When a language model generates text, it stores a running memory of the conversation called the KV cache. Here is why it can rival the model...
An idle AI chip is an expensive one. Here is how batching and scheduling keep accelerators busy, and the tradeoffs between speed and efficiency.
Computers use several kinds of memory, each with a different job. Here is how SRAM, DRAM and flash differ and where each fits in AI hardware.
In the late 1950s, two engineers independently figured out how to build a whole circuit on one piece of material. Here is how the integrated circuit...
The graphics processor was built to render games, not to train neural networks. Here is how the GPU evolved into the engine of modern AI.
Field-programmable gate arrays can be rewired after they are made. Here is how FPGAs work, where they fit in AI and how they compare with GPUs...
Processors speak different instruction set languages. Here is what x86, Arm and RISC-V are, how they differ and where each shows up in AI infrastructure.
Before a chip is manufactured, it goes through years of design, simulation and verification. Here is a walk-through of the chip design process.
Chip factories are built around cleanrooms with air far purer than any ordinary room. Here is why cleanliness matters and how these spaces work.
Chips from the same wafer can perform differently, and some do not work at all. Here is how yield and binning work, and why they shape...
AI chips include specialized hardware built only for matrix math. Here is how tensor-core-style units and systolic arrays work in general terms.
Behind every chatbot reply and image recognition result is a vast amount of matrix multiplication. Here is what that math is and why chips are built...
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Markets and the AI build-out on iPhone, iPad and Apple Watch: live quotes, plain-English research and headlines, with in-app trading on the way.
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Every app in the family is coming to Apple’s new foldable. Open it, and each app spreads into a two-pane layout: the feed on one side, the story on the other.