common architectures, and highlight real‑world use cases.

Why Choose WebAssembly for AI Sandboxing?

  • Platform independence: WASM modules run consistently across browsers, servers, edge devices, and even embedded systems without modification.
  • Strong security model: The runtime enforces memory
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Using Docker for orchestrating AI training

Artificial intelligence (AI) projects often involve complex pipelines, massive datasets, and a multitude of dependencies. Managing these moving parts manually can quickly become a nightmare, leading to inconsistent results, wasted compute cycles, and difficult reproducibility. Docker provides a lightweight, portable, and reproducible environment that can dramatically simplify the orchestration of AI training workloads. In this post we’ll explore why Docker is a natural fit for AI, walk through a practical setup, and share best practices for scaling and maintaining robust training pipelines.

Why Choose Docker for AI Training?

  • Reproducibility: Container images capture the exact versions of libraries, drivers, and
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