The technique aims to ease GPU memory constraints that limit how enterprises scale AI inference and long-context applications ...
Today, MLCommons ® announced new results for its industry-standard MLPerf ® Inference v6.0 benchmark suite. This release includes several important advances that ensure the benchmark suite tests ...
Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. The panelists discuss the dramatic escalation ...
Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Ludi Akue discusses how the tech sector’s ...
Researchers at Tsinghua University and Z.ai built IndexCache to eliminate redundant computation in sparse attention models ...
A new technical paper titled “Efficient Acceleration of Deep Learning Inference on Resource-Constrained Edge Devices: A Review” was published in “Proceedings of the IEEE” by researchers at University ...
Large language models (LLMs) have made significant strides in artificial intelligence (AI) natural language generation. Models such as GPT-3, Megatron-Turing, Chinchilla, PaLM-2, Falcon, and Llama 2 ...
Morning Overview on MSN
Google’s new AI compression could cut demand for NAND, pressuring Micron
A new compression technique from Google Research threatens to shrink the memory footprint of large AI models so dramatically ...
NORMAN, Okla. – Song Fang, a researcher with the University of Oklahoma, has been awarded funding from the U.S. National Science Foundation to create training-free detection methods and novel ...
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