Nvidia launches Rapids to help bring GPU acceleration to data analytics

Nvidia, together with partners like IBM, HPE, Oracle, Databricks and others, is launching a new open-source platform for data science and machine learning today. Rapids, as the company is calling it, is all about making it easier for large businesses to use the power of GPUs to quickly analyze massive amounts of data and then use that to build machine learning models.

NVIDIA Introduces RAPIDS Open-Source GPU-Acceleration Platform for Large-Scale Analytics and ML

NVIDIA Introduces RAPIDS Open-Source GPU-Acceleration Platform for Large-Scale Data Analytics and Machine Learning

HPE, IBM, Oracle, Open-Source Community, Startups Integrate RAPIDS, Giving Giant Performance Boost to End-to-End Predictive Data Analytics

IBM (IBM) Announces Collaboration with NVIDIA (NVDA) to Expand Open Source Machine Learning Tools for Data Scientists

IBM and NVIDIA Collaborate to Expand Open Source Machine Learning Tools for Data Scientists

RAPIDS, new GPU-accelerated libraries to be made available in PowerAI on IBM POWER9, IBM Cloud, and IBM Watson Studio

The X.Org / Mesa GPU Talks From XDC2018 Are Now Available

The exciting X.Org Developers' Conference (XDC 2018) that took place two weeks back with talks ranging from open-source GPU drivers to continuous integration and more are now available for your viewing pleasure online.

NVIDIA Announces "RAPIDS" Open-Source Data Analytics / Machine Learning Platform

NVIDIA has announced RAPIDS as their latest open-source project.

NVIDIA RAPIDS is an open-source data analytics and machine learning platform. RAPIDS is intended as an end-to-end solution for data science training pipelines on graphics processors. NVIDIA announced RAPIDS from their GTC Europe 2018 conference happening this week in Munich.

vRt Aims To Be A Unified Vulkan Ray-Tracing Library

Even if you don't have a new NVIDIA RTX graphics card, the open-source vRt project aims to offer Vulkan-based ray-tracing for modern graphics cards.

vRt is a newer project (well, already with nearly 900 commits) that offers a unified ray-tracing, cross-platform library built against Vulkan 1.1. The vRt project aims for high performance at 100Mrays/r on RX Vega 64 class hardware, makes use of Vulkan compute, and is working on both Windows and Linux so far.

ROCm 1.9.1 Released With Vega 7nm DPM Support, Profiling Fix

As a follow-up to the ROCm 1.9 release from a month ago that brought initial Vega 20 support, upstream kernel compatibility with the AMDKFD code, and other improvements, ROCm 1.9.1 was quietly released a few days ago.