Start training deep learning models on NVidia K80 or Titan X GPUs starting at $0.49/hour Get Started Today The NVIDIA Deep Learning GPU Training System (DIGITS) puts the power of deep learning in the hands of data scientists and researchers. Quickly design the best deep neural network (DNN) for your data using real-time network behavior visualization. Best of all, DIGITS is a complete system so you don’t have to write any code. DIGITS integrates the popular Caffe deep learning framework and Torch. You can train neural network models, including pre-built AlexNet and GoogleNet models. Get started with DIGITS in just 3 easy steps and get your DIGITS environment up and running in minutes. (For those of you who would like to watch instead of read, here is a 35 second screencast of the three steps). Step-1: To get started, click here You may have to sign-up for a new account on Nimbix if you don’t have an account already. Just login to your Nimbix account if you already have an account. After you have logged in to https://platform.jarvice.com, navigate to the “Compute” tab and select NVIDIA DIGITS. Step-2: You can keep the default $0.49 / hour GPU or select other GPUs to suit your needs. Then hit “Continue”. You may be prompted with a modal summarizing the machine configuration asking you to hit “Submit” again. Step-3: From the Dashboard tab, click on the job that has just launched to expand its details. A connect button will appear shortly after your job enters the “Processing” state. This will open a link to the NVIDIA DIGITS UI directly in your browser. You will also be able to SSH to the machine using the username “nimbix” and the same IP address/password. If you have any questions or need help get started with NVIDIA DIGITS on Nimbix, please don’t hesitate to live chat with us right on this page by clicking the blue/white bubble on the bottom right or emailing us at firstname.lastname@example.org. Once you are on the DIGITS UI, here are a few things you can try.
Deep learning users can now access pre-configured NVIDIA DIGITS Titan-X GPU instance starting at 49 cents per hour on Nimbix! Get Started Today Data Scientists and Deep learning users can now try the single-click solution on Cloud Service Provider Nimbix to launch an instance configured to run NVIDIA DIGITS on Titan-X GPUs at as low as $0.49/hour, the most affordable high performance GPUs compared to anywhere in the cloud, powered by Bitfusion Boost’s Software Defined Supercompute technology. The NVIDIA Deep Learning GPU Training System (DIGITS) puts the power of deep learning in the hands of data scientists and researchers. Quickly design the best deep neural network (DNN) for your data using real-time network behavior visualization. Best of all, DIGITS is a complete system so you don’t have to write any code. DIGITS integrates the popular Caffe deep learning framework and Torch. You can train neural network models, including pre-built AlexNet and GoogleNet models. Developers who use Caffe or Torch can now focus on training their neural networks faster in the most affordable manner, without worrying about configuring drivers, kernels or toolkits! Data Scientists and Developers today spend a lot of time in configuring their development environment to get deep learning frameworks like Caffe or Torch running. Moreover, there is not really any option to use machines with powerful GPUs like TitanX or K80s on an hourly basis. The single-click solution lowers the barrier for deep learning developers and data scientists to spin up affordable Titan-X GPU instances powered by Bitfusion Boost’s GPU virtualization technology. This enables developers to save money by not having to reserve a larger machine up-front for development, and also gives them flexibility to demand larger number of GPUs when they are ready to use them. Digits instance comes pre-installed with Nvidia Drivers, Cuda 7 Toolkit, cuDNN 3, Caffe, and Torch. Pay-per-use pricing start at $0.49 per hour for one Titan-X GPU, which is the lowest price compared to anywhere in the cloud today. You can keep adding additional GPUs as you see fit for your application. Monthly subscription pricing is also available. Pricing includes all infrastructure and platform licensing fees. You can access NVIDIA DIGITS on Nimbix immediately by going here and selecting NVIDIA DIGITS on the page. Here is a screencast of how to launch a NVIDIA DIGITS instance on Nimbix in less than a minute. To get started, follow these 3 easy steps. Get Started Today If you have any questions or need help get started with NVIDIA DIGITS on Nimbix, please don't hesitate to live chat with us right on this page by clicking the blue/white bubble on the bottom right or emailing us at email@example.com. Once you have launched DIGITS, here are a few things you can try.
We've been been cooking up several more AMIs to get you started on AWS quickly. This time we are introducing the Nvidia Digits 3 AMI which is designed to to get you started quickly with Nvidia's deep learning package which includes their branched versions of Caffe and Torch, as well as a browser accessible interface for quick experimentation. The second AMI is built on top of Ubuntu 14, the Cuda 7.5 Toolkit, and the latest Nvidia drivers, and is targeted at Cuda developers and those intending to deploy GPU applications with ease.