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OpenAI Suspends Large-Scale Use of Google TPU Chips, NVIDIA and AMD Remain Core Suppliers

OpenAI recently announced that, despite initial testing, it will not adopt Google's TPU chips on a large scale. TPU (Tensor Processing Unit) is a custom ASIC chip developed by Google for machine learning tasks, designed to accelerate the training and inference of neural networks. TPU uses a dataflow-driven architecture, enabling efficient matrix multiplication pipeline computing and reducing memory access latency. Image source note: The image is AI-generated, provided by the licensing service Midjourney. OpenAI stated that it will continue

7.2k 4 days ago

OpenAI Suspends Large-Scale Use of Google TPU Chips, NVIDIA and AMD Remain Core Suppliers

Xpeng G7 Global Launch: Becomes a New Benchmark for L3-Level AI Cars with Self-Developed Turing Chip!

On the evening of June 11, XPeng Motor officially released its latest model - XPeng G7. This car is known as the world's first AI car with L3-level computing power. Its biggest highlight lies in the installation of XPeng’s self-developed Turing AI chip, which has a computational capability equivalent to three Orin-X chips, showcasing XPeng's technical advantages in the intelligent vehicle field. The XPeng G7 is equipped with a powerful 40-core processor that can run up to 30B simulation parameters and features two self-developed neural network processors.

6.6k yesterday

Tsinghua University Develops 'Taiji-II' Optical Training Chip for Efficient Training of Large-Scale Neural Networks in Optical Computing Systems

Tsinghua University's Departments of Electronic Engineering and Automation have jointly developed the "Taiji-II" optical training chip, enabling efficient and precise optical computation training for large-scale neural networks. This innovation overcomes the limitations of existing optical computing technology, eliminating the reliance on GPUs for offline modeling and simplifying the training process. The chip demonstrates exceptional performance....

13k 17 hours ago

Cambridge, Yale, and Cornell Breakthrough: PNN Technology - The Key to Expanding AI Large Models by 1000 Times

Recently, scholars from multiple institutions have discovered a new technology known as Physical Neural Networks (PNNs). This is not the kind of digital algorithms we are familiar with that run on computers, but a completely new, intelligent computing method based on physical systems. As the name suggests, PNNs utilize the characteristics of physical systems to perform computations in neural networks. Although they are still a niche area of research, PNNs could be one of the significantly underv

6.3k 1 days ago

Models

Hypencoder.8_layer

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Hypencoder is a dual-encoder model for information retrieval, consisting of a text encoder and a hypernetwork (Hypencoder), capable of converting text into small neural networks for computing relevance scores.

Natural Language Processing

TransformersEnglish

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