Khawaja Shams shares a distributed systems perspective on scaling LLM inference stacks efficiently. He discusses practical strategies for optimizing GPU utilization, managing KV cache memory cliffs, ...
IBM said in an IBM Research blog post published October 26, 2026 that software updates delivered across the PyTorch ecosystem ...
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Google LiteRT Tensor API : créer des modèles d’IA en C++ et les exécuter directement sur l’appareil
Google lance LiteRT Tensor API, une interface C++ pour créer des modèles d’IA natifs et optimiser leur exécution sur CPU, GPU ...
The "Einstein field equations" are the core of Einstein's general theory of relativity.This single line of mathematical ...
Google open-sources TorchTPU, a native PyTorch backend built with Meta that lets developers run models on Cloud TPUs with ...
Google announced on October 20, 2026, at PyTorch Conference 2026 that TorchTPU, its native PyTorch stack for Tensor ...
Google open-sourced TorchTPU, a native PyTorch backend for Cloud TPUs that reaches 52% MFU training Qwen 3 8B.
NVIDIA outlined three cuTile kernels for Mamba-2 and said optimized forward-pass code ran 1.14x to 1.82x faster than a Triton ...
Introduction: 'Bugs that don't throw errors' are the most terrifyingWhen implementing LLMs (Large Language Models) in Python ...
Tensormesh, the creators of LMCache, has announced Tensormesh Platform, the data management layer for AI inference. This ...
AI startup Visko brought Orbis, its interactive, continuously streaming video world model, to production with TPUs in just 30 days.
Your laptop’s idle NPU can sort 100 gigabytes of family photos about 3 times faster than the CPU, without draining the battery or touching the cloud.
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