Training AI models is expensive, and the world can tolerate that to a certain extent so long as the cost inference for these increasingly complex transformer models can be driven down. Training is ...

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.

Every GPU cluster has dead time. Training jobs finish, workloads shift and hardware sits dark while power and cooling costs keep running. For neocloud operators, those empty cycles are lost margin.

An analog in-memory compute chip claims to solve the power/performance conundrum facing artificial intelligence (AI) inference applications by facilitating energy efficiency and cost reductions ...

WSL 3 GPU passthrough for Windows arrives at Microsoft Build 2026, letting developers run Ollama, PyTorch, and llama.cpp ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Dany Lepage discusses the architectural ...

The new 7nm-class chip, reportedly in testing, signals a shift to domestic fabrication and aims to rival Nvidia’s China-compliant GPUs while maintaining CUDA compatibility. Alibaba is reportedly ...

A lot of people will tell you that PyTorch is for NVIDIA GPUs, but that's not actually true. PyTorch is platform-agnostic; it's just that many packages built on PyTorch make heavy use of NVIDIA's CUDA ...

Despite ongoing speculation around an investment bubble that may be set to burst, artificial intelligence (AI) technology is here to stay. And while an over-inflated market may exist at the level of ...

FuriosaAi, the inference  chip developer, has joined Broadcom to develop its third-generation AI accelerator. Sampling is scheduled for the first half of 2028. This collaboration evolves Furiosa’s ...