Latest Blog Posts

• Published on

  December 14, 2025

  

  Efficient AI at the Edge with On-Device Architectures

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  Beyond the cloud, the next AI revolution is on-device. This article breaks down the architectural strategies (like MobileNets), compression techniques (quantization, pruning), and compiler magic required to run powerful AI models under the tight constraints of edge devices.

  7 min read

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• Published on

  December 7, 2025

  

  The Scalable Architecture of Mixture-of-Experts Models

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  A deep dive into Mixture-of-Experts (MoE), the architecture powering models like Mixtral. Explore how MoE enables massive parameter counts with a fraction of the computational cost through sparse, conditional computation, and the role of gating networks and load balancing.

  7 min read

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• Published on

  November 30, 2025

  

  The AI Compiler Bridges Models and Hardware

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  We celebrate the AI models, but not the unsung heroes that make them run fast. This article dives into the world of AI compilers like TVM and MLIR, explaining how they translate high-level model graphs into optimized code for diverse hardware targets through techniques like operator fusion, tiling, and even ML-driven auto-tuning.

  8 min read

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