Software Alternatives, Accelerators & Startups

JarvisLabs.ai VS Amazon Machine Learning

Compare JarvisLabs.ai VS Amazon Machine Learning and see what are their differences

JarvisLabs.ai logo JarvisLabs.ai

Let's make AI simple

Amazon Machine Learning logo Amazon Machine Learning

Machine learning made easy for developers of any skill level
  • JarvisLabs.ai Landing page
    Landing page //
    2023-09-05

At JarvisLabs, our mission is to democratize the power of AI by providing accessible and innovative solutions to all. You can select any latest frameworks or train and deploy AI, ML and DL models in few clicks. Say goodbye to the traditional barriers

  • Amazon Machine Learning Landing page
    Landing page //
    2023-03-13

JarvisLabs.ai videos

How to use Jarvislabs.ai

More videos:

  • Review - Rent GPU using JarvisLabs.ai for your AI, ML and DL workloads.

Amazon Machine Learning videos

Introduction to Amazon Machine Learning - Predictive Analytics on AWS

More videos:

  • Tutorial - AWS Machine Learning Tutorial | Amazon Machine Learning | AWS Training | Edureka

Category Popularity

0-100% (relative to JarvisLabs.ai and Amazon Machine Learning)
AI
12 12%
88% 88
Developer Tools
10 10%
90% 90
Analytics
100 100%
0% 0
Data Science And Machine Learning

User comments

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Social recommendations and mentions

Based on our record, JarvisLabs.ai should be more popular than Amazon Machine Learning. 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.

JarvisLabs.ai mentions (5)

  • How to pay for rundiffusion
    Try https://jarvislabs.ai if rundiffusion doesn't work for you. Its cheaper. Source: about 1 year ago
  • [D] Training a 65b LLaMA model
    Someone also mentioned https://jarvislabs.ai/ to me the other day, haven't used it myself but it looks promising. Source: about 1 year ago
  • jarvislabs.ai GPU Rental (Not sponsored, personal recommendation)
    Jarvislabs.ai is a cloud platform where you can rent GPU's, I've had a problem when I first tried their platform, and they helped me instantly on Google Meet and solved my problem. They're a start-up based in India and they told me they have their GPU's in-house. Source: about 1 year ago
  • Which cloud environment do you recommend for AI projects based on GPU-dependent deep learning?
    Checkout https://jarvislabs.ai/. Been using them for a good 6 months, their GPU instances are way cheaper than AWS/azure/gcp and it's perfect for running hundreds of modeling experiments. It's practically an extension of your local jupyterlab to a server jupyterlab. Customer support is great too. Source: over 1 year ago
  • [D] GPU access without limit increases
    Tried that, didn't work... It's an account wide limit on GPU instances... Seems to be consistent across all cloud providers except lambda labs/indie guys like jarvislabs.ai; using indie now. But, very strange why this happens. Source: over 2 years ago

Amazon Machine Learning mentions (2)

  • Rant + Planning to learn full stack development
    There’s also the ML as a service (MLaaS) movement that lowers the barrier for common ML capabilities (eg image object detection and audio transcription). Basically, you use APIs. See: https://aws.amazon.com/machine-learning/. Source: almost 2 years ago
  • Ask the Experts: AWS Data Science and ML Experts - Mar 9th @ 8AM ET / 1PM GMT!
    Do you have questions about Data Science and ML on AWS - https://aws.amazon.com/machine-learning/. Source: over 3 years ago

What are some alternatives?

When comparing JarvisLabs.ai and Amazon Machine Learning, you can also consider the following products

Vast.ai - GPU Sharing Economy: One simple interface to find the best cloud GPU rentals.

Machine Learning Playground - Breathtaking visuals for learning ML techniques.

Censius.ai - Building the future of MLOps

Lobe - Visual tool for building custom deep learning models

iko.ai - Real-time collaborative notebooks on your own Kubernetes clusters to train, track, package, deploy, and monitor your machine learning models.

Apple Machine Learning Journal - A blog written by Apple engineers