As data-driven technologies advance and evolve at an unprecedented pace, it's essential to focus on the foundational ...

Today at Advancing AI, we announced that AMD has surpassed our 30x25 goal, which we set in 2021 to improve the energy efficiency of AI-training and high-performance computing (HPC) nodes by 30x from ...

Jupiter isn't just Europe's most powerful system — for its size, it's also among the most efficient of the exascale-class ...

High-frequency trading and sovereign AI projects drive demand for non-Nvidia AI chips, as startups offer cost-and ...

Snowflake Intelligence allows business users to harness AI data agents to analyze, understand, and act on structured and ...

Remarkably, just as this problem became acute, machine learning rose to meet it ... As more of science becomes algorithmically accessible, the frontier will be defined not by what we can compute but ...

We thought it would be helpful to put together a glossary with definitions of some of the most important words and phrases that we use in our articles.

K2, a 65-billion parameter model optimized for reasoning tasks, was trained on 80 A100 chips using Nvidia’s DGX Cloud, developed using 35 percent less compute ... A new machine learning approach ...

The model suite delivers frontier-class ... a limited scope of compute. The company plans to invest aggressively in SWE models and intends on rapidly expanding its machine learning research ...

This capacity could lead Saudi Arabia to create frontier AI models ... “It changes the balance of compute in the world,” Tager says of the number of Nvidia chips headed to Saudi Arabia.

The rapid evolution of Artificial Intelligence (AI) and Machine Learning (ML) is driving an unprecedented ... scalable interconnects optimized for high bandwidth, low latency, and efficient hardware ...