Software Alternatives & Reviews

RecoMind.io VS Google Cloud TPU

Compare RecoMind.io VS Google Cloud TPU and see what are their differences

RecoMind.io logo RecoMind.io

Personalized recommendations at scale

Google Cloud TPU logo Google Cloud TPU

Custom-built for machine learning workloads, Cloud TPUs accelerate training and inference at scale.
  • RecoMind.io Landing page
    Landing page //
    2021-09-20

We increase the conversion of your e-commerce with AI Recommendations.

We offer a commission-based service, there is no upfront investment from your part, we only get a small fee when we get you a sale.

We have 4 modalities of recommenders: product recommendation (increase conversion), you might also like (increase chances of buying and up-selling), frequently bought together (cross-selling) and similar items (down-selling).

  • Google Cloud TPU Landing page
    Landing page //
    2023-08-19

RecoMind.io

$ Details
freemium
Platforms
REST API Magento Wordpress Browser Web Cross Platform Cloud WooCommerce Shopify

Category Popularity

0-100% (relative to RecoMind.io and Google Cloud TPU)
eCommerce
100 100%
0% 0
Data Science And Machine Learning
Data Dashboard
0 0%
100% 100
Personalization
100 100%
0% 0

User comments

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Social recommendations and mentions

Based on our record, Google Cloud TPU seems to be more popular. It has been mentiond 5 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.

RecoMind.io mentions (0)

We have not tracked any mentions of RecoMind.io yet. Tracking of RecoMind.io recommendations started around Mar 2021.

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 / about 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 / over 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: almost 3 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: about 3 years ago

What are some alternatives?

When comparing RecoMind.io and Google Cloud TPU, you can also consider the following products

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

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

Google Recommender API - Google Recommender API is a service on Google Cloud that provides usage recommendations for Google Cloud resources.

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.

Microsoft Azure Recommendations - Predict what your customers want and increase catalog discoverability

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