Researchers at the Tokyo-based startup Sakana AI have developed a new technique that enables language models to use memory more efficiently, helping enterprises cut the costs of building applications ...
ElastixAI Inc. today emerged from stealth to tackle the systemic inefficiencies and high costs of generative AI (GenAI) inference. Founded by former Apple and Meta machine learning (ML) researchers, ...
Inception, the company behind the first commercial diffusion large language models (dLLMs), today announced the launch of Mercury 2, the fastest reasoning LLM and first reasoning dLLM. Mercury 2 ...
A new technical paper titled “Combating the Memory Walls: Optimization Pathways for Long-Context Agentic LLM Inference” was published by researchers at University of Cambridge, Imperial College London ...
Image courtesy by QUE.com Artificial intelligence is moving from flashy demos to real-world deployment—and the engine behind ...
Taalas has launched an AI accelerator that puts the entire AI model into silicon, delivering 1-2 orders of magnitude greater ...
BEIJING--(BUSINESS WIRE)--On January 4th, the inaugural ceremony for the 2024 ASC Student Supercomputer Challenge (ASC24) unfolded in Beijing. With a global interest, ASC24 has garnered the ...
A new technical paper titled “System-performance and cost modeling of Large Language Model training and inference” was published by researchers at imec. “Large language models (LLMs), based on ...
XDA Developers on MSN
I served a 200 billion parameter LLM from a Lenovo workstation the size of a Mac Mini
This mini PC is small and ridiculously powerful.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results