Amazon Inferentia
AWS Auto Scaling
Amazon Elastic Inference
Amazon Simple Workflow Service (SWF)
Movable Type
Faronics Deep Freeze
MxToolBox
IBM Cloud Bare Metal Servers
AWS Deep Learning AMIs
AWS Auto Scaling
IBM Cloud Bare Metal Servers
Amazon Elastic Inference
Faronics Deep Freeze
Amazon Simple Workflow Service (SWF)
Zing
MxToolBox
Amazon InferentiaBased on our record, Amazon Inferentia should be more popular than AWS Deep Learning AMIs. It has been mentiond 6 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
> Here it says they're going to use Amazon's chips for training and inference, but...Amazon doesn't have its own chips yet??? Amazon has had its own chips for years. https://aws.amazon.com/machine-learning/inferentia/ https://aws.amazon.com/machine-learning/trainium/. - Source: Hacker News / 30 days ago
No idea if it's any good or not, but Amazon has their own "Inferentia" chips. https://aws.amazon.com/machine-learning/inferentia/. - Source: Hacker News / 30 days ago
You can use them today on AWS. [0] https://aws.amazon.com/machine-learning/inferentia/. - Source: Hacker News / 11 months ago
Amazon has their own TPU equivalents for training and inference: https://aws.amazon.com/machine-learning/trainium/ https://aws.amazon.com/machine-learning/inferentia/ But, I really don't think this would be a limiting factor regardless. It's not as if an Amazon or Microsoft sized company is incapable of developing custom silicon to meet an objective, once an objective is identified. - Source: Hacker News / about 1 year ago
You are mistaken. See https://en.m.wikipedia.org/wiki/Annapurna_Labs and some of their work (specialized chips similar to Google’s TPU): https://aws.amazon.com/machine-learning/inferentia/. Source: over 1 year ago
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 Elastic Inference - Utilities, Application Utilities, and Machine Learning as a Service
IBM Cloud Bare Metal Servers - IBM Cloud Bare Metal Servers is a single-tenant server management service that provides dedicated servers with maximum performance.
Amazon Simple Workflow Service (SWF) - Amazon SWF helps developers build, run, and scale background jobs that have parallel or sequential steps.
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Faronics Deep Freeze - Faronics Deep Freeze provides the ultimate workstation protection by preserving the desired computer configuration and settings.
