Shimon Ben-David, CTO, WEKA and Matt Marshall, Founder & CEO, VentureBeat As agentic AI moves from experiments to real production workloads, a quiet but serious infrastructure problem is coming into ...

Lightbits Labs Ltd. today is introducing a new architecture aimed at addressing one of the most stubborn bottlenecks in large-scale artificial intelligence inference: the growing mismatch between the ...

But there’s one spec that has caused some concern among Ars staffers and others with their eyes on the Steam Machine: The GPU comes with just 8GB of dedicated graphics RAM, an amount that is steadily ...

The growing imbalance between the amount of data that needs to be processed to train large language models (LLMs) and the inability to move that data back and forth fast enough between memories and ...

When an enterprise LLM retrieves a product name, technical specification, or standard contract clause, it's using expensive GPU computation designed for complex reasoning — just to access static ...

Website XDA claims that the Intel Arc B770 graphics card is dead, a casualty of "financial viability." In other words, with memory chips now so expensive, launching a new 16 GB GPU at anything ...

Meta released a new study detailing its Llama 3 405B model training, which took 54 days with the 16,384 NVIDIA H100 AI GPU cluster. During that time, 419 unexpected component failures occurred, with ...

This week, Amazon Web Services announced the availability of its first UltraServer pre-configured supercomputers based on Nvidia’s “Grace” CG100 CPUs and its “Blackwell” B200 GPUs in what is called a ...

TL;DR: NVIDIA is reportedly developing a China-specific H30 AI GPU using GDDR memory instead of restricted HBM due to US export controls. This shift may limit performance compared to previous models, ...