At WWDC 26, Apple announced the Core AI framework, the official successor to Core ML. It is designed to allow developers to run large language models and generative AI entirely on-device, supporting ...
Full schedule released for the inaugural co-location of KubeCon + CloudNativeCon, OpenInfra Summit, and PyTorch Conference China 2026. Uniting cloud native, open infrastructure, and machine learning ...
Two-year-old startup Mindbeam AI Inc. today released an open-source artificial intelligence inference framework designed to ...
Kanza AI’s Clinical Reasoning System Launches with Lightning AI on NVIDIA Infrastructure in the US
Kanza AI, ranked first in independent evaluations against Claude, GPT, Gemini, and OpenEvidence, has gone live at Freyja Clinic ...
In the era of A.I. agents, many Silicon Valley programmers are now barely programming. Instead, what they’re doing is deeply, deeply weird. Credit...Illustration by Pablo Delcan and Danielle Del Plato ...
Originally, I suggested on LinkedIn that I would write an article to unabstract a PyTorch program and reveal some potential CUDA optimizations we could make by debugging it. I actually took another ...
Over the past two decades, NVIDIA's CUDA platform has shaped the landscape of GPU computing. Initially launched as a parallel computing framework in 2006, CUDA has become the foundation of the modern ...
Google's TorchTPU aims to enhance TPU compatibility with PyTorch Google seeks to help AI developers reduce reliance on Nvidia's CUDA ecosystem TorchTPU initiative is part of Google's plan to attract ...
According to @DeepLearningAI, its PyTorch for Deep Learning Professional Certificate is now available on Coursera with instruction guided by Laurence Moroney and enrollment open immediately (source: ...
According to Andrew Ng (@AndrewYNg), DeepLearning.AI has launched the PyTorch for Deep Learning Professional Certificate taught by Laurence Moroney (@lmoroney). This three-course program covers core ...
#6046 implemented persistent compiler caching for PTXLA. I.e. it lets a pytorch program reuse XLA compilation results across runs. This feature is opt-in currently. We should make it enabled by ...
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