MLCommons announced new results for the MLPerf Training v5.0 benchmark suite, highlighting the rapid growth and evolution of ...

Nvidia announced today its Blackwell chips are leading the AI benchmarks when it comes to training AI large-language models.

Huawei’s progress in AI model architecture could prove significant, as the company seeks to reduce its reliance on US ...

Nvidia's Blackwell chips have demonstrated a significant leap in AI training efficiency, substantially reducing the number of ...

F or those who enjoy rooting for the underdog, the latest MLPerf benchmark results will disappoint: Nvidia’s GPUs have ...

Investing.com -- Nvidia (NASDAQ: NVDA )’s latest chips have shown progress in training sizable artificial intelligence (AI) ...

Nvidia's newest chips have made gains in training large artificial intelligence systems, new data released on Wednesday ...

Download Google AI Edge Gallery mobile app that runs powerful generative AI models completely offline on your device. Here is ...

The MLPerf Training v5.0 round includes 201 performance results from 20 submitting organizations: AMD, ASUSTeK, Cisco Systems ...

MangoBoost, a provider of cutting-edge system solutions for maximizing compute efficiency and scalability, has validated the scalability and efficiency of large-scale AI training on AMD Instincttm ...

The context size problem in large language models is nearly solved. Here's why that brings up new questions about how we ...

DeepSeek-V3 represents a breakthrough in cost-effective AI development. It demonstrates how smart hardware-software co-design ...