AWS Deep Learning AMIs
AWS Auto Scaling
IBM Cloud Bare Metal Servers
Faronics Deep Freeze
Amazon Elastic Inference
Amazon Simple Workflow Service (SWF)
Zing
MxToolBox
Clarifai
Amazon Rekognition
Google Vision AI
OpenCV
Kairos
Keras
Trueface Visionbox
Microsoft Computer Vision API
Clarifai is a leading deep learning AI platform for computer vision, natural language processing and automatic speech recognition. We help enterprises and public sector organizations transform unstructured images, video, text and audio data into structured data, significantly faster and more accurately than humans would be able to do on their own. Our technology is used across many industries including E-commerce, Defense, Retail, Manufacturing, and more.
Our platform is powered by state-of-the-art machine learning and comes with the broadest repository of pre-trained out-of-the-box AI models to search, sort, and organize visual, textual, and audio data and help companies build turnkey AI solutions. Our pre-trained models can detect explicit content, faces, embedded objects and text within images and video as well as predict various attributes such as celebrities, food items, textures, colors, and more. An intuitive, feature-rich user interface makes it easy to use for all skill levels. We offer a free API to researchers and developers to get started building their own models in the efforts of using AI to help the greater good.
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AWS Deep Learning AMIs can be used to accelerate deep learning by quickly launching Amazon EC2 instances. - Source: dev.to / over 2 years ago
Ok a bit more on topic of your question. Set up a docker locally on your computer, pick a relevant image with all the python stuff and then do pip install -r requirements -t ./dependencies zip it up, upload to S3 and then get it from there and use on the EC2 instance. Or look into using Deep Learning AMIs they should have pytorch installed: https://aws.amazon.com/machine-learning/amis/. Source: almost 3 years ago
Literally nothing stops you from running EC2 instance with GPU and configuring it yourself. There are even AMIs specialized for ML workloads with everything preconfigured and ready to use - https://aws.amazon.com/machine-learning/amis/. Source: almost 3 years ago
AWS Auto Scaling - Learn how AWS Auto Scaling monitors your applications and automatically adjusts capacity to maintain steady, predictable performance at the lowest possible cost.
Amazon Rekognition - Add Amazon's advanced image analysis to your applications.
IBM Cloud Bare Metal Servers - IBM Cloud Bare Metal Servers is a single-tenant server management service that provides dedicated servers with maximum performance.
Google Vision AI - Cloud Vision API provides a comprehensive set of capabilities including object detection, ocr, explicit content, face, logo, and landmark detection.
Faronics Deep Freeze - Faronics Deep Freeze provides the ultimate workstation protection by preserving the desired computer configuration and settings.
OpenCV - OpenCV is the world's biggest computer vision library