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NVivo VS Google Cloud TPU

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

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NVivo logo NVivo

Buy NVivo now for flexible solutions to meet your specific research and data analysis needs. 

Google Cloud TPU logo Google Cloud TPU

Custom-built for machine learning workloads, Cloud TPUs accelerate training and inference at scale.
  • NVivo Landing page
    Landing page //
    2023-06-29
  • Google Cloud TPU Landing page
    Landing page //
    2023-08-19

NVivo videos

+ Add

How to use NVivo for your Literature Review Part 1

More videos:

  • Tutorial - NVivo for your literature review- online tutorial
  • Review - Your Dissertation Literature Review Using NVivo

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 NVivo and Google Cloud TPU)

NVivo

Google Cloud TPU

Market Research
100 100%
Market Research
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Text Analytics
100 100%
Text Analytics
0% 0
Data Dashboard
0 0%
Data Dashboard
100% 100

User comments

Share your experience with using NVivo and Google Cloud TPU. For example, how are they different and which one is better?
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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.

NVivo mentions (0)

We have not tracked any mentions of NVivo yet. Tracking of NVivo 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 NVivo and Google Cloud TPU, you can also consider the following products

MAXQDA - a professional software for qualitative and mixed methods data analysis

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

ATLAS.ti - ATLAS.ti is a powerful workbench for the qualitative analysis of large bodies of textual, graphical, audio and video data. It offers a variety of sophisticated tools for accomplishing the tasks associated with any systematic approach to "soft" data.

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.

QualCoder - A very complete Free and Open Source Software (FOSS) Computer-Assisted Qualitative Data Analysis Software (CAQDAS) written in Python. It works with text, images, and multimedia such as audios and videos.

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

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