This deal directly challenges Google’s TPUs, positioning NVDA to dominate both AI training and inference with ...

A new technical paper titled “MLP-Offload: Multi-Level, Multi-Path Offloading for LLM Pre-training to Break the GPU Memory Wall” was published by researchers at Argonne National Laboratory and ...

Nvidia plans to release an open-source software library that it claims will double the speed of inferencing large language models (LLMs) on its H100 GPUs. TensorRT-LLM will be integrated into Nvidia's ...

Just 15 days after listing, China-based AI chip maker Moore Threads moved quickly to signal confidence. At a new-generation chip launch, founder and CEO James Zhang said companies training large ...

Amid the US–China tech war, China is accelerating its move away from Nvidia. The Chinese Academy of Sciences (CAS) Institute of Automation reported new results for its brain-inspired LLM, SpikingBrain ...

Researchers at Nvidia have developed a new technique that flips the script on how large language models (LLMs) learn to reason. The method, called reinforcement learning pre-training (RLP), integrates ...

Nvidia Corporation remains a Strong Buy as surging data center GPU demand and AI ecosystem growth drive robust profit potential and new highs in 2025. The OpenAI-AMD partnership intensifies GPU ...

Demand for AI solutions is rising—and with it, the need for edge AI is growing as well, emerging as a key focus in applied machine learning. The launch of LLM on NVIDIA Jetson has become a true ...

In this age, where AI models often demand cutting-edge GPUs and major computational resources, a recent experiment has shown us the feasibility of running a large language model (LLM) on a vintage ...

As IT-driven businesses increasingly use AI LLMs, the need for secure LLM supply chain increases across development, ...