Semiconductor Engineering

Deploying PyTorch Models On Edge Devices

AI is being rapidly adopted in edge computing. As a result, it is increasingly important to deploy machine learning models on Arm edge devices. Arm-based processors are common in embedded systems ...
InfoWorld

Meta releases PyTorch inference framework for edge devices

ExecuTorch 1.0 allows developers to deploy PyTorch models directly to edge devices, including iOS and Android devices, PCs, and embedded systems, with CPU, GPU, and NPU hardware acceleration.
Reuters

Google works to erode Nvidia's software advantage with Meta's help

Google's TorchTPU aims to enhance TPU compatibility with PyTorch Google seeks to help AI developers reduce reliance on Nvidia's CUDA ecosystem TorchTPU initiative is part of Google's plan to attract ...
DatacenterDynamics

FBI considers deploying AI LLM supercomputers with Nvidia B300 GPUs or Google TPUs

The Federal Bureau of Investigation (FBI) is considering acquiring AI supercomputer hardware. In a request for information ...
Diginomica

PyTorch Foundation adds Helion and Safetensors - and the open AI stack gets a little harder to ignore

Mark Collier briefed me on two updates under embargo at KubeCon Europe 2026 last month: Helion, which opens up GPU kernel programming to a far wider pool of developers, and Safetensors, which fixes a ...