Nvidia introduces Diffusion Nemotron, a 60-billion parameter two-tower AI model that uses parallel block processing to speed up text generation.

It began with video games, a paintball experiment and a bold bet that few understood. Today, Nvidia has become a company every tech giant depends on to build the future of artificial intelligence.

NVIDIA diffusion language model Nemotron TwoTower achieves 2.42x LLM inference throughput without a full retraining run, ...

Chinese AI models are rapidly closing the gap with U.S. frontier systems. This analysis examines what their growing ...

Meituan’s LongCat-2.0, a 1.6-trillion-parameter model, is the first of its size trained end-to-end on a 50,000-chip domestic cluster, China says, amid US export curbs.

DSpark can make decoding faster, but acceptance quality still determines how much speed the system actually realizes.

OpenAI today launched a limited preview of its GPT–5.6 series, which includes flagship model Sol, a balanced everyday work model named Terra, and Luna, a fast and affordable model. Terra is similar in ...

It has been nine years since a Chinese HPC supercomputer was at the top of the High Performance Linpack performance rankings, but as we all know, China did break through the exascale flops barrier at ...

Fault-tolerant quantum simulation just got 250 times cheaper to run. QuEra Computing and Los Alamos published an architecture ...

Lotte Biologics has teamed up with US biotech firm Asimov to unveil a next-generation contract development organization (CDO) ...

Rather than generating text word by word, Google's experimental open-source model drafts entire passages simultaneously using diffusion, resulting in up to 4x faster inference.