Software Alternatives & Reviews

Amazon Forecast VS Google Cloud TPU

Compare Amazon Forecast VS Google Cloud TPU and see what are their differences

Amazon Forecast logo Amazon Forecast

Accurate time-series forecasting service, based on the same technology used at Amazon.com. No machine learning experience required.

Google Cloud TPU logo Google Cloud TPU

Custom-built for machine learning workloads, Cloud TPUs accelerate training and inference at scale.
  • Amazon Forecast Landing page
    Landing page //
    2022-02-05
  • Google Cloud TPU Landing page
    Landing page //
    2023-08-19

Amazon Forecast

Categories
  • Data Science And Machine Learning
  • Data Science Tools
  • Data Dashboard
  • Technical Computing
Website aws.amazon.com
Details $-

Google Cloud TPU

Categories
  • Data Science And Machine Learning
  • Data Science Tools
  • Data Dashboard
  • Technical Computing
Website cloud.google.com
Details $

Amazon Forecast videos

Learn How to Accurately Forecast Demand with Amazon Forecast - AWS Online Tech Talks

More videos:

  • Review - Amazon Forecast Overview
  • Review - AWS re:Invent 2020: Building a successful inventory planning solution with Amazon Forecast

Google Cloud TPU videos

No Google Cloud TPU videos yet. You could help us improve this page by suggesting one.

+ Add video

Category Popularity

0-100% (relative to Amazon Forecast and Google Cloud TPU)
Data Science And Machine Learning
Data Dashboard
47 47%
53% 53
Data Science Tools
47 47%
53% 53
Technical Computing
56 56%
44% 44

User comments

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Social recommendations and mentions

Google Cloud TPU might be a bit more popular than Amazon Forecast. We know about 5 links to it since March 2021 and only 4 links to Amazon Forecast. 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.

Amazon Forecast mentions (4)

  • Beginning the Journey into ML, AI and GenAI on AWS
    Generative Artificial Intelligence (GenAI) is a type of artificial intelligence that can generate text, images, or other media using generative models. AWS offers a range of services for building and scaling generative AI applications, including Amazon SageMaker, Amazon Rekognition, AWS DeepRacer, and Amazon Forecast. AWS has also invested in developing foundation models (FMs) for generative AI, which are... - Source: dev.to / 2 months ago
  • [Discussion] Amazon's AutoML vs. open source statistical methods
    In this reproducible experiment, we compare Amazon Forecast and StatsForecast a python open-source library for statistical methods. Source: over 1 year ago
  • How to forecast or predict data?
    It sounds like you need something that mostly runs itself, without you necessarily needing to have in-depth knowledge of time series modeling. If you have an AWS account, I'd recommend checking out Amazon Forecast. One of the recommendations I saw in this thread is to run auto.arima in R. That's actually one of the algorithms AWS will run for you, among others. I don't know if it handles differencing and... Source: over 2 years ago
  • AWS Machine Learning Tools in 2021
    With the help of Amazon Forecast, the forecasting technology at the heart of Amazon.com, it is now possible to build forecasting models for your own applications. - Source: dev.to / about 3 years ago

Google Cloud TPU mentions (5)

  • Pathways Language Model (Palm): 540B Parameters for Breakthrough Perf
    According to https://cloud.google.com/tpu, each individual TPUv3 has 420 Teraflops, and TPUv4 is supposed to double that performance, so if that guess is correct, it should take a few seconds to do inference. Quite impressive really. - Source: Hacker News / almost 2 years ago
  • The AI Research SuperCluster
    You can also rent a cloud TPU-v4 pod (https://cloud.google.com/tpu) which 4096 TPUv-4 chips with fast interconnect, amounting to around 1.1 exaflops of compute. It won't be cheap though (excess of 20M$/year I believe). - Source: Hacker News / about 2 years ago
  • Stadia's future includes running the backend of other streaming platforms, job listing reveals
    Actually, that's done with TPUs which are more efficient: https://cloud.google.com/tpu. Source: over 2 years ago
  • Nvidia CEO: Ethereum Is Going To Be Quite Valuable, Transactions Will Still Be A Lot Faster
    TPU training uses Google silicon and is thus a true deep learning alternative to Nvidia. Source: almost 3 years ago
  • Server Question
    The server choice really depends on how much CPU and RAM the requests take, how many users will be hitting the server, etc. You can start with a $5/month Digital Ocean server (or AWS or Google) and see if that works for you. Or you can outsource the server administration to Amazon or Google if you don't want to deal with it or need specialized tpu hardware. Source: almost 3 years ago

What are some alternatives?

When comparing Amazon Forecast and Google Cloud TPU, you can also consider the following products

Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

machine-learning in Python - Do you want to do machine learning using Python, but you’re having trouble getting started? In this post, you will complete your first machine learning project using Python.

AWS Personalize - Real-time personalization and recommendation engine in AWS

BigML - BigML's goal is to create a machine learning service extremely easy to use and seamless to integrate.

Qubole - Qubole delivers a self-service platform for big aata analytics built on Amazon, Microsoft and Google Clouds.

python-recsys - python-recsys is a python library for implementing a recommender system.