When building large-scale AI GPU clusters for training or inference, the backend network should be high-performance, lossless, and predictable to ensure maximum GPU utilization. This is hard to ...

Dense variants from 0.6 B to 32 B make it easy to prototype on laptops and scale to multi-GPU clusters without rewriting prompts. Running the weights on-premises means all prompts and outputs can ...

The increasing density of AI workloads – driven by models with trillions of parameters and GPU clusters pulling 100kW+ per rack – is forcing a rethink of traditional abstractions. Compute is becoming ...

At close: April 29 at 4:00:01 p.m. EDT ...

Tensor Fusion is a state-of-the-art GPU virtualization and pooling solution designed to optimize GPU cluster utilization to its fullest potential.

As AI moves from lab to industry, supercomputers grow into billion-dollar behemoths.

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports ...