Alibaba Cloud Announces Cooperation with NVIDIA GPU Cloud (NGC) at The Computing Conference – Shenzhen Summit

简介: The NVIDIA GPU Cloud (NGC) image is now available on Alibaba Cloud! Accelerate AI application development with NGC GPU-accelerated containers.

At the 2018 Computing Conference Shenzhen Summit on March 28, Alibaba Cloud announced the cooperation with NVIDIA GPU Cloud (NGC). Now, developers can download the NVIDIA GPU Cloud image from the Alibaba Cloud Marketplace and run NGC containers to use the NVIDIA GPU computing platform on Alibaba Cloud. NGC containers can be used to access NVIDIA optimized deep learning software, HPC applications, NVIDIA HPC visualization tools, and applications of partners. Alibaba Cloud is the first cloud provider to integrate NGC GPU-accelerated containers in China.

GPU for Artificial Intelligence Research

Currently, more than one million engineers around the world are engaged in artificial intelligence (AI), and they are in great need of latest deep learning frameworks and convenient development environments. In the past, software integration jobs such as driver installation and library compiling are time consuming and labor intensive. Now, the GPU computing platform on Alibaba Cloud can work with NGC to significantly reduce the development environment provisioning time.

Benefits of NVIDIA GPU Cloud

NGC can help developers access deep learning containers for free. Deep learning frameworks, including Caffe, Caffe2, CNTK, MXNet, TensorFlow, Theano, and Torch, are pre-integrated, tested, and optimized for NVIDIA GPU, removing the need for manual integration.

The NGC containers on Alibaba Cloud enable developers to quickly access deep learning frameworks, saving a lot of time in product development and service deployment. Users can establish their own AI applications by using Alibaba Cloud and NGC containers.

Research Initiatives by Alibaba Cloud

Since 2015, Alibaba Cloud has launched a series of heterogeneous acceleration platforms for the Elastic GPU cloud computing service, to offer global acceleration capabilities for the AI industry in various scenarios. In November 2017, Alibaba Cloud launched GN6, the first instance with NVIDIA® Tesla® V100 GPUs in China, which improves the deep learning performance multiple folds. Now, several million developers are gaining their deep learning and AI development abilities by leveraging Alibaba Cloud.

As AI has been industrialized, turning the latest AI technology into productivity becomes one of core demands of enterprises. To enable complex and cutting-edge AI technologies to be more widely used, Alibaba Cloud has launched various solutions such as the machine learning algorithm platform PAI and ET Brain while improving the cloud infrastructure. These solutions help enterprises innovate more easily, and enable computing and AI technologies to better serve people.

相关实践学习
基于阿里云DeepGPU实例,用AI画唯美国风少女
本实验基于阿里云DeepGPU实例,使用aiacctorch加速stable-diffusion-webui,用AI画唯美国风少女,可提升性能至高至原性能的2.6倍。
目录
相关文章
|
Shell TensorFlow 算法框架/工具
How to Accelerate Your Python Deep Learning with Cloud GPU?
Overloaded This afternoon, I trained a 3-layers neural network as a regression model to predict the house price in Boston district with Python and Keras.
1442 0
|
虚拟化 异构计算
Interview with Alibaba Cloud Heterogeneous Computing Director: A Trio of Heterogeneous Computing: Domination by a Trio of GPU, FPGA, and ASIC Chips
From October 11 to 14, 2017, The Computing Conference will be held once again in Hangzhou's Yunqi township.
2493 0
|
3月前
|
人工智能 机器人 Serverless
魔搭大模型一键部署到阿里云函数计算,GPU 闲置计费功能可大幅降低开销
魔搭大模型一键部署到阿里云函数计算,GPU 闲置计费功能可大幅降低开销
580 2
|
4月前
|
机器学习/深度学习 弹性计算 TensorFlow
阿里云GPU加速:大模型训练与推理的全流程指南
随着深度学习和大规模模型的普及,GPU成为训练和推理的关键加速器。本文将详细介绍如何利用阿里云GPU产品完成大模型的训练与推理。我们将使用Elastic GPU、阿里云深度学习镜像、ECS(云服务器)等阿里云产品,通过代码示例和详细说明,带你一步步完成整个流程。
760 0
|
4月前
|
机器学习/深度学习 存储 弹性计算
阿里云GPU云服务器有哪些版本
阿里云GPU云服务器有哪些版本
|
4月前
|
机器学习/深度学习 人工智能 弹性计算
阿里云GPU云服务器有哪些方案
阿里云GPU云服务器有哪些方案
|
1月前
|
存储 机器学习/深度学习 并行计算
阿里云服务器X86计算、Arm计算、GPU/FPGA/ASIC、高性能计算架构区别
在我们选购阿里云服务器的时候,云服务器架构有X86计算、ARM计算、GPU/FPGA/ASIC、弹性裸金属服务器、高性能计算可选,有的用户并不清楚他们之间有何区别,本文主要简单介绍下不同类型的云服务器有何不同,主要特点及适用场景有哪些。
阿里云服务器X86计算、Arm计算、GPU/FPGA/ASIC、高性能计算架构区别
|
1月前
|
机器学习/深度学习 存储 弹性计算
阿里云GPU服务器价格多少钱?2024年阿里云GPU服务器价格配置及性能测评
2024年阿里云GPU服务器是一款高性能的计算服务器,基于GPU应用的计算服务,多适用于视频解码、图形渲染、深度学习、科学计算等应用场景。阿里云GPU服务器具有超强的计算能力、网络性能出色、购买方式灵活、高性能实例存储等特点。 阿里云提供了多种配置的GPU服务器,包括gn6v、gn6i、vgn6i-vws和gn6e等,这些服务器配备了不同型号的GPU计算卡、不同规格的内存和存储空间,可以满足不同用户的计算需求。同时,阿里云还为新用户提供了特惠价格,包年购买更是低至3折起,使得用户可以更加经济地购买到高性能的GPU服务器。
148 0