Amazon Machine Learning VS JarvisLabs.ai

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

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Amazon Machine Learning

Machine learning made easy for developers of any skill level

JarvisLabs.ai

Let's make AI simple

Landing page //
2023-03-13

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

Website: aws.amazon.com
Pricing URL: -
Release Date: -

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JarvisLabs.ai

Website: jarvislabs.ai
Pricing URL: Official JarvisLabs.ai Pricing
Release Date: 2019 December

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Amazon Machine Learning features and specs

Scalability
Amazon Machine Learning can handle increased workloads easily without significant changes in the infrastructure, making it ideal for growing businesses.
Integration with AWS
Seamlessly integrates with other AWS services like S3, EC2, and Lambda, simplifying data storage, processing, and deployment.
Ease of Use
User-friendly AWS Management Console and APIs make it easier for developers to build, train, and deploy machine learning models without needing deep ML expertise.
Performance
Offers high-performance computing capabilities that can accelerate the training and inference processes for machine learning models.
Cost-Effective
Pay-as-you-go pricing model ensures that you only pay for what you use, making it a cost-effective solution for various ML needs.
Prebuilt AI Services
Provides prebuilt, ready-to-use AI services like Amazon Rekognition, Amazon Comprehend, and Amazon Polly, which simplify the implementation of complex ML solutions.

Possible disadvantages of Amazon Machine Learning

Complexity
While the service is designed to be user-friendly, the underlying complexity of Machine Learning algorithms and models can be a barrier for novice users.
Vendor Lock-In
Using Amazon Machine Learning extensively may lead to dependency on AWS services, making it difficult to switch providers or integrate with non-AWS services in the future.
Cost Management
Although pay-as-you-go is cost-effective, if not managed properly, costs can quickly escalate especially with extensive use and large-scale data processing.
Limited Customization
Prebuilt models and services may lack the level of customization needed for highly specialized use-cases requiring unique algorithms or configurations.
Data Privacy
Storing and processing sensitive data on an external service may raise concerns regarding data privacy and compliance with data protection regulations.
Learning Curve
Despite its ease of use, there is still a learning curve associated with mastering the AWS ecosystem and effectively utilizing its machine learning capabilities.

JarvisLabs.ai features and specs

No features have been listed yet.

Amazon Machine Learning videos

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Introduction to Amazon Machine Learning - Predictive Analytics on AWS

JarvisLabs.ai videos

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How to use Jarvislabs.ai

Category Popularity

0-100% (relative to Amazon Machine Learning and JarvisLabs.ai)

Amazon Machine Learning

JarvisLabs.ai

89 89%

11% 11

Developer Tools

93 93%

Developer Tools

7% 7

Data Science And Machine Learning

92 92%

Data Science And Machine Learning

8% 8

Cloud Computing

0 0%

Cloud Computing

100% 100

User comments

Share your experience with using Amazon Machine Learning and JarvisLabs.ai. For example, how are they different and which one is better?

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.

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: over 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: about 4 years ago

JarvisLabs.ai mentions (5)

How to pay for rundiffusion
Try https://jarvislabs.ai if rundiffusion doesn't work for you. Its cheaper. Source: about 2 years 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 2 years 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 2 years 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: about 2 years 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 3 years ago