GET STARTED
by maciej on October 21, 2016

Bitfusion Deep Learning AMIs Now Available on AWS P2 Instances

Bitfusion Deep Learning AMIs including TensorFlow, Caffe, Torch, Theano, Chainer, and Digits 4 are now available on the newly announced AWS P2 Instances.

Recently AWS introduced new P2 Instances which feature Nvidia K80 Accelerators with GK210 GPUs. Unlike the previous G2 instanced which were equipped with K520 cards, where each card only had 4 GiB of memory, each GPU in the P2s has 12 GiB of memory with a memory bandwidth of 240 GB/s. The table below summarizes the specifications for the new P2 Instances:

 

Instance vCPU Count System Memory GPU Count Total GPU Memory Network
p2.xlarge 4 61 GiB 1 12 GiB High
p2.8xlarge 32 488 GiB 8 96 GiB 10 Gigabit
p2.16xlarge 64 732 GiB 16 192 GiB 20 Gigabit


The new P2 instances provide significant advantages over the last generation of instances when it comes to deep learning, including the ability to train neural networks significantly faster and to work with larger models that previously exceeded the GPU memory limits. We will be posting a follow on blog shortly detailing some performance benchmarks between the new P2 instances and the previous generation of G2 instances. In the meantime, we have qualified our deep learning AMIs on the new P2 instances and they are are available in the AWS Marketplace as follows:

Bitfusion Boost Ubuntu 14 Caffe

 

Bitfusion Boost Ubuntu 14 Caffe AMI

Pre-installed with Ubuntu 14, Nvidia Drivers, Cuda 7.5 Toolkit, cuDNN 5.1, Caffe, pyCaffe, and Jupyter. Boost enabled for multi-node deployment. Get started with Caffe machine learning and deep learning in minutes.

Launch on AWS!

 

Bitfusion Boost Ubuntu 14 Torch 7

 

Bitfusion Boost Ubuntu 14 Torch 7 AMI

Pre-installed with Ubuntu 14, Nvidia Drivers, Cuda 7.5 Toolkit, cuDNN 5.1, Torch 7, iTorch, and Jupyter. Boost enabled for multi-node deployment. Get started with Torch numerical computing, machine learning, and deep learning in minutes.

Launch on AWS!

Bitfusion Ubuntu 14 Chainer

Bitfusion Ubuntu 14 Chainer AMI

Pre-installed with Nvidia Drivers, Cuda 7.5 Toolkit, cuDNN 5.1, Chainer 1.13.0, and Jupyter. Optimized to leverage Nvidia GRID as well as CPU instances. Designed for developers as well as those eager to get started with the flexible Chainer framework for neural networks.

Launch on AWS! 

Bitfusion Ubuntu 14 Digits 4

 

Bitfusion Ubuntu 14 Digits 4 AMI

Pre-installed with the Deep Learning GPU Training System (DIGITS) from Nvidia. Leverage GPU instances to accelerate pre-installed Caffe and Torch applications. Train deep neural networks and view results directly from your browser.

Launch on AWS! 

Bitfusion Ubuntu 14 TensorFlow

 

Bitfusion Ubuntu 14 TensorFlow AMI

Pre-installed with Ubuntu 14, Nvidia Drivers, Cuda 7.5 Toolkit, cuDNN 5.1, TensorFlow, Magenta, Keras and Jupyter. Get started with TensorFlow deep learning, machine learning, and numerical computing in minutes with pre-installed tutorial collateral.

Launch on AWS! 

Bitfusion Ubuntu 14 Theano

 

Bitfusion Ubuntu 14 Theano AMI

Pre-installed with Ubuntu 14, Nvidia Drivers, Cuda 7.5 Toolkit, cuDNN 5, Theano, and Jupyter. Get started with Theano deep learning, machine learning, and numerical computing, and develop interactive Theano scripts via python directly from your browser.

Launch on AWS! 

Deep Learning

 

Bitfusion Mobile Deep Learning Service AMI

Pre-installed with Nvidia Drivers, Cuda 7.5 Toolkit, Caffe, GPU Rest Engine, Pre-trained Models, and a simple Rest API server. Use existing pre-trained models or train your own models and then integrate inference tasks into your applications via the provided REST API.

Launch on AWS!

 

Topics: ami, deep learning

Search

New Call-to-action

Stay Up-to-Date!

Get our regular deep learning and AI news, insights, tutorials, and more.