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Google Cloud TPU VS BigML

Compare Google Cloud TPU VS BigML and see what are their differences

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Google Cloud TPU logo Google Cloud TPU

Custom-built for machine learning workloads, Cloud TPUs accelerate training and inference at scale.

BigML logo BigML

BigML's goal is to create a machine learning service extremely easy to use and seamless to integrate.
  • Google Cloud TPU Landing page
    Landing page //
    2023-08-19
  • BigML Landing page
    Landing page //
    2022-10-08

Google Cloud TPU videos

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BigML videos

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BigML is Machine Learning for Everyone

More videos:

  • Review - BigML Spring 2016 Webinar - WhizzML!

Category Popularity

0-100% (relative to Google Cloud TPU and BigML)

Google Cloud TPU

BigML

Data Science And Machine Learning
40 40%
Data Science And Machine Learning
60% 60
Data Dashboard
52 52%
Data Dashboard
48% 48
Data Science Tools
44 44%
Data Science Tools
56% 56
Technical Computing
34 34%
Technical Computing
66% 66

User comments

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Social recommendations and mentions

Based on our record, Google Cloud TPU should be more popular than BigML. 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.

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: 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: about 3 years ago

BigML mentions (2)

  • Free for dev - list of software (SaaS, PaaS, IaaS, etc.)
    Bigml.com — Hosted machine learning algorithms. Unlimited free tasks for development, limit of 16 MB data/task. - Source: dev.to / almost 3 years ago
  • Theory: The price action was intentionally manipulated to prevent any AI from being able to predict it. First time this model shows as flat. Forever.
    They know the website is bigml.com it's possible they have many magnitudes better algorithms to predict this shit. And it's also possible they paid some quants to come up with price action that just completely fucks with BigML's algorithm entirely to make it look flat. Source: almost 3 years ago

What are some alternatives?

When comparing Google Cloud TPU and BigML, 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.

RapidMiner - RapidMiner is a software platform for data science teams that unites data prep, machine learning, and predictive model deployment.

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.

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

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

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

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