As some Chinese AI labs (most notably Alibaba’s latest Qwen models, Qwen3.5 Omni and Qwen 3.6 Plus) have begun pulling back ...

Like past versions of its open-weight models, Google has designed Gemma 4 to be usable on local machines. That can mean ...

NVIDIA’s RTX 50 Series graphics cards have enough VRAM to load Gemma 4 models, and a range of others. Their Tensor Cores help accelerate AI workloads for faster training and inference, and the ...

These tech stocks look particularly well positioned to benefit from this opportunity.

After emerging as a GPU-as-a-service vendor for AI model training, CoreWeave is moving toward GPU- and CPU-powered compute ...

Intel Corporation INTC has improved artificial intelligence (AI) inference performance with its latest MLPerf Inference v6.0 results, highlighting the power of Intel Xeon 6 CPUs combined with Intel ...

Researchers at Tsinghua University and Z.ai built IndexCache to eliminate redundant computation in sparse attention models ...

Logging, traceability and model versioning are not compliance niceties; they are architectural prerequisites for operating AI ...

The latest offering from Nvidia could juice its revenue and share price.

Global IT spending has crossed the multitrillion-dollar mark, with AI infrastructure representing one of the fastest-growing ...

Inference platform FriendliAI is partnering with Samsung’s IT division to offer Nvidia GPU-based frontier AI services.

The focus of artificial-intelligence spending has gone from training models to using them. Here’s how to understand the difference—and the implications.