TPUv7 offers a viable alternative to the GPU-centric AI stack has already arrived — one with real implications for the economics and architecture of frontier-scale training.

Nvidia's AI monopoly fractures as Google Gemini 3 and Anthropic Claude 4.5 defect to custom TPUs. This seismic shift ...

Software-Defined Architecture Delivers Breakthrough Performance Gains, Unlocking Distributed AI Inference at the Forward Edge and Powering AI for the Physical World Oct. 30, 2025 / PRZen / NEW YORK — ...

Turns out Java can do serverless right — with GraalVM and Spring, cold starts are tamed and performance finally heats up. Java’s powerful and mature ecosystem has long been a top choice for enterprise ...

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.

The launch comes as the PyTorch community gathers for PyTorch Conference 2025, reflecting Lightning's continued commitment to building the best platform for PyTorch developers and researchers. The new ...

Lightning, creators of PyTorch Lightning, today announced a suite of new tools built to accelerate distributed training, reinforcement learning, and experimentation for PyTorch developers and ...

Lightning, creators of PyTorch Lightning, today announced a suite of new tools built to accelerate distributed training, reinforcement learning, and experimentation for PyTorch developers and ...

According to Soumith Chintala, co-creator of PyTorch, Apple’s engineering team has not dedicated sufficient resources to PyTorch support on MacStudio, resulting in a subpar AI development experience ...

A much more performant TypeScript is now available in the new Visual Studio 2026 Insiders build, capitalizing on speed gains achieved by porting the language compiler to the native Go language. The ...

I just try to compile with cuda 13 and it fails. Also i found a bug: There is a bug with gcc13 and use native Compiler bug (GCC-13 in aarch64 with SVE/SVE256 and -march=native), compiling the tests, ...

While testing both eager and aot_eager modes, I observed that aot_eager does not capture exceptions as expected. I found that during graph optimization, the torch.cuda.synchronize() call is removed in ...