Nvidia has updated its CUDA software platform, adding a programming model designed to simplify GPU management. Added in what the chip giant claims is its “biggest evolution” since its debut back in ...

As AI becomes more like a recurring utility expense, IT decision-makers need to keep an eye on enterprise spending. The costs of GPU use in data centers could track with overall costs for AI. AI is ...

TL;DR: AMD's new Instinct MI430X GPU, based on CDNA 5 architecture and equipped with 432GB HBM4 memory at 19.6TB/sec bandwidth, targets HPC and large-scale AI workloads. Deployed in top supercomputers ...

ScaleOps has expanded its cloud resource management platform with a new product aimed at enterprises operating self-hosted large language models (LLMs) and GPU-based AI applications. The AI Infra ...

There’s a new engine under the hood of AI, and it’s called a neocloud. As of yet, neoclouds are largely unknown outside the tech industry. For those hearing this term for the first time, a neocloud is ...

Credit: Image generated by VentureBeat with FLUX-pro-1.1-ultra A quiet revolution is reshaping enterprise data engineering. Python developers are building production data pipelines in minutes using ...

Today Nvidia announced that growing ranks of Python users can now take full advantage of GPU acceleration for HPC and Big Data analytics applications by using the CUDA parallel programming model. As a ...

AMD requires a Senior AI/ML and GPU Performance QA Engineer who will manage validation and performance testing for machine ...