Clusters

A new computing cluster delivers more bang per chip. Cerebras unveiled Andromeda, a supercomputer based on its processors. Unlike conventional clusters, the system’s processing speed rises linearly with additional processors.

The ban impacts Nvidia's A100 and H100 chips, and AMD's MI250.

Facebook’s parent company is staking its future on a new compute cluster. Meta unveiled AI Research SuperCluster (RSC), which is designed to accelerate training of large models for applications like computer vision, natural language processing, and speech recognition.

A high-profile semiconductor startup made a bid for the future of AI computation. UK startup Graphcore released the Colossus Mk2, a processor intended to perform the matrix math calculations at the heart of deep learning more efficiently than other specialized processors.

The for-profit research organization OpenAI has a new supercomputer to help achieve its dream of building the world’s most sophisticated AI. Microsoft engineered the new hardware network to train immense models on thousands of images, texts, and videos simultaneously.

Quantum computing has made great strides in recent years, though it still faces significant challenges. If and when it gets here, machine learning may be ready for it.

Intel, which dominates the market for general-purpose processors, is shipping its long-awaited AI chips. The chip giant announced that two so-called neural network processors are available to data-center customers.

A leaked paper from Google’s quantum computing lab claims “supremacy” over conventional computers. The U.S. space agency NASA, whose scientists are collaborating with Google on a quantum computer, accidentally published a paper describing the breakthrough.

Silicon Valley startup Cerebras shifted out of stealth mode to unveil its flagship product: an enormous chip designed from the ground up to accelerate neural networks.