The Hallway Track
Engineering Insights

Taming the AI Hardware Cambrian Explosion — Abdul Dakkak, Modular

AI Engineer · Oct 11, 2026 · Engineering Insights

Modular built a unified AI hardware abstraction stack to tame accelerator fragmentation

“we thought: this is a complete mess. Let's redesign the stack from scratch and create a unified layer for the entire hardware.”

Abdul Dakkak from Modular describes the 'Cambrian explosion' of AI hardware (Nvidia, AMD, Intel, ARM, Apple) creating a fragmented software stack across vLLM, SGLang, TRTLM, and Llama.cpp. Modular's response is a full-stack redesign: the Mojo programming language for heterogeneous hardware, the MAX inference engine built atop it, and a cloud orchestration layer for distributed inference. The pitch is a single programmable platform that abstracts hardware differences while competing with CUDA performance.

inference hardware-abstraction mojo max-engine modular accelerators

Watch / read the original source →