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9 results for aws.amazon.com:

overschythe t1_ir5h23a wrote on October 5, 2022 at 2:09 PM

Reply to comment by Zatania in [R] Google Colab alternative by Zatania

This solution may fit you [AWS SageMaker](https://aws.amazon.com/sagemaker/pricing/)

MonstarGaming t1_iz2f60y wrote on December 5, 2022 at 11:35 PM

Reply to [D] Is there an affordable way to host a diffusers Stable Diffusion model publicly on the Internet for "real-time"-inference? (CPU or Serverless GPU?) by OkOkPlayer

free tier for it. In fact, [the first 150,000 seconds of serverless inference are free](https://aws.amazon.com/sagemaker/pricing/?nc=sn&loc=3).

mbmba t1_izetueh wrote on December 8, 2022 at 4:20 PM

Reply to [D] Product Recommendation Algorithm by RstarPhoneix

Amazon pretty much offers their recommendation engine through[Amazon Personalize](https://aws.amazon.com/blogs/machine-learning/creating-a-recommendation-engine-using-amazon-personalize/). Instead, If you want build one from scratch, I strongly recommend you read up the many white papers that have been written

GravyCapin t1_j0ub75b wrote on December 19, 2022 at 2:02 PM

Reply to comment by [deleted] in Amazon 'Saved the Ukrainian Government' With Suitcase-Sized Hard Drives by Mynameis__--__

have been deployed by the US military, they are very rugged and reliable to my understanding https://aws.amazon.com/blogs/publicsector/aws-snowball-edge-for-the-dod-bringing-storage-and-compute-to-tactical-situations/

I_will_delete_myself OP t1_j98ql8h wrote on February 20, 2023 at 2:51 AM

Reply to comment by No_Goat277 in [D] Things you wish you knew before you started training on the cloud? by I_will_delete_myself

free credits online if you ask for it up to the thousands for research https://aws.amazon.com/government-education/research-and-technical-computing/cloud-credit-for-research/ https://www.microsoft.com/en-us/azure-academic-research/ https://edu.google.com/intl/ALL_us/programs/credits/research/?modal_active=none The cloud vs local debate depends on your needs though

I_will_delete_myself OP t1_j9fp5fh wrote on February 21, 2023 at 4:20 PM

Reply to comment by gamerx88 in [D] Things you wish you knew before you started training on the cloud? by I_will_delete_myself

mobile device is great, it allows you to check anywhere and do some simple things quickly. * https://aws.amazon.com/about-aws/whats-new/2013/01/08/use-amazon-cloudwatch-to-detect-and-shut-down-unused-amazon-ec2-instances/

Triton kernels to speed up transformer models which also looks interesting. Are things like [SageMaker Neo](https://aws.amazon.com/sagemaker/neo/) or [NeuralMagic](https://github.com/neuralmagic/deepsparse) worth trying? My only reservation with some of these is they

have to. In this [reproducible experiment](https://github.com/Nixtla/statsforecast/tree/main/experiments/amazon_forecast), we compare [Amazon Forecast](https://aws.amazon.com/forecast/) and [StatsForecast](https://github.com/Nixtla/statsforecast) a python open-source library for statistical methods. Since AWS Forecast specializes in demand