Context parallelism (CP) for distributed inference and training for biomolecular folding models across multiple GPUs using a 2D CP mesh combined with data parallelism, demonstrated with the Boltz ...

When using parallel, please include the following: Vega Yon GG, Quistorff B. parallel: A command for parallel computing. The Stata Journal. 2019;19(3):667-684. doi:10 ...

Google's open-source diffusion language model generates 256 tokens in parallel and self-corrects, hitting 4x speed on one GPU at a cost to quality.

As AI adoption accelerates, organizations will increasingly measure AI success not by model size, but by the economics of ...

Abstract: In parallel distributed data processing frameworks like Spark and Flink, task scheduling has a great impact on cluster performance. Though task Scheduling has proven to be an NP-complete ...

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

Throwing money at massive GPUs won't fix your AI budget; you need to optimize your software and rethink your cloud strategy ...

Abstract: Steering control for autonomous vehicles at high speeds is challenging due to the highly nonlinear vehicle dynamics. The traditional model-based controllers usually degrade significantly in ...

Transaction Data Across Xsolla's Publisher Network Shows D2C On PC Operating At Scale Across More Than 1,000 Games, An ...

Another day, another AI model from Google. This time, Google DeepMind has released a new member of the Gemma 4 open model family, but it’s fundamentally different from the rest of the lineup.

Steve Altizer argues that AI infrastructure demands a fundamentally different deployment model; one built around integrated ...