LLVM powers the core development tools, operating systems, and most applications at Apple Computer, where it long ago ...

Daisy-chaining two of Dell's Nvidia GB10 DGX Spark systems didn't just pump up my home AI lab—it fundamentally changed how I think about tinkering with local AI.

Compute you can’t feed is wasted silicon. The hard, still-unsolved problem is the memory architecture that keeps every tensor unit working, and that is what we designed from the core up.” — ...

Google has launched TorchTPU, an engineering stack enabling PyTorch workloads to run natively on TPU infrastructure for enterprise AI. The machine learning talent pool almost universally writes code ...

SAN FRANCISCO, CA / ACCESS Newswire / March 31, 2026 / TensorWave today announced Beyond Summit (formerly Beyond CUDA), a one-day event taking place on April 8, 2026 in San Francisco, bringing ...

I lead an LLM pre-training team at Yandex and optimise large-scale distributed training runs. Whether you’re an ML engineer, a researcher or just decided to play around with a random ML repository ...

AI runs on Linux. Period. There are no substitutes. Canonical and Red Hat are building Nvidia Vera Rubin-specific Linux distros. The Linux kernel is being tuned for AI and ML workloads. Modern AI ...

For more than a decade, Nvidia’s GPUs have underpinned nearly every major advance in modern AI. That position is now being challenged. Frontier models such as Google’s Gemini 3 and Anthropic’s Claude ...

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 ...