Phison Electronics (8299TT), a global leader in NAND flash controllers and storage solutions, today announced expanded ...
Nvidia's DGX Spark and its GB10-based siblings are getting a major performance bump with the platform's latest software ...
A new technical paper titled “Hardware Acceleration for Neural Networks: A Comprehensive Survey” was published by researchers ...
Intel's 2026 turnaround relies on AI trends, foundry growth, and competitive products. Learn what's at stake and what this ...
As the world’s leading platform providers and champions for advancing AI globally, NVIDIA and Microsoft continue to deliver ...
AutoJudge introduces a novel method to accelerate large language model inference by optimizing token processing, reducing human annotation needs, and improving processing speed with minimal accuracy ...
Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...
Remember DeepSeek, the large language model (LLM) out of China that was released for free earlier this year and upended the AI industry? Without the funding and infrastructure of leaders in the space ...
A new post on Apple’s Machine Learning Research blog shows how much the M5 Apple silicon improved over the M4 when it comes to running a local LLM. Here are the details. A couple of years ago, Apple ...
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 ...
A research article by Horace He and the Thinking Machines Lab (X-OpenAI CTO Mira Murati founded) addresses a long-standing issue in large language models (LLMs). Even with greedy decoding bu setting ...
We are from the openFuyao community and are actively working on cloud-native LLM inference acceleration. We would like to share our initial proposal, which introduces a hot data caching mechanism ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback