This week at the AI Infra Summit, the RISC-V chip designer revealed its second generation of Intelligence cores, including ...

The idea isn't novel, but presents major challenges. Tensordyne thinks it has solved them, and promises massive speed and ...

Abstract: Since 2017, NVIDIA GPUs have been equipped with specialized units known as Tensor Cores, which demonstrate remarkable efficiency in processing matrix multiplications (GEMMs). Beyond GEMMs, ...

Abstract: The demand for high-speed matrix multiplication continues to grow due to recent developments in images processing, graphics processing, digital signal processing and communication via ...

We have the 5-letter answer for Christina of "The Matrix Resurrections" crossword clue, last seen in the Universal Crossword August 22, 2025 puzzle. Let us help you solve the crossword clue that has ...

The Google Tensor G5 has been announced, and the company claims that it brings the biggest leap in performance yet, as far as Tensor chips are concerned. This is the first TSMC-made Tensor chip with a ...

On a B200, the nvjet_tst_16x64_64x16_4x1_v_bz_TNN kernel is used, and it takes roughly 8.1 microseconds. On a H200, the nvjet_tst_64x8_64x16_4x1_v_bz_TNT kernel is ...

Maybe this issue is caused by the optimization related to FMA. [Eager] Softmax Input: tensor([[-inf, inf, inf, -inf, inf, inf, inf, inf, -inf, inf]]) [Eager] Softmax ...

The Pixel 10 series is powered by the Tensor G5, Google’s biggest upgrade to its custom silicon. Google touts deeper customization, starting with how it’s manufactured by TSMC on the latest 3nm ...

Google has just announced the Pixel 10 series, and all four phones are powered by the Tensor G5 processor. Tensor chips have traditionally enabled a variety of great Pixel-only features, but have also ...