NVIDIA AI infrastructure bet collapses as Caffe creator Yangqing Jia quits after a broken open-source pledge. SemiAnalysis ...

Autonomous AI post-training reached frontier scale for the first time: NVIDIA researchers published a paper showing an AI ...

Saturn Cloud, the AI token factory platform for GPU clouds, AI Factory operators, and enterprises, today announced an integration with Spectro Cloud, the Kubernetes management platform trusted by ...

Fully Sharded Data Parallel (FSDP) in PyTorch, integrated with Ray, optimizes GPU memory usage for scalable training of models like Qwen3-TTS with 1.7B parameters. Training massive AI models has ...

Guardians and airmen of the 4th Electromagnetic Warfare Squadron, Mission Delta 3, participate in Space Flag 26-1 at Peterson Space Force Base, Colorado, Dec. 12, 2025. (Dave Grim/U.S. Space Force) ...

AI is inspiring organizations to rethink a fundamental IT concept: the data center. For decades, the data center was a centralized place. It was a handful of large, secure facilities where ...

According to DeepLearning.AI (@DeepLearningAI), the new PyTorch for Deep Learning Professional Certificate, led by Laurence Moroney, provides in-depth, practical training on building, optimizing, and ...

Meta has open-sourced CTran, the tech giant’s custom transport stack used to perform in-house optimizations. Detailed in a PyTorch blog post, first picked up by SemiAnalysis, CTran contains multiple ...

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Hosted under the Linux Foundation, the PyTorch Foundation acts as a central hub for some of the most important open source AI technologies. Its mission is to reduce fragmentation and foster ...

The PyTorch team at Meta, stewards of the PyTorch open source machine learning framework, has unveiled Monarch, a distributed programming framework intended to bring the simplicity of PyTorch to ...

Multi-GPU PyTorch distributed training fails with segmentation fault (SIGSEGV) when using NCCL backend, despite CUDA drivers being newer than runtime requirements. I think NVIDIA drivers are typically ...