Evolving hardware, tools, and platforms powering modern AI workloads

This cluster highlights how the AI stack is maturing from chips to cloud services and dev tools. New infrastructure ranges from Dell’s enterprise inference servers and Axelera’s funded edge AI chips to AMD–Nutanix’s open enterprise AI platform and 100G/400G network partnerships. On the software side, Vercel introduces managed queues, Parakeet.cpp brings fast ASR to C++ with Metal, and Conda/Mamba are framed as critical package managers for GPU AI. Emerging AI-assisted design for programmable logic shows how AI is now helping build the very hardware it runs on, tightening the loop between compute, infrastructure, and developer productivity.