Features new native integration with Python ecosystem and expanded cache management Alluxio, the developer of the open-source data platform, announced the immediate availability of the latest ...

Every day there are reports of the latest advances in deep learning (DL) from researchers, data scientists, and developers around the world. Less well known is the momentum behind enterprise adoption ...

The graphics processing unit (GPU) has evolved from silicon that only gamers cared about to something that's now widely used for accelerating power-intensive applications. GPUs are now important for ...

Today NVIDIA announced a GPU-acceleration platform for data science and machine learning, with broad adoption from industry leaders, that enables even the largest companies to analyze massive amounts ...

VMware, as a virtualization platform, provides various features or options to enhance the functionality and performance of the VMs. One such option is 3D acceleration, which helps us enhance our ...

GPU manufacturers recently added support for hardware-accelerated GPU scheduling. The feature is available on the Windows 10 May 2020 Update and you can follow this guide to enable it. Last week ...

An end-to-end data science ecosystem, open source RAPIDS gives you Python dataframes, graphs, and machine learning on Nvidia GPU hardware Building machine learning models is a repetitive process.

Microsoft has introduced a new interesting feature in Windows that is named Hardware-accelerated GPU Scheduling. This feature is part of the WDDM 2.7, which effectively reduces latency and increases ...

Facebook’s AI research team has released a Python package for GPU-accelerated deep neural network programming that can complement or partly replace existing Python packages for math and stats, such as ...

Microsoft has started pushing out its May 2020 Update for Windows 10, though not everyone is receiving it at once. For those who are able to install the update, one of the highlights is support for ...