Cornelis and NextSilicon today announced at ISC High Performance 2026 a collaboration to build and evaluate joint reference architectures for AI and high-performance computing. The work pairs the ...

Workload-optimized Nvidia Blackwell deployments designed to reduce AI inference costs by approximately 20% compared with standard reference architectures ATLANTA, GA / ACCESS Newswire / June 11, 2026 ...

Ancestral recombination graphs (ARGs) summarize the complex genealogical relationships between individuals represented in a sample of DNA sequences. Their use is currently revolutionizing the field of ...

AMD is strategically positioned to dominate the rapidly growing AI inference market, which could be 10x larger than training by 2030. The MI300X's memory advantage and ROCm's ecosystem progress make ...

We regularly infer other people’s thoughts and feelings from observing their actions, but how this ability contributes to successful social behavior and interactions remains unknown. We show that ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More MLCommons is out today with its MLPerf 4.0 benchmarks for inference, once ...

While the tech world obsesses over headlines about the $100 million price tag to train GPT-4, the real economic story is happening in inference: the ongoing cost of actually running AI models in ...

Google researchers have warned that large language model (LLM) inference is hitting a wall amid fundamental problems with memory and networking problems, not compute. In a paper authored by ...