The $12K machine promises AI performance can scale to 32 chip servers and beyond but an immature software stack makes harnessing that compute challenging ...
How CPU-based embedding, unified memory, and local retrieval workflows come together to enable responsive, private RAG ...
Nvidia's AI monopoly fractures as Google Gemini 3 and Anthropic Claude 4.5 defect to custom TPUs. This seismic shift ...
This repository contains a structured collection of tutorials designed to help you learn PyTorch from the ground up. Each notebook focuses on specific concepts and includes practical examples with ...
You can create a release to package software, along with release notes and links to binary files, for other people to use. Learn more about releases in our docs.
As robotaxi adoption continues, wild ideas like personal ownership and renting them out are starting to pop up again.
TPUs are Google’s specialized ASICs built exclusively for accelerating tensor-heavy matrix multiplication used in deep learning models. TPUs use vast parallelism and matrix multiply units (MXUs) to ...
MotorTrend on MSN
Tensor Wants to Sell You a Private, Waymo-Style Self-Driving Car
The former robotaxi company says it will begin selling ground-up Level 4 autonomous vehicles to private customers by January 2027.
Google's system leverages optical circuit switching (OCS) to create direct, low-latency optical paths between TPU chips, minimizing signal conversion losses.
Tech Xplore on MSN
Researchers extend tensor programming to the continuous world
When the FORTRAN programming language debuted in 1957, it transformed how scientists and engineers programmed computers. Complex calculations could suddenly be expressed in concise, math-like notation ...
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