Software Alternatives, Accelerators & Startups

Scale Nucleus VS Paperspace

Compare Scale Nucleus VS Paperspace and see what are their differences

Scale Nucleus logo Scale Nucleus

The mission control for your ML data

Paperspace logo Paperspace

GPU cloud computing made easy. Effortless infrastructure for Machine Learning and Data Science
  • Scale Nucleus Landing page
    Landing page //
    2023-08-20
  • Paperspace Landing page
    Landing page //
    2023-07-15

Scale Nucleus videos

Using Scale Nucleus & Rapid to Label New Datasets Efficiently

More videos:

  • Review - Scale Nucleus: Send to Annotation
  • Review - Scale Nucleus: Find Missing Annotations

Paperspace videos

How is Paperspace for Cloud Gaming in 2019?

More videos:

  • Review - Which One ? Paperspace OR Shadow ?

Category Popularity

0-100% (relative to Scale Nucleus and Paperspace)
Developer Tools
100 100%
0% 0
Games
0 0%
100% 100
AI
100 100%
0% 0
Cloud Computing
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, Paperspace should be more popular than Scale Nucleus. It has been mentiond 7 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.

Scale Nucleus mentions (2)

  • [Discussion] The most painful thing about machine learning
    At Scale we built a tool for model debugging in computer vision called Nucleus (scale.com/nucleus) designed exactly for this, which is free try out if you're curious to see where your model predictions are most at odds with your ground truth. Source: over 2 years ago
  • Unit Testing for Production ML Workflows?
    To address your point about gathering edge cases, which can also be defined as cases of low model fidelity for our use cases, there is active learning and tools such as Aquarium Learning and Scale Nucleus which make it easy to implement into workflows. Source: almost 3 years ago

Paperspace mentions (7)

  • RIP Stadia - Where to play? 🤷
    Before I built my rig. I used paperspace.com and parsec. you'll probably have to request that they unlock a better gpu server for you though. If you need any help just shoot me a message. Its like 50 cents an hour. Source: over 1 year ago
  • AWS doesn't make sense for scientific computing
    There are several tier-two clouds that offer GPUs but I think they generally fall prey to the many of the same issues you'll find with AWS. There is a new generation of accelerator native clouds e.g. Paperspace (https://paperspace.com) that cater specifically to HPC, AI, etc. workloads. The main differentiators are:. - Source: Hacker News / over 1 year ago
  • Casual ESO cloud gaming in a post-Stadia world
    Guess you've never heard of paperspace.com :) Their systems (depending on the configuration ofc) work great with ESO and they run windows and it's parsec compatible. Source: over 1 year ago
  • Mac vs. PC - which to buy?
    Something else to look into for a Windows machine would be Paperspace. It can be a little flaky at times, but you get a Windows machine in the cloud which works from a web browser. Even a pretty good one only costs $7 a month for storage 50¢ an hour to run. If you need a Windows machine in a hurry this is definitely your cheapest option. Source: almost 2 years ago
  • Ask HN: Any piece of hardware that was more of game changer than you expected?
    Have you ever tried Paperspace (https://paperspace.com)? I've spent many hours gaming using their Windows offerings, although always strategy games so the latency hasn't been noticeable. I'm not sure how well it would work for FPS (probably reasonably, to be honest). They have a large number of general computing/graphics-specific machines you can spin up, and you can either pay per hour or per month. I've also... - Source: Hacker News / over 2 years ago
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What are some alternatives?

When comparing Scale Nucleus and Paperspace, you can also consider the following products

Aquarium - Improve ML models by improving datasets they’re trained on

Shadow - Transform any device into a supercharged gaming machine.

PerceptiLabs - A tool to build your machine learning model at warp speed.

Parsec - Streams games locally or over the internet

ML Image Classifier - Quickly train custom machine learning models in your browser

Geforce Now - Underpowered PC can now pack the punch of high-performance GeForce GTX GPUs with GeForce NOW.